Numerical optimization method, device, equipment and medium for considering bearing capacity of steel frame and concrete precast slab

Abstract

The embodiment of the application discloses a numerical optimization method, device, equipment and medium considering the bearing capacity of a steel frame and a concrete prefabricated slab. The method comprises the following steps: collecting geometric parameters, material properties and connection parameters between the steel frame and the concrete prefabricated slab, respectively, constructing a geometric model based on the same, performing finite element mesh division, and assigning material properties and connection parameters to generate a finite element model, performing static load analysis and dynamic load analysis on the finite element model to obtain a bearing capacity response, continuously optimizing by changing the set parameters, material properties and connection parameters, analyzing the influence of different parameters on the bearing capacity, finding an optimal parameter combination, maximizing the bearing capacity, and marking stress concentration and weak areas based on the optimal parameter combination. The technical scheme can improve the accuracy of the steel frame-concrete prefabricated slab model, and improve the effectiveness and efficiency of parameter optimization for stress concentration and weak areas.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of architecture and civil engineering, and in particular to a numerical optimization method, device, equipment and medium for considering the bearing capacity of a steel frame and a concrete prefabricated slab. BACKGROUND

[0002] Steel frame-concrete prefabricated slab structures have been widely used in construction engineering due to their superior mechanical properties and convenient construction. Steel frames have high strength and good ductility, while concrete prefabricated slabs have high compressive capacity, and the combination of the two can significantly improve the overall bearing capacity and seismic performance of the structure. However, in practical applications, the connection parts of steel frames and concrete prefabricated slabs are complex, which can easily form stress concentration and weak areas, affecting the safety and durability of the structure.

[0003] In the prior art, the geometric parameters, material properties and connection parameters of the steel frame-concrete prefabricated slab are ignored, which leads to insufficient accuracy of the steel frame-concrete prefabricated slab model, and there is a lack of effective methods for identifying and optimizing stress concentration and weak areas, so that local optimization cannot be effectively performed. Therefore, there is an urgent need for a numerical optimization method for the bearing capacity of a steel frame and a concrete prefabricated slab to solve the above technical problems. SUMMARY

[0004] Therefore, the present application provides a numerical optimization method, device, equipment and medium for considering the bearing capacity of a steel frame and a concrete prefabricated slab, which can improve the accuracy of the steel frame-concrete prefabricated slab model, identify and mark the stress distribution cloud of the stress concentration and weak area, and optimize the parameters of the stress concentration and weak area to maximize the bearing capacity.

[0005] According to one aspect of the present application, the present application provides a numerical optimization method for considering the bearing capacity of a steel frame and a concrete prefabricated slab, which comprises:

[0006] Collecting first parameter information of a steel frame, second parameter information of a concrete prefabricated slab and connection parameters between the steel frame and the concrete prefabricated slab to form an initial parameter combination, and taking the initial parameter combination as a current parameter combination; wherein the first parameter information includes first geometric parameters and first material properties; the second parameter information includes second geometric parameters and second material properties;

[0007] Based on the first parameter information and the second parameter information in the current parameter combination, a geometric model corresponding to the steel frame and the concrete prefabricated slab is constructed, and the geometric model is subjected to finite element mesh division to obtain a divided target geometric model;

[0008] construct a finite element model corresponding to the bearing capacity of the steel frame structure and the concrete precast slab based on the first material attribute, the second material attribute and the connection parameter, and obtain corresponding static load response and dynamic load response by performing static load analysis and dynamic load analysis on the finite element model;

[0009] change the first parameter information, the second parameter information and the connection parameter in the current parameter combination to form a next parameter combination, take the next parameter combination as the current parameter combination, return to the step of constructing the geometric model corresponding to the steel frame structure and the concrete precast slab based on the first parameter information and the second parameter information in the current parameter combination, and iteratively regenerate the corresponding dynamic load response and static load response until a preset requirement is met, output the current parameter combination corresponding to each iteration process respectively, and the dynamic load response and the static load response corresponding to each current parameter combination, and select an optimal parameter combination from the current parameter combinations;

[0010] determine the stress distribution cloud diagram corresponding to the steel frame structure and the concrete precast slab based on the optimal parameter combination, and optimize the parameters of the stress concentration and the weak area according to the stress distribution cloud diagram.

[0011] According to another aspect of the present application, the embodiments of the present application further provide a numerical optimization device considering the bearing capacity of the steel frame structure and the concrete precast slab, which comprises:

[0012] a parameter acquisition module configured to collect first parameter information of a steel frame structure, second parameter information of a concrete precast slab and connection parameters between the steel frame structure and the concrete precast slab, form an initial parameter combination, and take the initial parameter combination as a current parameter combination; wherein the first parameter information comprises first geometric parameters and first material attributes; the second parameter information comprises second geometric parameters and second material attributes;

[0013] a geometric model construction module configured to construct a geometric model corresponding to the steel frame structure and the concrete precast slab based on the first parameter information and the second parameter information in the current parameter combination, and perform finite element mesh division on the geometric model to obtain a divided target geometric model;

[0014] an analysis module configured to construct a finite element model corresponding to the bearing capacity of the steel frame structure and the concrete precast slab based on the first material attribute, the second material attribute and the connection parameter for the target geometric model, and obtain corresponding static load response and dynamic load response by performing static load analysis and dynamic load analysis on the finite element model;

[0015] a parameter changing module, configured to change the first parameter information, the second parameter information and the connection parameter in the current parameter combination to form a next parameter combination, take the next parameter combination as the current parameter combination, and return to the step of constructing the geometric model corresponding to the steel frame and the concrete precast slab based on the first parameter information and the second parameter information in the current parameter combination, to iteratively regenerate the corresponding dynamic load response and the static load response until a preset requirement is met, output the current parameter combination corresponding to each iteration process respectively, and the dynamic load response and the static load response corresponding to each current parameter combination, and select an optimal parameter combination from the current parameter combinations.

[0016] a parameter optimization module, configured to determine the stress distribution cloud diagram corresponding to the steel frame and the concrete precast slab based on the optimal parameter combination, and perform parameter optimization on the stress concentration and the weak area according to the stress distribution cloud diagram.

[0017] According to another aspect of the present application, the embodiments of the present application further provide an electronic device, which comprises:

[0018] at least one processor; and

[0019] a memory connected with the at least one processor; wherein,

[0020] the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the numerical optimization method considering the load bearing capacity of the steel frame and the concrete precast slab according to any one of the embodiments of the present application.

[0021] According to another aspect of the present application, the embodiments of the present application further provide a computer readable storage medium, which stores computer instructions, and the computer instructions are used to enable a processor to implement the numerical optimization method considering the load bearing capacity of the steel frame and the concrete precast slab according to any one of the embodiments of the present application.

[0022] According to another aspect of the present application, the embodiments of the present application further provide a computer program product, which comprises a computer program, and the computer program is used to enable a processor to implement the numerical optimization method considering the load bearing capacity of the steel frame and the concrete precast slab according to any one of the embodiments of the present application.

[0023] The technical scheme of the embodiment of the present application is characterized in that: the first parameter information of the steel frame structure, the second parameter information of the concrete precast slab and the connection parameter between the two are collected, a geometric model is constructed based on the first parameter information and the second parameter information, finite element mesh division is performed on the geometric model, and the first material attribute, the second material attribute and the connection parameter are assigned to generate a finite element model, static load analysis and dynamic load analysis are performed on the finite element model to obtain a bearing capacity response, the first parameter information, the second parameter information and the connection parameter are continuously optimized, the influence of different parameters on the bearing capacity is analyzed, the optimal parameter combination is found, the stress distribution cloud map is determined based on the optimal parameter combination, and the stress concentration and the weak area are optimized in parameters, so that the accuracy of the steel frame-concrete precast slab model can be improved, the stress distribution cloud map of the stress concentration and the weak area can be identified and marked, the stress concentration and the weak area are optimized in parameters, and the maximum bearing capacity is realized.

[0024] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0026] Figure 1 A flow chart of a numerical optimization method considering the bearing capacity of a steel frame and a concrete precast slab is provided for an embodiment of the present application.

[0027] Figure 2 A flow chart of another numerical optimization method considering the bearing capacity of a steel frame and a concrete precast slab is provided for an embodiment of the present application.

[0028] Figure 3 A schematic diagram of a geometric model after mesh division is provided for an embodiment of the present application.

[0029] Figure 4 A schematic diagram of a stress distribution cloud map is provided for an embodiment of the present application.

[0030] Figure 5 A structural block diagram of a numerical optimization device considering the bearing capacity of a steel frame and a concrete precast slab is provided for an embodiment of the present application.

[0031] Figure 6A structural schematic diagram of an electronic device provided for implementing an embodiment of the present application. DETAILED DESCRIPTION

[0032] In order to enable persons skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by persons skilled in the art without creative work should fall within the protection scope of the present application.

[0033] It should be noted that the terms "first", "second", and the like in the specification and claims of the present application and the above-described drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or a chronological sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product, or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units that are not clearly listed or inherent to the process, method, product, or device.

[0034] In an embodiment, Figure 1 A flowchart of a numerical optimization method considering the load bearing capacity of a steel frame and a concrete prefabricated slab is provided for an embodiment of the present application. The embodiment can be applicable to the case of analyzing and optimizing parameters of the load bearing capacity of a steel frame and a concrete prefabricated slab. The method can be executed by a numerical optimization device considering the load bearing capacity of a steel frame and a concrete prefabricated slab, which can be realized in the form of hardware and / or software.

[0035] As Figure 1 shown, the method comprises:

[0036] S110, collect first parameter information of a steel frame, second parameter information of a concrete prefabricated slab, and connection parameters between the steel frame and the concrete prefabricated slab to form an initial parameter combination, and take the initial parameter combination as a current parameter combination; wherein the first parameter information comprises first geometric parameters and first material properties; the second parameter information comprises second geometric parameters and second material properties.

[0037] The first parameter information is parameter information of the steel frame structure, and the first parameter information includes first geometric parameters and first material properties. The first geometric parameters include lengths, widths and heights of steel beams and steel columns in the steel frame structure. The first material properties include elastic moduli, yield strengths and ultimate strengths of the steel beams and the steel columns in the steel frame structure. The second parameter information is parameter information of the prefabricated concrete slab, and the second parameter information includes second geometric parameters and second material properties. The second geometric parameters include a length, a width and a thickness of the prefabricated concrete slab. The second material properties include an elastic modulus and a Poisson's ratio of the concrete. The connection parameters include contact stiffness and friction coefficients between the steel frame structure and the prefabricated concrete slab.

[0038] In the embodiment, the initial parameter combination can also be referred to as an initial parameter set. In the first round of iteration, the initial parameter combination is used. In the second round of iteration, the current parameter combination is a next parameter combination corresponding to the initial parameter combination. In the third round of iteration, the current parameter combination is a further next parameter combination corresponding to the next parameter combination, and so on. Each round of parameter combination includes a geometric parameter set, a material property set and a connection parameter set. The geometric parameter set includes first geometric parameters and second geometric parameters. The material property set includes first material properties and second material properties. The connection parameter set includes connection parameters between the steel frame structure and the prefabricated concrete slab. The geometric parameter set is represented as: G0={L b0 , W b0 , H b0 , L c0 , W c0 , H c0 , L s0 , W s0 , H s0}, where G0 is the current geometric parameter set, L b0 is the length of the steel beam in the steel frame structure, W b0 is the width of the steel beam in the steel frame structure, H b0 is the height of the steel beam in the steel frame structure, L c0 is the length of the steel column in the steel frame structure, W c0 is the width of the steel column in the steel frame structure, H c0 is the height of the steel column in the steel frame structure, L s0 is the length of the prefabricated concrete slab, W s0 is the width of the prefabricated concrete slab, and H s0 is the thickness of the prefabricated concrete slab. The material property set is represented as: where M0 is the material property set, E steel，0 is the elastic modulus of the steel beams and the steel columns in the steel frame structure, is the yield strength of the steel beams and the steel columns in the steel frame structure, and ω steel，0E represents the ultimate strength of the steel beams and columns in the steel frame. concrete，0 v is the elastic modulus of the precast concrete slab. concrete，0 The Poisson's ratio of the precast concrete slab; the set of connection parameters is expressed as: C0 = {k contact，0 μ friction，0}, where C0 is the set of connection parameters, k contact，0 For contact stiffness, μ friction，0 is the coefficient of friction.

[0039] In this embodiment, the steel frame is a structure composed of steel beams and steel columns capable of withstanding vertical and horizontal loads. Geometric parameters, material properties, and connection parameters between the steel frame and the precast concrete slab are collected. The length, width, and height of the steel beams and columns in the steel frame, and the length, width, and thickness of the precast concrete slab are used to form a set of geometric parameters. The elastic modulus, yield strength, and ultimate strength of the steel beams and columns in the steel frame, and the elastic modulus and Poisson's ratio of the concrete are used to form a set of material properties. The contact stiffness and friction coefficient between the steel frame and the precast concrete slab are used to form a set of connection parameters.

[0040] S120. Based on the first and second parameter information in the current parameter combination, construct the geometric model corresponding to the steel structure and precast concrete slab, and perform finite element meshing on the geometric model to obtain the target geometric model after meshing.

[0041] The geometric model is the overall geometric model of the steel structure and precast concrete slabs. The target geometric model is the final geometric model obtained by meshing the geometric model according to certain requirements.

[0042] In this embodiment, the geometric models corresponding to the steel frame and the precast concrete slab can be constructed using the first geometric parameters and first material properties of the steel frame, and the second geometric parameters and second material properties of the precast concrete slab. This can be understood as using the first geometric parameters and first material properties of the steel frame, the second geometric parameters and second material properties of the precast concrete slab, and the connection parameters between the steel frame and the precast concrete slab as input quantities to construct the geometric models of the steel frame and the precast concrete slab respectively in finite element software. In this embodiment, after constructing the geometric models, the steel frame and the precast concrete slab in the geometric models can be meshed using finite element methods according to certain requirements to obtain the meshed target geometric model.

[0043] In some embodiments, the first geometric model of the steel frame can be formed by creating geometric bodies of the steel beams and the steel columns in the steel frame, combining the length, width and height of the steel beams and the steel columns in the steel frame according to the preset installation positions and the preset connection modes, and creating geometric bodies of the concrete prefabricated slabs, and forming the second geometric model according to the length, width and thickness of the concrete prefabricated slabs. On this basis, the first geometric model and the second geometric model are combined to obtain a geometric model after the combination. When the grid division of the geometric model is performed, the geometric bodies of the steel beams and the steel columns in the steel frame and the geometric bodies of the concrete prefabricated slabs have different architectures, geometric sizes, required grid accuracies and required grid sizes. Therefore, for the geometric bodies of the steel beams and the steel columns in the steel frame, corresponding grid division can be performed according to the geometric sizes, the required grid accuracies and the required grid sizes of the geometric bodies of the steel beams and the steel columns in the steel frame. For the concrete prefabricated slabs, different grid division granularities, grid division accuracies, etc. can be selected for grid division according to the possible stress concentration areas and stress weak areas in the concrete prefabricated slabs. This embodiment is not limited in this regard.

[0044] In S130, a finite element model corresponding to the bearing capacity of the steel structure and the concrete prefabricated slab is constructed based on the first material attribute, the second material attribute and the connection parameter for the target geometric model, and static load analysis and dynamic load analysis are performed on the finite element model to obtain corresponding static load responses and dynamic load responses.

[0045] The static load responses and the dynamic load responses can represent the bearing capacity of the constructed finite element model.

[0046] In this embodiment, for the target geometric model of the grid division, the finite element model corresponding to the bearing capacity of the steel structure and the concrete prefabricated slab can be constructed according to the first material attribute, the second material attribute and the connection parameter. Specifically, the collected elastic modulus, yield strength and ultimate strength of the steel material can be assigned to the beams and columns of the steel frame, the collected elastic modulus and Poisson's ratio of the concrete can be assigned to the concrete prefabricated slab, and the collected contact stiffness and friction coefficient can be assigned to the contact area of the steel frame and the concrete prefabricated slab to generate the finite element model. It should be noted that the finite element model is modeled according to the actual working conditions. In the actual working conditions, some special situations may occur, for example, one beam is fixed on both sides of a column. At this time, the column needs to be bound, and then the fixed point needs to be constrained. Therefore, after the finite element model is established, the nodes or boundaries that need to be constrained can be added in the finite element model according to the actual situation. On this basis, the static load analysis and the dynamic load analysis are performed on the finite element model to obtain the corresponding static load responses and the dynamic load responses.

[0047] In some embodiments, a vertical downward concentrated force can be applied to a center node of the concrete precast slab, a uniform distributed force can be applied to the top beam of the steel frame, a finite element analysis solver can be used in a finite element software to solve and obtain a static load response of the steel frame and the concrete precast slab under the static load, the static load response including stress, strain and displacement under the static load; an earthquake load can be applied to a bottom node of the steel frame to obtain the earthquake load received by the bottom node of the steel frame, a periodically changing wind load can be applied to a side of the steel frame to obtain the wind load received by the side of the steel frame, i.e. a dynamic load response of the steel frame and the concrete precast slab under the dynamic load including the earthquake load and the wind load received, so as to obtain the response under the dynamic load corresponding to the earthquake load and the wind load, the response under the dynamic load can include stress, strain and displacement under the dynamic load.

[0048] S140, change the first parameter information, the second parameter information and the connection parameter in the current parameter combination and form a next parameter combination, take the next parameter combination as the current parameter combination, return to the step of constructing the geometric model corresponding to the steel frame and the concrete precast slab based on the first parameter information and the second parameter information in the current parameter combination, to iteratively regenerate the dynamic load response and the static load response corresponding respectively, until a preset requirement is met, output the current parameter combination corresponding respectively in each iteration process, and the dynamic load response and the static load response corresponding to each current parameter combination, and select an optimal parameter combination from the current parameter combinations.

[0049] The next parameter combination can be understood as a next parameter combination obtained by modifying the first parameter information, the second parameter information and the connection parameter in the current parameter combination. The next parameter combination can include a next parameter combination corresponding to the first round current parameter combination, a next parameter combination corresponding to the second round current parameter combination, and so on, until a next parameter combination corresponding to the last round iteration current parameter combination.

[0050] In this embodiment, the steps of modifying the first parameter information, second parameter information, and connection parameters in the current parameter combination to form the next parameter combination, and returning the next parameter combination as the current parameter combination to construct the geometric model corresponding to the steel structure and precast concrete slab based on the first and second parameter information in the current parameter combination, are used to iteratively regenerate new dynamic load responses and new static load responses until preset requirements are met. This process yields each current parameter combination and its corresponding dynamic and static load responses, and determines the optimal parameter combination from multiple current parameter combinations. This can be understood as follows: in each iteration, the corresponding current parameter combination, along with its corresponding dynamic and static load responses, is output. Based on the dynamic and static load responses corresponding to each parameter combination, the parameter combination corresponding to the maximum response in the dynamic and static load responses is selected; this parameter combination is the optimal parameter combination. The preset requirements may include reaching a preset number of iterations. The optimal parameter combination includes the optimal set of geometric parameters, the optimal set of material properties, and the optimal set of connection parameters. This can be understood as allowing modification of the first parameter information, the second parameter information, and the connection parameters in the current parameter combination to analyze the bearing capacity under different parameter combinations and determine the optimal parameter combination.

[0051] In this embodiment, during each iteration, the geometric parameter set, material property set, and connection parameter set in the parameter combination are modified. The geometric parameter set includes a first geometric parameter and a second geometric parameter; the material property set includes a first material property and a second material property; and the connection parameter set includes the connection parameters between the steel frame and the precast concrete slab. By repeatedly modifying the geometric parameters and material properties of the steel beams and columns in the steel frame, the geometric parameters and material properties of the precast concrete slab, and the contact stiffness and friction coefficient between the steel frame and the precast concrete slab, the influence of different parameter combinations on the bearing capacity of the finite element model is analyzed to obtain the optimal combination of geometric parameters, material properties, and connection parameters.

[0052] S150. Determine the stress distribution cloud map corresponding to the steel frame and precast concrete slab based on the optimal parameter combination, and optimize the parameters of stress concentration and weak areas according to the stress distribution cloud map.

[0053] The stress distribution cloud map can include stress concentration areas and stress-weak areas.

[0054] In this embodiment, a stress distribution cloud map of the steel frame-precast concrete slab is output based on the optimal combination of geometric parameters, material properties, and connection parameters. Based on this stress distribution cloud map, stress concentration and weak areas are marked, and parameter optimization is performed on these areas. In some embodiments, the stress distribution of the steel frame-precast concrete slab under static and dynamic loads is calculated using a finite element analysis solver and the optimal parameter combination, and a stress distribution cloud map is generated. Stress concentration and weak areas are marked from the stress distribution cloud map, and parameter optimization is performed on both areas. Of course, other methods can also be used to determine the stress distribution cloud maps corresponding to the steel frame and precast concrete slab; this embodiment does not impose any limitations on this.

[0055] The technical solution described in this invention collects first parameter information of the steel frame, second parameter information of the precast concrete slab, and connection parameters between them. A geometric model is constructed based on the first and second parameter information. The geometric model is then meshed using finite element methods (FEMs), and first, second, and connection parameters are assigned to generate a finite element model. Static and dynamic load analyses are performed on the finite element model to obtain the bearing capacity response. By continuously optimizing the first, second, and connection parameters, the influence of different parameters on the bearing capacity is analyzed to find the optimal parameter combination. Based on the optimal parameter combination, a stress distribution cloud map is determined, thereby optimizing the parameters for stress concentration and weak areas. This improves the accuracy of the steel frame-precast concrete slab model, enables the identification and marking of stress distribution cloud maps for stress concentration and weak areas, and maximizes the bearing capacity by optimizing the parameters for these areas.

[0056] In one embodiment, Figure 2 This is a flowchart illustrating another numerical optimization method for considering the load-bearing capacity of a steel frame and precast concrete slab, provided by an embodiment of the present invention. Based on the aforementioned embodiments, this embodiment constructs a geometric model corresponding to the steel frame and precast concrete slab using first and second parameter information from the current parameter combination. The geometric model is then meshed using finite element methods to obtain the target geometric model. A finite element model corresponding to the load-bearing capacity of the steel frame and precast concrete slab is constructed based on first material properties, second material properties, and connection parameters. Static and dynamic load analyses are performed on the finite element model to obtain the corresponding static and dynamic load responses. The optimal parameter combination is selected from each current parameter combination. Based on the optimal parameter combination, a stress distribution cloud map corresponding to the steel frame and precast concrete slab is determined, and further refinement is performed on the stress concentration and weak areas based on the stress distribution cloud map.

[0057] like Figure 2As shown, the numerical optimization method considering the bearing capacity of the steel frame and precast concrete slab in this embodiment may specifically include the following steps:

[0058] S210. Collect the first parameter information of the steel structure, the second parameter information of the precast concrete slab, and the connection parameters between the steel structure and the precast concrete slab to form an initial parameter combination, and use the initial parameter combination as the current parameter combination; wherein, the first parameter information includes the first geometric parameter and the first material property; the second parameter information includes the second geometric parameter and the second material property.

[0059] S220. Create the geometry of the steel beams and columns in the steel frame using finite element software modeling tools. Combine the corresponding lengths, widths, and heights of the steel beams and columns in the steel frame according to the preset installation positions and preset connection methods to form the first geometric model of the steel frame.

[0060] In this embodiment, the finite element software modeling tool is a modeling tool within a finite element software, such as ANSYS or ABAQUS. The preset installation position and preset connection method represent the actual installation and connection methods of the steel beams and columns in the steel frame.

[0061] In this embodiment, a beam geometry is created using a finite element method software modeling tool, and its length L is input. b Width W b and height H b Create a column geometry and input its length L. c Width W c and height H c The steel beams and columns are combined according to the actual structural positions and connection methods to form a preliminary geometric model of the steel frame.

[0062] S230. Create the geometry of the precast concrete slab using finite element software modeling tools, and form a second geometric model based on the length, width and thickness of the precast concrete slab.

[0063] In this embodiment, the geometry of the precast concrete slab is created using the modeling tools of finite element software; the length L of the precast concrete slab is input. s Width W s and height H s Precast concrete slabs are placed on top of the steel frame to form a complete structural geometry model.

[0064] S240. Determine the complete geometric model of the steel structure and precast concrete slabs based on the second geometric model and the first geometric model.

[0065] In this embodiment, based on the second geometric model and the first geometric model, the complete geometric model of the steel frame and the precast concrete slab can be determined. Specifically, the precast concrete slab is placed on top of the steel frame to form a complete structural geometric model.

[0066] S250. For the geometry of steel beams and columns in a steel frame, divide the steel beams and columns into at least two grid units according to their respective geometric dimensions, preset grid accuracy, and preset grid size.

[0067] The geometric dimensions include those of the steel beams and the steel columns; for example, the steel beam is 3m. The preset mesh precision refers to the density of the mesh; a higher density indicates higher mesh precision, and vice versa. The preset mesh size refers to the mesh size to be created, which can be customized by the user based on experience or needs; this embodiment does not impose such limitations.

[0068] In this embodiment, for the geometry of steel beams and columns in the steel frame, the steel beams and columns are divided into at least two mesh elements according to their respective geometric dimensions, preset mesh precision, and preset mesh size. This can be understood as discretizing the continuous geometric model into finite element elements. For the geometry of the beams and columns in the steel frame, the mesh size is set according to the geometric dimensions and the desired computational precision, dividing each beam or column into several segments, for example, 10 segments.

[0069] S260. For precast concrete slabs, select the stress concentration area corresponding to the precast concrete slab, and divide the stress concentration area into a fine grid according to the preset grid size and preset grid density, while dividing other areas other than the stress concentration area into a coarse grid.

[0070] Among them, the stress concentration area is a possible stress concentration area selected by the user based on experience. Generally speaking, the most dangerous area of ​​a structure under stress, the place with the greatest load, is also the place with the most severe deformation.

[0071] In this embodiment, for precast concrete slabs, stress concentration areas corresponding to the precast concrete slabs are selected. Based on preset mesh sizes and densities, these stress concentration areas are divided into fine meshes, while other areas are divided into coarse meshes. This can be understood as follows: for precast concrete slabs, solid element meshes (such as tetrahedral or hexahedral elements) are used, and the mesh size is set, for example, dividing the precast slab into a 50*50*10 mesh. The mesh density (i.e., the size of the elements) is also set. Smaller mesh elements result in higher calculation accuracy, but also increase calculation time. Finer meshes are typically used in stress concentration areas (such as joints). The meshing tools of finite element software (such as ANSYS or ABAQUS) are used to mesh the geometric model.

[0072] S270. Use the meshed geometric model as the target geometric model.

[0073] In this embodiment, the geometric model after meshing is used as the target geometric model.

[0074] For example, to facilitate a better understanding of mesh generation of a geometric model, Figure 3 This is a schematic diagram of a geometric model after meshing, provided in an embodiment of the present invention.

[0075] S280. For the target geometric model, in response to the click operation of the first material property window in the finite element software, assign the elastic modulus, yield strength and ultimate strength of the steel beams and columns in the steel frame to the steel beams and columns.

[0076] In this embodiment, for the target geometric model, in response to the click operation of the first material property window in the finite element software, the elastic modulus, yield strength, and ultimate strength of the steel beams and columns in the steel frame are assigned to the steel beams and columns. This can be understood as selecting the beam and column parts of the steel frame in the finite element software by selecting the model tree in the window bar of the finite element software or by directly clicking on the geometry. In the material property window of the finite element software, the elastic modulus, yield strength, and ultimate strength of the steel are entered, and the above material properties are assigned to the selected steel frame beam and column parts.

[0077] S290. In response to a click operation in the second material properties window of the finite element software, assign the elastic modulus and Poisson's ratio of the precast concrete slab to the precast concrete slab.

[0078] In this embodiment, in response to a click operation in the second material property window of the finite element software, the elastic modulus and Poisson's ratio of the precast concrete slab are assigned to the precast concrete slab. This can be understood as inputting the elastic modulus and Poisson's ratio of the concrete in the material property window of the finite element software, and then assigning these material properties to the selected precast concrete slab portion.

[0079] S2100, in response to a click operation on the contact area between the steel frame and the precast concrete slab, assigns the contact stiffness and friction coefficient between the steel frame and the precast concrete slab to the contact area to generate a finite element model.

[0080] In this embodiment, in response to a click operation on the contact area between the steel frame and the precast concrete slab, the contact stiffness and friction coefficient between the steel frame and the precast concrete slab are assigned to the contact area to generate a finite element model. This can be understood as selecting the contact area between the steel frame and the precast concrete slab in the finite element software, inputting the aforementioned connection parameters in the contact property window of the finite element software, and assigning these parameters to the selected contact area to generate a finite element model.

[0081] It should be noted that, based on the actual working conditions, corresponding constraint nodes are added to the finite element model. The constraint conditions corresponding to the constraint nodes are expressed by the following formula: In the formula, u x =0 indicates that the displacement of the finite element model in the x-direction within the horizontal plane is restricted; u y =0 indicates that the displacement of the finite element model in the y-direction within the horizontal plane is restricted; u z =0 indicates that the displacement of the finite element model in the vertical z direction is restricted.

[0082] S2110. Calculate the static load response of the steel frame and precast concrete slab under static load using a finite element analysis solver; wherein the static load response includes stress, strain and displacement under static load; wherein applying the static load includes: applying a vertically downward concentrated force at the center node of the precast concrete slab and applying a uniformly distributed force on the top beam of the steel frame.

[0083] In this embodiment, a concentrated downward force is applied at the center node of the precast concrete slab, and a uniformly distributed force is applied to the top beam of the steel frame. The solution is obtained using finite element software to determine the response of the steel frame and the precast concrete slab under static load. The response includes stress, strain, and displacement (σ). ij ,∈ ij U i ); among them, (i=x, y, z), (j=x, y, z), σ xx σ yy σ zz The stresses are normal stresses, located in the x, y, and z directions respectively; σ xy σ yz σ zx Shear stress / cutting stress represents the tangential stress component in a specific plane; ∈ xx ,∈ yy , zzFor normal strain, in the x, y, and z directions respectively; ∈ xy ,∈ yz ,∈ zx U represents the shear strain, indicating the tangential strain component in a specific plane; x U y U z These represent the displacement components of the structure in the x, y, and z directions, respectively.

[0084] In one embodiment, the formula for calculating the static load response of the steel frame and precast concrete slab under static load using a finite element analysis solver is expressed as: {σ static ,∈ static U static}=FEM_Solver(G0,M0,C0,F static ), where σ static Static stress represents the stress distribution within a structure under static load. static Static strain represents the degree of deformation within a structure under static load. U static For static displacement, it represents the displacement distribution of the structure under static load. FEM_Solver is the finite element analysis solver used to calculate stress, strain, and displacement. static Static loads represent constant forces applied to a structure.

[0085] More specifically, FEM_Solver is an existing technology, and its core steps include: selecting geometric parameters, material properties, and connection parameters, and determining the static load F. static Dynamic load F dynamic (t); The steel frame-concrete precast slab is meshed into several elements and nodes; the stiffness matrix of each element is calculated based on the material properties and geometric parameters, using the following formula: K e =∫ V B T MBdV, where K e Let B be the element stiffness matrix, M be the derivative matrix of the shape function, M be the material property matrix, and V be the element volume. The stiffness matrices of all elements are assembled into a global stiffness matrix using the following formula: Where K is the global stiffness matrix, and e is the index of the stiffness matrix element. The number of stiffness matrix elements is given. The displacement vector is solved using the global stiffness matrix and the applied force vector, based on the following formula: K·U=F, where U is the displacement vector of the node and F is the external force vector. The strain of each element is calculated using the displacement vector, based on the following formula: ∈=BU, where ∈ is the strain of each element. The stress of each element is calculated using the displacement vector, based on the following formula: σ=M∈, where σ is the stress of the node. Based on the stress and strain of each element, the corresponding data will be obtained.

[0086] S2120. Calculate the dynamic load response of the steel frame and precast concrete slab under dynamic load using a finite element analysis solver; wherein the dynamic load response includes stress, strain and displacement under dynamic load; wherein the applied dynamic load includes: applying seismic load to the bottom node of the steel frame and applying periodically varying wind load to the side of the steel frame.

[0087] In this embodiment, the response of the steel frame and precast concrete slab under dynamic loads includes the seismic load and wind load. A seismic load is applied to the bottom node of the steel frame, and the seismic load on the bottom node of the steel frame is obtained. A periodically varying wind load is applied to the side of the steel frame, and the wind load on the side of the steel frame is obtained. The seismic load is expressed by the formula: D(t) = ζ·a(t); where D(t) is the seismic load on the bottom node of the steel frame at time t, ζ is the mass matrix, and a(t) is the acceleration value of the earthquake at time t. The wind load is expressed by the formula: F(t) = F0sin(ωt), where F(t) is the wind load on the side of the steel frame at time t, F0 is the amplitude of the wind load, ω is the angular frequency of the wind load, and t is time.

[0088] In one embodiment, the formula for calculating the dynamic load response of the steel frame and precast concrete slab under dynamic load using a finite element analysis solver is expressed as: {σ dynamic (t), ∈ dynamic (t), U dynamic (t)}=FEM_Solver[G0, M0, C0, F dynamic [(t)], where σ dynamic (t) represents the dynamic stress, indicating the stress distribution of the structure over time under dynamic loads, ∈ dynamic (t) represents the dynamic strain, indicating the degree of deformation of the structure over time under dynamic load. dynamic (t) represents the dynamic displacement, indicating the displacement distribution of the structure over time under dynamic load, F dynamic(t) represents the dynamic load, indicating the force that changes over time; FEM_Solver is the finite element analysis solver. The structure in this embodiment is the constructed finite element model.

[0089] S2130, Change the first parameter information, second parameter information, and connection parameters in the current parameter combination to form the next parameter combination, take the next parameter combination as the current parameter combination, return to the step of creating the geometry of the steel beams and columns in the steel frame through the finite element software modeling tool, combine the corresponding lengths, widths, and heights of the steel beams and columns in the steel frame according to the preset installation positions and preset connection methods to form the first geometric model of the steel frame, iteratively regenerate the corresponding dynamic load response and static load response until the preset requirements are met, output the current parameter combination corresponding to each iteration, as well as the dynamic load response and static load response corresponding to each current parameter combination, and select the optimal parameter combination from each current parameter combination.

[0090] The current parameter combinations are represented as: {G φ M γ C η}; where G φ Let M be the set of the φth geometric parameters. γ Let C be the set of the γth material properties. η Let η be the set of connection parameters, φ be the index of the set of geometric parameters, γ be the index of the set of material properties, η be the index of the set of connection parameters, φ = 1, 2, ..., R, R is the number of sets of geometric parameters, γ = 1, 2, ..., T, T is the number of sets of material properties, and η = 1, 2, ..., Q, Q is the number of sets of connection parameters. Each current parameter combination and its corresponding dynamic and static load responses are expressed as follows: Static load response is expressed as: in, To use the φ-th geometric parameter, the γ-th material property, and the η-th connection parameter, under static load F static The static stress calculated under the action, To use the φ-th geometric parameter, the γ-th material property, and the η-th connection parameter, under static load F static The calculated static strain under the action of [action] To use the φ-th geometric parameter, the γ-th material property, and the η-th connection parameter, under static load F static The static displacement is calculated under the action of the load; the dynamic load response is expressed as: in, To use the φ-th geometric parameter, the γ-th material property, and the η-th connection parameter under dynamic load F dynamic The dynamic stress that varies with time t under the action of [the agent / object]. To use the φ-th geometric parameter, the γ-th material property, and the η-th connection parameter under dynamic load F dynamic The dynamic strain that varies with time t under the action of the action. To use the φ-th geometric parameter, the γ-th material property, and the η-th connection parameter under dynamic load F dynamic The dynamic displacement that changes with time t under the action.

[0091] In one embodiment, the static load response and dynamic load response characterize the load-bearing capacity. By changing the first parameter information, the second parameter information, and the connection parameters in the current parameter combination to form the next parameter combination, and using the next parameter combination as the current parameter combination, the steps of returning to the current parameter combination are iteratively regenerated to generate the corresponding dynamic load response and static load response until the preset requirements are met. Each current parameter combination and its corresponding dynamic load response and static load response are output. The maximum response value is selected from each static load response and each dynamic load response as the maximum load-bearing capacity, and the optimal parameter combination corresponding to the maximum load-bearing capacity is determined.

[0092] In one embodiment, selecting the optimal parameter combination from each current parameter combination includes: for each current parameter combination corresponding to each iteration, and the dynamic load response and static load response corresponding to each current parameter combination, selecting the maximum response value from each static load response and each dynamic load response as the maximum bearing capacity; wherein, the maximum bearing capacity is expressed as: in, The maximum bearing capacity is the combination of the φ-th geometric parameter, the γ-th material property, and the η-th connection parameter. For a specific combination (φ,γ,η), under a given dynamic load F dynamic The maximum dynamic stress at all times t under the action of (t). To be under static stress and the maximum value in dynamic stress Select the maximum value as the maximum bearing capacity. Determine the optimal parameter combination corresponding to the maximum bearing capacity; whereby the optimal parameter combination is expressed as: Where (G*, M*, C*) represents the load-bearing capacity. The combination of the largest optimal set of geometric parameters, material properties, and connection parameters, where G* is the set of optimal geometric parameters, M* is the set of optimal material properties, C* is the combination of optimal connection parameters, and argmax is the parameter selected that leads to the maximum bearing capacity.

[0093] S2140. Calculate the stress distribution of the steel frame-concrete precast slab under static and dynamic loads based on the finite element analysis solver and optimal parameter combination, and generate stress distribution cloud maps.

[0094] In this embodiment, using the optimal combination of geometric parameters, material properties, and connection parameters (G*, M*, C*), the stress distribution of the steel frame-concrete precast slab under static and dynamic loads is calculated using a finite element analysis solver, and a stress distribution contour map is generated. The formula for calculating the stress distribution is expressed as: Static load: Dynamic loads:

[0095] in, The static stress distribution results are obtained after finite element analysis using the optimal parameter combination. The result shows the dynamic stress distribution obtained after finite element analysis using the optimal parameter combination.

[0096] S2150. Mark the stress concentration area and the stress weakness area from the stress distribution cloud map, and optimize the parameters of the stress concentration area and the stress weakness area respectively.

[0097] In this embodiment, stress concentration and weak areas are identified and marked by analyzing the stress distribution cloud map. These areas are characterized by stress values ​​that are significantly higher than those of the surrounding areas. For the identified stress concentration and weak areas, optimization is performed by adjusting geometric parameters, material properties, and connection parameters.

[0098] In one embodiment, parameter optimization is performed on stress concentration regions and stress-weak regions respectively, including: for stress concentration regions, increasing the beam width W. b and height H b Column width W c and height H c This increases the moment of inertia of the cross section, increases the bending stiffness of the beam, and reduces the stress per unit area, thereby reducing the bending deformation under external forces and reducing local stress concentration. This can be understood as increasing the beam width W. b and height H b Column width W c and height H c This increases the moment of inertia of the cross section, increases the bending stiffness of the beam, and reduces the stress per unit area, thereby reducing the bending deformation under external forces and reducing local stress concentration; increasing the contact stiffness k in areas with weak stress further reduces the stress concentration. contact To reduce relative slippage and deformation at the connection interface, improve the interface bearing capacity, and reduce local stress concentration, this can be understood as increasing the contact stiffness k. contact This reduces relative slippage and deformation at the connection interface, improves the interface's load-bearing capacity, and reduces local stress concentration.

[0099] For example, to facilitate a better understanding of the generated stress distribution cloud map, Figure 4 This is a schematic diagram of a stress distribution cloud map provided in an embodiment of the present invention. Figure 4 The blue areas in the diagram represent stress concentration areas, while the other areas are stress-weak areas.

[0100] The above-described technical solution in this embodiment constructs a complete geometric model of the steel frame and precast concrete slab using the current parameter combination. The geometric model is then meshed, and the elastic modulus, yield strength, and ultimate strength of the steel beams and columns in the steel frame are assigned to them. Similarly, the elastic modulus and Poisson's ratio of the precast concrete slab are assigned to it. The contact stiffness and friction coefficient between the steel frame and the precast concrete slab are assigned to the contact area to generate a finite element model. Based on this, a finite element analysis solver is used to calculate the static load response of the steel frame and precast concrete slab under static load, and the dynamic load response under dynamic load. Then, parameters are changed for optimization, and the influence of different parameters on the bearing capacity is analyzed to find the optimal parameter combination to maximize the bearing capacity. Based on the optimal parameter combination, stress concentration and weak areas are marked, further improving the accuracy of the steel frame-precast concrete slab model. This allows for the identification and marking of stress distribution cloud maps in stress concentration and weak areas, and parameter optimization for these areas.

[0101] In one embodiment, Figure 5 This is a structural block diagram of a numerical optimization device considering the bearing capacity of steel frames and precast concrete slabs, provided in an embodiment of the present invention. This device is suitable for analyzing and optimizing parameters related to the bearing capacity of steel frames and precast concrete slabs, and can be implemented in hardware or software. Figure 5 As shown, the device includes: a parameter acquisition module 510, a geometric model construction module 520, an analysis module 530, a parameter modification module 540, and a parameter optimization module 550.

[0102] The parameter acquisition module 510 is used to collect first parameter information of the steel structure, second parameter information of the precast concrete slab, and connection parameters between the steel structure and the precast concrete slab to form an initial parameter combination, and to use the initial parameter combination as the current parameter combination; wherein, the first parameter information includes a first geometric parameter and a first material property; the second parameter information includes a second geometric parameter and a second material property;

[0103] The geometric model construction module 520 is used to construct the geometric model corresponding to the steel structure and the precast concrete slab based on the first parameter information and the second parameter information in the current parameter combination, and to perform finite element meshing on the geometric model to obtain the target geometric model after meshing.

[0104] Analysis module 530 is used to construct a finite element model corresponding to the bearing capacity of the steel structure and the precast concrete slab based on the first material property, the second material property and the connection parameters for the target geometric model, and to perform static load analysis and dynamic load analysis on the finite element model to obtain the corresponding static load response and dynamic load response.

[0105] The parameter modification module 540 is used to change the first parameter information, the second parameter information, and the connection parameters in the current parameter combination to form the next parameter combination, take the next parameter combination as the current parameter combination, return the steps of constructing the geometric model corresponding to the steel structure and the precast concrete slab based on the first parameter information and the second parameter information in the current parameter combination, and iteratively regenerate the corresponding dynamic load response and static load response until the preset requirements are met. It outputs the current parameter combination corresponding to each iteration, as well as the dynamic load response and static load response corresponding to each current parameter combination, and selects the optimal parameter combination from each current parameter combination.

[0106] The parameter optimization module 550 is used to determine the stress distribution cloud map corresponding to the steel frame and the precast concrete slab based on the optimal parameter combination, and to optimize the parameters of stress concentration and weak areas according to the stress distribution cloud map.

[0107] In this embodiment, the geometric model construction module constructs a geometric model based on the first and second parameter information, performs finite element mesh generation on the geometric model, and assigns first material properties, second material properties, and connection parameters to generate a finite element model. The analysis module performs static and dynamic load analysis on the finite element model to obtain the bearing capacity response. The parameter modification module continuously optimizes the bearing capacity by changing the first, second, and connection parameters, analyzes the influence of different parameters on the bearing capacity, and finds the optimal parameter combination. The parameter optimization module determines the stress distribution cloud map based on the optimal parameter combination, thereby optimizing the parameters of stress concentration and weak areas. This improves the accuracy of the steel frame-concrete precast slab model, identifies and marks the stress distribution cloud map of stress concentration and weak areas, and optimizes the parameters of stress concentration and weak areas to maximize the bearing capacity.

[0108] In one embodiment, the first geometric parameters include: the length, width, and height of the steel beams and columns in the steel frame, respectively; the first material properties include: the elastic modulus, yield strength, and ultimate strength of the steel beams and columns in the steel frame; the second geometric parameters include: the length, width, and thickness of the precast concrete slab; the second material properties include: the elastic modulus and Poisson's ratio of the concrete; and the connection parameters include: the contact stiffness and friction coefficient between the steel frame and the precast concrete slab.

[0109] In one embodiment, the geometry model construction module 520 includes:

[0110] The first model building unit is used to create the geometry of the steel beams and columns in the steel frame using finite element software modeling tools. The unit combines the length, width and height of the steel beams and columns in the steel frame according to the preset installation position and preset connection method to form the first geometric model of the steel frame.

[0111] The second model building unit is used to create the geometry of the precast concrete slab using the finite element software modeling tool, and to form a second geometric model based on the length, width and thickness of the precast concrete slab.

[0112] The third model building unit is used to determine the complete geometric model of the steel structure and precast concrete slab based on the second geometric model and the first geometric model.

[0113] In one embodiment, the geometry model construction module 520 includes:

[0114] The first grid division unit is used to divide the steel beams and steel columns in the steel frame into at least two grid units based on the geometric dimensions of the steel beams and steel columns, the preset grid accuracy, and the preset grid size.

[0115] The second mesh division unit is used to select the stress concentration area corresponding to the precast concrete slab, and divide the stress concentration area into a fine mesh according to the preset mesh size and preset mesh density, while dividing other areas other than the stress concentration area into a coarse mesh.

[0116] The target model forming element is used to take the meshed geometric model as the target geometric model.

[0117] In one embodiment, the analysis module 530 includes:

[0118] The first assignment unit is used to respond to the click operation of the first material property window in the finite element software and assign the elastic modulus, yield strength and ultimate strength of the steel beams and steel columns in the steel frame to the steel beams and steel columns.

[0119] The second assignment unit is used to assign the elastic modulus and Poisson's ratio of the precast concrete slab to the precast concrete slab in response to the click operation of the second material property window in the finite element software.

[0120] The third assignment unit is used to respond to the click operation of the contact area between the steel frame and the precast concrete slab, and assign the contact stiffness and friction coefficient between the steel frame and the precast concrete slab to the contact area to generate a finite element model.

[0121] In this process, corresponding constraint nodes are added to the finite element model according to the actual working conditions. The constraint conditions corresponding to the constraint nodes are expressed by the following formula: In the formula, u x =0 indicates that the displacement of the finite element model in the x-direction within the horizontal plane is restricted; u y =0 indicates that the displacement of the finite element model in the y-direction within the horizontal plane is restricted; u z =0 indicates that the displacement of the finite element model in the vertical z direction is restricted.

[0122] In one embodiment, the current parameter set includes: a geometric parameter set, a material property set, and a connection parameter set; the geometric parameter set includes a first geometric parameter and a second geometric parameter; the material property set includes a first material property and a second material property; the connection parameter set includes connection parameters between the steel structure and the precast concrete slab.

[0123] The set of geometric parameters is represented as follows:

[0124] G0={L b0 W b0 H b0 L c0 W c0 H c0 L s0 W s0 H s0 In the formula, G0 is the set of geometric parameters, and L... b0 W is the length of the steel beam in the steel frame. b0 H represents the width of the steel beams in the steel frame. b0 L is the height of the steel beams in the steel frame. c0 W is the length of the steel column in the steel frame. c0 H is the width of the steel column in the steel frame. c0 L is the height of the steel column in the steel frame. s0 W is the length of the precast concrete slab. s0 H is the width of the precast concrete slab. s0 The thickness of the precast concrete slab;

[0125] The set of material properties is represented as follows: Where M0 is the set of material properties, E steel，0 Let be the elastic modulus of the steel beams and columns in the steel frame. ω represents the yield strength of the steel beams and columns in the steel frame. steel，0 E represents the ultimate strength of the steel beams and columns in the steel frame. concrete，0 v is the elastic modulus of the precast concrete slab. concrete，0 Poisson's ratio for precast concrete slabs;

[0126] The set of connection parameters is represented as: C0 = {k contact，0 μ friction，0}, where C0 is the set of connection parameters, k contact，0 For contact stiffness, μ friction，0 is the coefficient of friction.

[0127] In one embodiment, the analysis module 530 includes:

[0128] The static load response of the steel frame and precast concrete slab under static load is calculated using a finite element analysis solver; wherein the static load response includes stress, strain and displacement under static load; wherein the application of static load includes: applying a vertically downward concentrated force at the center node of the precast concrete slab and applying a uniformly distributed force on the top beam of the steel frame;

[0129] The dynamic load response of a steel frame and precast concrete slab under dynamic load is calculated using a finite element analysis solver. The dynamic load response includes stress, strain, and displacement under dynamic load. The applied dynamic load includes seismic load applied to the bottom nodes of the steel frame and periodically varying wind load applied to the sides of the steel frame.

[0130] The seismic load is expressed by the formula: D(t)=ζ·a(t); where D(t) is the seismic load on the bottom node of the steel frame at time t, ζ is the mass matrix, and a(t) is the acceleration value of the earthquake at time t; the wind load is expressed by the formula: F(t)=F0sin(ωt), where F(t) is the wind load on the side of the steel frame at time t, F0 is the amplitude of the wind load, ω is the angular frequency of the wind load, and t is time.

[0131] In one embodiment, the formula for calculating the static load response of the steel frame and precast concrete slab under static load using a finite element analysis solver is expressed as follows:

[0132] {σ static ,∈ static Ustatic}=FEM_Solver(G0,M0,C0,F static ), where σ static Static stress represents the stress distribution within a structure under static load. static Static strain represents the degree of deformation within a structure under static load. U static For static displacement, it represents the displacement distribution of the structure under static load. FEM_Solver is the finite element analysis solver used to calculate stress, strain, and displacement. static Static loads represent constant forces applied to the structure.

[0133] The formula for calculating the dynamic load response of the steel frame and precast concrete slab under dynamic load using the finite element analysis solver is as follows:

[0134] {σ dynamic (t), ∈ dynamic (t), U dynamic (t)}=FEM_Solver[G0, M0, C0, F dynamic [(t)], where σ dynamic (t) represents the dynamic stress, indicating the stress distribution of the structure over time under dynamic loads, ∈ dynamic (t) represents the dynamic strain, indicating the degree of deformation of the structure over time under dynamic load. dynamic (t) represents the dynamic displacement, indicating the displacement distribution of the structure over time under dynamic load, F dynamic (t) represents the dynamic load, indicating the force that changes over time; FEM_Solver is the finite element analysis solver.

[0135] In one embodiment, each of the current parameter combinations is represented as: {G φ M γ C η}; where G φ Let M be the set of the φth geometric parameters. γ Let C be the set of the γth material properties. η Let η be the set of the nth type of connection parameter, φ be the index of the set of geometric parameters, γ be the index of the set of material properties, η be the index of the set of connection parameters, φ = 1, 2, ..., R, R is the number of sets of geometric parameters, γ = 1, 2, ..., T, T is the number of sets of material properties, η = 1, 2, ..., Q, Q is the number of sets of connection parameters;

[0136] The current parameter combinations and their corresponding dynamic and static load responses are expressed as follows: The static load response is expressed as follows: in, To use the φ-th geometric parameter, the γ-th material property, and the η-th connection parameter, under static load F static The static stress calculated under the action, To use the φ-th geometric parameter, the γ-th material property, and the η-th connection parameter, under static load F static The calculated static strain under the action of [action] To use the φ-th geometric parameter, the γ-th material property, and the η-th connection parameter, under static load F static The calculated static displacement under the action;

[0137] The dynamic load response is expressed as:

[0138] in, To use the φ-th geometric parameter, the γ-th material property, and the η-th connection parameter under dynamic load F dynamic The dynamic stress that varies with time t under the action of [the agent / object]. To use the φ-th geometric parameter, the γ-th material property, and the η-th connection parameter under dynamic load F dynamic The dynamic strain that varies with time t under the action of the action. To use the φ-th geometric parameter, the γ-th material property, and the η-th connection parameter under dynamic load F dynamic The dynamic displacement that changes with time t under the action.

[0139] In one embodiment, the static load response and dynamic load response characterize the load-bearing capacity; correspondingly, the parameter changing module 540 includes:

[0140] The maximum bearing capacity determination unit is used to select the maximum response value from the static load response and the dynamic load response corresponding to each current parameter combination in each iteration as the maximum bearing capacity; wherein, the maximum bearing capacity is expressed as: in, The maximum bearing capacity is the combination of the φ-th geometric parameter, the γ-th material property, and the η-th connection parameter. For a specific combination (φ,γ,η), under a given dynamic load F dynamic The maximum dynamic stress at all times t under the action of (t). To be under static stress and the maximum value in dynamic stress Select the maximum value as the maximum bearing capacity.

[0141] An optimal parameter combination determination unit is used to determine the optimal parameter combination corresponding to the maximum bearing capacity; wherein, the optimal parameter combination is expressed as: Where (G*, M*, C*) represents the load-bearing capacity. The combination of the largest optimal set of geometric parameters, material properties, and connection parameters, where G* is the set of optimal geometric parameters, M* is the set of optimal material properties, C* is the combination of optimal connection parameters, and argmax is the parameter selected that leads to the maximum bearing capacity.

[0142] In one embodiment, the parameter optimization module 550 includes:

[0143] The stress distribution generation unit is used to calculate the stress distribution of the steel frame-concrete precast slab under static and dynamic loads based on the finite element analysis solver and the optimal parameter combination, and to generate a stress distribution cloud map; wherein, the calculation formula for the stress distribution is expressed as: Static load: Dynamic loads: in, The static stress distribution results are obtained after finite element analysis using the optimal parameter combination. The result of dynamic stress distribution obtained after finite element analysis using the optimal parameter combination;

[0144] An optimization unit is used to mark stress concentration areas and stress weakness areas from the stress distribution cloud map, and to optimize the parameters of the stress concentration areas and the stress weakness areas respectively.

[0145] The numerical optimization device considering the bearing capacity of steel frames and precast concrete slabs provided in the embodiments of the present invention can execute the numerical optimization method considering the bearing capacity of steel frames and precast concrete slabs provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method.

[0146] In one embodiment, Figure 6 This is a schematic diagram of an electronic device provided for implementing embodiments of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0147] like Figure 6As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0148] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0149] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as numerical optimization methods considering the load-bearing capacity of steel frames and precast concrete slabs.

[0150] In some embodiments, the numerical optimization method considering the load-bearing capacity of the steel frame and precast concrete slab can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the numerical optimization method considering the load-bearing capacity of the steel frame and precast concrete slab described above can be performed. Alternatively, in other embodiments, processor 11 can be configured by any other suitable means (e.g., by means of firmware) to perform the numerical optimization method considering the load-bearing capacity of the steel frame and precast concrete slab.

[0151] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0152] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0153] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0154] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0155] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0156] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through a communication network. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0157] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0158] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A numerical optimization method considering the load bearing capacity of a steel frame and a concrete precast slab, characterized in that, The application relates to a method for optimizing parameters of a steel frame and a concrete prefabricated slab. Collecting first parameter information of a steel frame, second parameter information of a concrete prefabricated slab and connection parameters between the steel frame and the concrete prefabricated slab to form an initial parameter combination, and taking the initial parameter combination as a current parameter combination; wherein the first parameter information comprises first geometric parameters and first material properties; the second parameter information comprises second geometric parameters and second material properties; Based on the first parameter information and the second parameter information in the current parameter combination, a geometric model corresponding to the steel frame and the concrete prefabricated slab is constructed, and finite element mesh division is performed on the geometric model to obtain a divided target geometric model; Based on the first material properties, the second material properties and the connection parameters, a finite element model corresponding to the bearing capacity of the steel frame and the concrete prefabricated slab is constructed for the target geometric model, static load analysis and dynamic load analysis are performed on the finite element model to obtain corresponding static load responses and dynamic load responses; The first parameter information, the second parameter information and the connection parameters in the current parameter combination are changed to form a next parameter combination, the next parameter combination is taken as the current parameter combination, and the step of constructing the geometric model corresponding to the steel frame and the concrete prefabricated slab based on the first parameter information and the second parameter information in the current parameter combination is returned, so that the corresponding dynamic load responses and static load responses are iteratively regenerated until a preset requirement is met, and the current parameter combinations corresponding to each iteration process are output, and the dynamic load responses and the static load responses corresponding to each current parameter combination are output, and an optimal parameter combination is selected from the current parameter combinations; Based on the optimal parameter combination, a stress distribution cloud diagram corresponding to the steel frame and the concrete prefabricated slab is determined, and parameter optimization is performed on stress concentration and weak areas according to the stress distribution cloud diagram.

2. The method of claim 1, wherein, The first geometric parameters comprise lengths, widths and heights corresponding to steel beams and steel columns in the steel frame; the first material properties comprise elastic moduli, yield strengths and ultimate strengths of the steel beams and the steel columns in the steel frame; the second geometric parameters comprise lengths, widths and thicknesses of the concrete prefabricated slab; the second material properties comprise elastic moduli and Poisson's ratios of the concrete; and the connection parameters comprise contact stiffness and friction coefficients between the steel frame and the concrete prefabricated slab.

3. The method of claim 1, wherein, The step of constructing the geometric model corresponding to the steel frame and the concrete prefabricated slab based on the first parameter information and the second parameter information in the current parameter combination comprises the following steps: Geometric bodies of the steel beams and the steel columns in the steel frame are created through a modeling tool of a finite element software, lengths, widths and heights corresponding to the steel beams and the steel columns in the steel frame are combined according to preset installation positions and preset connection modes to form a first geometric model of the steel frame; Geometric bodies of the concrete prefabricated slab are created through the modeling tool of the finite element software, and a second geometric model is formed according to lengths, widths and thicknesses of the concrete prefabricated slab; A complete geometric model of the steel frame and the concrete prefabricated slab is determined according to the second geometric model and the first geometric model.

4. The method of claim 1, wherein, The finite element meshing on the geometric model obtains a divided target geometric model, comprising: For the geometric bodies of the steel beams and the steel columns in the steel frame, the steel beams and the steel columns are divided into at least two grid units according to the corresponding geometric dimensions of the steel beams and the steel columns, a preset grid precision and a preset grid size; For the concrete prefabricated slab, a stress concentration area corresponding to the concrete prefabricated slab is selected, and the stress concentration area is subjected to fine grid division according to a preset grid size and a preset grid density, and other areas except the stress concentration area are subjected to coarse grid division; The geometric model subjected to the grid division is taken as a target geometric model.

5. The method of claim 1, wherein, The finite element model corresponding to the bearing capacity of the steel frame and the concrete prefabricated slab is constructed based on the first material attribute, the second material attribute and the connection parameter, comprising: In response to a click operation of a first material attribute window in the finite element software, the elastic modulus, the yield strength and the ultimate strength corresponding to the steel beams and the steel columns in the steel frame are assigned to the steel beams and the steel columns; In response to a click operation of a second material attribute window in the finite element software, the elastic modulus and the Poisson's ratio of the concrete prefabricated slab are assigned to the concrete prefabricated slab; In response to a click operation of a contact area between the steel frame and the concrete prefabricated slab, the contact stiffness and the friction coefficient between the steel frame and the concrete prefabricated slab are assigned to the contact area to generate the finite element model; Wherein, according to actual working condition, corresponding constraint node is added in the finite element model, and the constraint condition corresponding to the constraint node is expressed by formula as follows: , wherein, Is expressed as limiting the displacement of the finite element model in the x direction in the horizontal plane; Is expressed as limiting the displacement of the finite element model in the y direction in the horizontal plane; Is expressed as limiting the displacement of the finite element model in the vertical z direction.

6. The method of claim 1, wherein, The initial parameter combination includes a geometric parameter set, a material attribute set and a connection parameter set; the geometric parameter set includes a first geometric parameter and a second geometric parameter; the material attribute set includes a first material attribute and a second material attribute; and the connection parameter set includes a connection parameter between the steel frame and the concrete prefabricated slab; wherein the set of geometric parameters is represented as: wherein, is a set of geometric parameters, is a length of a steel beam in the steel frame, is a width of a steel beam in the steel frame, is a height of a steel beam in the steel frame, is a length of a steel column in the steel frame, is a width of a steel column in the steel frame, is a height of a steel column in the steel frame, is a length of a concrete precast slab, is a width of a concrete precast slab, is a thickness of a concrete precast slab; The set of material properties is represented as: wherein, is a set of material properties, is the elastic modulus of steel beams and steel columns in the steel frame, is the yield strength of steel beams and steel columns in the steel frame, is the ultimate strength of steel beams and steel columns in the steel frame, is the elastic modulus of the concrete precast slab, is the Poisson's ratio of the concrete precast slab; The set of connection parameters is denoted as: wherein, is a set of connection parameters, is a contact stiffness, is a friction coefficient.

7. The method of claim 6, wherein, The static load response and the dynamic load response corresponding to the finite element model are obtained through static load analysis and dynamic load analysis, comprising: The static load response of the steel frame and the concrete prefabricated slab under static load is calculated by using a finite element analysis solver when static load is applied; wherein the static load response includes stress, strain and displacement under static load; wherein the static load includes a concentrated force vertically downward applied to a center node of the concrete prefabricated slab and a uniform force applied to a top beam of the steel frame; The dynamic load response of the steel frame and the concrete prefabricated slab under dynamic load is calculated by using the finite element analysis solver when dynamic load is applied; wherein the dynamic load response includes stress, strain and displacement under dynamic load; wherein the dynamic load includes an earthquake load applied to a bottom node of the steel frame and a periodically changing wind load applied to a side surface of the steel frame; The seismic load is expressed by a formula as follows: ; wherein, is the seismic load received by the bottom node of the steel frame at the moment of , is a mass matrix, is the acceleration value of the earthquake at the moment of , The wind load is expressed by a formula as follows: ; wherein, is the wind load received by the side of the steel frame at the moment of , is the amplitude of the wind load, is the angular frequency of the wind load, is time.

8. The method of claim 7, wherein, The formula of the static load response of the steel frame and the concrete precast slab under the static load when the finite element analysis solver is used to calculate the applied static load is expressed as: wherein, is the static stress, representing the stress distribution inside the structure under the static load, is the static strain, representing the deformation degree inside the structure under the static load, is the static displacement, representing the displacement distribution of the structure under the static load, is the finite element analysis solver, used to calculate the stress, strain and displacement, is the static load, representing the constant force applied on the structure; The formula of the dynamic load response of the steel frame and the concrete precast slab under the dynamic load is calculated by the finite element analysis solver when the dynamic load is applied, and is expressed as: wherein, is a dynamic stress, representing the stress distribution of the structure changing with time under the dynamic load, is a dynamic strain, representing the deformation degree of the structure changing with time under the dynamic load, is a dynamic displacement, representing the displacement distribution of the structure changing with time under the dynamic load, is a dynamic load, representing the force changing with time; is a finite element analysis solver.

9. The method of claim 8, wherein, Each of the current parameter combinations is represented as: ; wherein is a set of geometric parameters, is a set of material properties, is a set of connection parameters, is an index of the set of geometric parameters, is an index of the set of material properties, is an index of the set of connection parameters, , is a number of the set of geometric parameters, , is a number of the set of material properties, , is a number of the set of connection parameters; The current parameter combinations and their corresponding dynamic and static load responses are expressed as follows: The static load response is expressed as follows: ,in, For use of the Geometric parameters, the first Material properties and the first Connection parameters, under static load The static stress calculated under the action, For use of the Geometric parameters, the first Material properties and the first Connection parameters, under static load The calculated static strain under the action of [action] For use of the Geometric parameters, the first Material properties and the first Connection parameters, under static load The calculated static displacement under the action; The dynamic load response is expressed as: ,in, For use of the Geometric parameters, the first Material properties and the first Various connection parameters, under dynamic loads Under the influence of time Changing dynamic stress, For use of the Geometric parameters, the first Material properties and the first Various connection parameters, under dynamic loads Under the influence of time Dynamic strain of change For use of the Geometric parameters, the first Material properties and the first Various connection parameters, under dynamic loads Under the influence of time The changing dynamic displacement.

10. The method of claim 9, wherein, The static load response and the dynamic load response represent the bearing capacity; Correspondingly, the optimal parameter combination is selected from the current parameter combinations, comprising: For each of the current parameter combinations respectively corresponding to each iteration process, and the dynamic load response and the static load response corresponding to each of the current parameter combinations, a maximum response value is selected from each of the static load responses and each of the dynamic load responses as a maximum bearing capacity; wherein the maximum bearing capacity is represented as: wherein, is the maximum bearing capacity for a combination of the i-th geometric parameter, the j-th material property and the k-th connection parameter, is the maximum dynamic stress in all times t for a specific combination of the i-th geometric parameter, the j-th material property and the k-th connection parameter, is the maximum value selected from the maximum value between the static stress and the dynamic stress as the maximum bearing capacity ;​​​​​​​​ determining an optimal parameter combination corresponding to the maximum bearing capacity; wherein the optimal parameter combination is represented as: wherein, such that the bearing capacity the combination of the optimal geometric parameter set, the material property set and the connection parameter set, is the set of optimal geometric parameters, is the set of optimal material properties, is the combination of optimal connection parameters, is the parameter selected to result in the maximum bearing capacity maximum.

11. The method of claim 10, wherein, The stress distribution nephogram corresponding to the steel frame and the concrete prefabricated slab is determined based on the optimal parameter combination, and the stress concentration and the weak area are optimized according to the stress distribution nephogram, comprising: The stress distribution of the steel frame-concrete prefabricated slab under static load and dynamic load is calculated according to a finite element analysis solver and the optimal parameter combination, and a stress distribution cloud map is generated; wherein the calculation formula of the stress distribution is expressed as: static load: , dynamic load: ; wherein, is the static stress distribution result obtained after the finite element analysis using the optimal parameter combination, is the dynamic stress distribution result obtained after the finite element analysis using the optimal parameter combination; Mark stress concentration areas and stress weak areas from the stress distribution nephogram, and perform parameter optimization on the stress concentration areas and the stress weak areas respectively.

12. A numerical optimization device for considering load bearing capacity of a steel frame and a concrete precast slab, characterized by, Comprise: The parameter acquisition module is used to collect first parameter information of a steel frame, second parameter information of a concrete prefabricated slab, and a connection parameter between the steel frame and the concrete prefabricated slab, to form an initial parameter combination, and to take the initial parameter combination as a current parameter combination; wherein the first parameter information comprises first geometric parameters and first material properties; the second parameter information comprises second geometric parameters and second material properties; The geometric model construction module is used to construct geometric models corresponding to the steel frame and the concrete prefabricated slab based on the first parameter information and the second parameter information in the current parameter combination, and to perform finite element mesh division on the geometric models to obtain a divided target geometric model; The analysis module is used to, for the target geometric model, construct a finite element model corresponding to the bearing capacity of the steel frame and the concrete prefabricated slab based on the first material properties, the second material properties, and the connection parameter, and to perform static load analysis and dynamic load analysis on the finite element model to obtain corresponding static load responses and dynamic load responses; The parameter change module is used to change the first parameter information, the second parameter information, and the connection parameter in the current parameter combination and form a next parameter combination, take the next parameter combination as the current parameter combination, return to the step of constructing geometric models corresponding to the steel frame and the concrete prefabricated slab based on the first parameter information and the second parameter information in the current parameter combination, to iteratively regenerate corresponding dynamic load responses and static load responses until a preset requirement is met, output the current parameter combinations respectively corresponding to each iteration process, and the dynamic load responses and static load responses corresponding to each current parameter combination, and select an optimal parameter combination from the current parameter combinations; The parameter optimization module is used to determine a stress distribution nephogram corresponding to the steel frame and the concrete prefabricated slab based on the optimal parameter combination, and to perform parameter optimization on stress concentration and weak areas according to the stress distribution nephogram.

13. An electronic device, comprising: The electronic device comprises: At least one processor; and The memory is in communication connection with the at least one processor; wherein The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the numerical optimization method considering the bearing capacity of the steel frame and the concrete prefabricated slab according to any one of claims 1-11.

14. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions, and the computer instructions are used to enable the processor to implement the numerical optimization method considering the bearing capacity of the steel frame and the concrete prefabricated slab according to any one of claims 1-11 when executed.

15. A computer program product, characterised in that, The computer program product comprises a computer program, and the computer program implements the numerical optimization method considering the bearing capacity of the steel frame and the concrete prefabricated slab according to any one of claims 1-11 when executed by the processor.

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