A design method, system and device for a rigid-flexible composite connected floor steel frame

Abstract

This invention provides a design method, system, and device for rigid-flexible composite connected floor slab steel frames, belonging to the field of steel frame design technology. The method mainly includes: constructing a finite element analysis model; using the minimum bottom shear force of the steel frame under a preset seismic wave as the objective function; using the maximum stress of the steel frame under a preset seismic wave as the fitness function; iteratively optimizing the structural parameters based on a genetic algorithm, combining the objective function and the fitness function, to obtain the optimal mass, stiffness, and damping coefficient of the floor slab; selecting and arranging the seismic isolation bearings and dampers; and constructing an overall structural calculation model. This solution can provide convenient, fast, and accurate structural design for rigid-flexible composite connected floor slab steel frames, significantly improving design efficiency, reducing the workload and error rate of designers, thereby shortening the project delivery time and improving project quality.

Description

Technical Field

[0001] This invention relates to the field of steel frame design technology, and in particular to a design method, system and device for a rigid-flexible composite connection floor steel frame. Background Technology

[0002] Unlike traditional rigid connections between steel frames and floor slabs using studs, rigid-flexible composite floor slabs achieve a rigid-flexible connection between the floor slab and the steel frame through supporting beams, seismic isolation bearings, and dampers. This allows the floor slab to function as a mass-tuned damper, while the relative displacement between the floor slab and the steel frame is absorbed and energy dissipated through the dampers. Since the mass, stiffness, and damping coefficient of a rigid-flexible composite floor slab directly affect its damping and energy dissipation effect, the structural design process often requires extensive manual iterative calculations to determine the optimal parameters. This process is not only labor-intensive but also prone to errors and cannot guarantee the optimal parameters.

[0003] Especially for rigid-flexible composite floor slab steel frames with damping beams, the design process becomes even more complicated. For example... Figure 1 As shown, the structure mainly includes a steel frame beam 1, a steel frame column 2, a supporting beam 3, a floor slab 4, seismic isolation bearings 5, and dampers 6. Several seismic isolation bearings 5 ​​and dampers 6 are arranged in combination between the steel frame beam 1 and the supporting beam 3 to play a role in damping vibration and energy dissipation. The steel frame beam 1, the supporting beam 3, the seismic isolation bearings 5, and the dampers 6 together form a damping beam, enabling the floor slab 4 and the steel frame to achieve a rigid-flexible composite connection. The design efficiency of this structure is reduced, which will seriously affect the project progress. Moreover, it is difficult to guarantee the highest vibration reduction efficiency by selecting seismic isolation bearings and dampers through traditional design methods. Summary of the Invention

[0004] The purpose of this invention is to provide a design method, system and device for rigid-flexible composite connected floor steel frame, so as to solve at least one of the above-mentioned technical problems existing in the prior art.

[0005] In a first aspect, to solve the above-mentioned technical problems, the present invention provides a design method for a rigid-flexible composite connected floor steel frame, comprising the following steps:

[0006] Step 1: Construct a finite element analysis model. Specific structural parameters include:

[0007] Steel frame (including steel frame beams and steel frame columns, etc.): Number of structural stories N The quality of each layer Stiffness and damping coefficient wait;

[0008] Floor slabs (including supporting beams, damping beams, floor slabs, etc.): Mass of each floor Stiffness and damping coefficient wait.

[0009] Preferably, in acceleration Under seismic loads, the steel frame structure The displacement of the layer is , No. The speed of the layer is , No. The acceleration of the layer is The displacement corresponding to the floor slab is The speed is acceleration is Based on this, the dynamic analysis model of the finite element analysis model includes:

[0010] Main structure:

[0011] ;

[0012] Floor slab:

[0013] ;

[0014] The two equations are combined into a system:

[0015] ;

[0016] Numerical integration methods such as the Newmark-β method, Wilson-θ method, or Duhamel's method can be used to solve this problem, yielding the desired result. and (i.e., the displacement of the center of mass of each layer); then, based on the displacement pattern of each layer (i.e., the kinematic relative displacement assumption of each element), the displacement of each element is calculated; assuming the element has If there are nodes, then the displacement vector of each node... Represented as:

[0017] ;

[0018] in, Indicates the first Nodes Displacement, Indicates the first Nodes Displacement, Indicates the first Each node Displacement;

[0019] Will Multiply by the strain-displacement matrix of the current element to obtain the strain at each node. The specific calculation formula includes:

[0020] ;

[0021] in, Represents the shape function that matches each node with the element type. For spatial coordinates ( , , The strain-displacement matrix assembled after taking partial derivatives:

[0022] ;

[0023] Specifically, It is a column vector containing six components:

[0024] ;

[0025] in, express Toward strain components; express Toward strain components; express Toward strain components; express Toward strain components; express Toward strain components; express Toward strain components;

[0026] Calculate the stress at the current node based on the constitutive relation of the material. The specific expressions include:

[0027] ;

[0028] Where D is the constitutive matrix of the material:

[0029] ;

[0030] in, This represents the first Lamé constant, and its specific expression includes: , Indicates the elastic modulus of a material. Indicates Poisson's ratio; The second Lamé constant is represented by the following expression: ;

[0031] based on Calculate the shear stress Then, with the shear area Multiplying these yields the column base shear force, the specific expression of which includes:

[0032] ;

[0033] in, Indicates the first layer of the steel frame Shear force at the base of each frame column.

[0034] Step 2: Measure the bottom shear force of the steel frame under the action of a preset seismic wave. The minimum value is taken as the objective function, and the specific formula includes:

[0035] ;

[0036] in, Indicates the number of frame columns on the first floor of the steel frame;

[0037] Step 3: Measure the maximum stress of the steel frame under a preset seismic wave. As a fitness function, it is used to evaluate the quality of candidate solutions in subsequent steps; the design conditions include: the maximum stress is not greater than the design value of the tensile strength of the steel.

[0038] Step 4: Based on the Genetic Algorithm (GA, a search and optimization algorithm based on natural selection and genetic mechanisms), combined with the objective function and fitness function, the structural parameters are iteratively optimized to obtain the optimal mass, stiffness and damping coefficient of the floor slab.

[0039] Step 5: Based on the optimal mass, stiffness, and damping coefficient of the floor slab, install seismic isolation bearings;

[0040] Step 6: Construct the overall structural calculation model.

[0041] By using the above method and genetic algorithm, the structural parameters are automatically iteratively optimized, thereby obtaining the optimal parameters conveniently and reliably, which improves the structural design efficiency and effectiveness of rigid-flexible composite floor steel frame.

[0042] In one feasible implementation, the design method of the rigid-flexible composite connected floor steel frame further includes step 7, which involves inputting the design requirement parameters into the overall structural calculation model and outputting the overall design result of the rigid-flexible composite connected floor steel frame.

[0043] In one feasible implementation, step 4 specifically includes:

[0044] Step 41: Set the population size and basic parameters of the genetic algorithm, including the maximum number of generations. Choice probability Crossover probability and mutation probability Generate an initial population, where each individual represents a design scheme. Define design variables for each individual, including the mass, stiffness, and damping coefficient of the floor slab. Assign initial values ​​to the mass, stiffness, and damping coefficient respectively. , and The generation number g is assigned the value 1;

[0045] Step 42: Perform structural analysis in the finite element analysis model and calculate the base shear force for each individual in the current population. and maximum stress ;

[0046] Step 43: First, based on the objective function, find... The individual corresponding to the minimum value is then evaluated based on the fitness function. Does the design condition meet? If yes, proceed to step 44; otherwise, continue to step 43.

[0047] Step 44: Determine if the termination criterion is met: if yes, proceed to step 46; if no, proceed to step 45.

[0048] Step 45: Increment the generation number g by 1; through selection, crossover, and mutation operations, perform sub-operations on the current population to obtain the design variable values ​​for the next generation: , and Iterative execution step 42;

[0049] Step 46: Output the current design variable values ​​to obtain the optimal mass, stiffness, and damping coefficients of the floor slab.

[0050] By combining finite element analysis with genetic algorithms and iteratively performing a two-layer screening of the objective function and fitness function, the optimal key design parameters such as mass, stiffness, and damping coefficient of the floor slab can be obtained quickly and effectively, laying a solid foundation for subsequent design.

[0051] In one feasible implementation, the termination criterion is reaching the maximum number of generations. Or the objective function value reaches a preset threshold.

[0052] In one feasible implementation, the selection operation in step 45 includes: sorting individuals by maximum stress value from smallest to largest according to the fitness function, and selecting individuals with a preset order for reproduction, thereby enhancing the diversity of the population and facilitating the subsequent acquisition of the global optimal solution.

[0053] In one feasible implementation, the crossover operation in step 45 includes: randomly cross-combining several design variable values ​​of two individuals to generate new individuals for reproduction, thereby enhancing the diversity of the population and facilitating the subsequent acquisition of the global optimal solution.

[0054] In one feasible implementation, the mutation operation in step 45 includes: randomly mutating several design variable values ​​of several individuals to generate new individuals for reproduction, thereby enhancing the diversity of the population and facilitating the subsequent acquisition of the global optimal solution.

[0055] In one feasible implementation, step 5 specifically includes:

[0056] Step 51: Change the thickness or density of the floor slabs in the floor system until the optimal quality of the floor system is achieved;

[0057] Step 52: For the floor slabs in the preset areas of the floor system, evenly distribute... Each seismic isolation bearing is used to adjust the mass ratio of the floor slab; the specific calculation formula includes:

[0058] ;

[0059] in, Indicates the first The optimal stiffness of a multi-story building; Indicates the first The stiffness of a seismic isolation bearing can be adjusted by adjusting its diameter and height.

[0060] Step 53: Calculate the damping coefficient of the seismic isolation bearing. The specific formula includes:

[0061] ;

[0062] in, Indicates the first The optimal damping coefficient for a floor slab; Indicates the first Damping coefficient of each seismic isolation bearing;

[0063] Step 54, As the optimization objective, a damping coefficient optimization strategy is implemented.

[0064] Preferably, the damping coefficient optimization strategy includes: adjusting the rubber material of the seismic isolation bearing, or setting a lead core in the seismic isolation bearing, or setting a damper that matches the seismic isolation bearing.

[0065] Secondly, based on the same inventive concept, this application also provides a design system for a rigid-flexible composite connected floor steel frame, including a data receiving module, a data processing module and a result generation module;

[0066] The data receiving module is used to receive structural parameters including:

[0067] Steel frame: Number of structural stories; mass, stiffness, and damping coefficient of each story;

[0068] Floor slabs: mass, stiffness, and damping coefficient of each floor;

[0069] The data processing module includes a finite element analysis unit, a first design unit, a second design unit, and a structural calculation model unit;

[0070] The finite element analysis unit constructs a finite element analysis model based on the structural parameters;

[0071] The bottom shear force of the steel frame under the action of a preset seismic wave The minimum value is taken as the objective function, and the specific formula includes:

[0072] ;

[0073] in, Indicates the first layer of the steel frame Shear force at the base of each frame column; Indicates the number of frame columns on the first floor of the steel frame;

[0074] The maximum stress of the steel frame under the action of a preset seismic wave is used as the fitness function for subsequent evaluation of the quality of candidate solutions; the design conditions include: the maximum stress is not greater than the design value of the tensile strength of the steel.

[0075] The first design unit, based on a genetic algorithm and combining an objective function and a fitness function, iteratively optimizes the structural parameters to obtain the optimal mass, stiffness, and damping coefficients of the floor slab, which serve as the first design result.

[0076] The second design unit, based on the first design result, arranges seismic isolation bearings to obtain the second design result;

[0077] The structural calculation model unit constructs an overall structural calculation model based on the first design result and the second design result;

[0078] The result generation module is used to externalize the overall structural calculation model.

[0079] Thirdly, based on the same inventive concept, this application also provides a design device for a rigid-flexible composite connected floor steel frame, including a processor, a memory, and a bus. The memory stores instructions and data read by the processor, and the processor is used to call the instructions and data in the memory to execute the design method of the rigid-flexible composite connected floor steel frame as described above. The bus connects the various functional components for transmitting information.

[0080] By adopting the above technical solution, the present invention has the following beneficial effects:

[0081] The present invention provides a design method, system and device for a rigid-flexible composite floor slab steel frame, which can facilitate convenient, fast and accurate structural design for rigid-flexible composite floor slabs with damping beams, greatly improve design efficiency, reduce the workload and error rate of designers, thereby shortening the project delivery time and improving the project quality. Attached Figure Description

[0082] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0083] Figure 1 The following is a simplified diagram of a rigid-flexible composite floor slab structure with damping beams in the background art.

[0084] Figure 2 A flowchart illustrating a design method for a rigid-flexible composite connected floor steel frame, as provided in an embodiment of the present invention.

[0085] Figure 3 for Figure 2 The detailed flowchart for step 4;

[0086] Figure 4 A design system diagram of a rigid-flexible composite connection floor steel frame provided in an embodiment of the present invention;

[0087] Figure label:

[0088] 1-Steel frame beam; 2-Steel frame column; 3-Supporting beam; 4-Floor slab; 5-Seismic isolation bearing; 6-Damper. Detailed Implementation

[0089] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0090] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0091] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0092] The present invention will be further explained below with reference to specific embodiments.

[0093] It should also be noted that the specific embodiments or implementation methods described below are a series of optimized settings listed by the present invention to further explain the specific content of the invention, and these settings can be combined or used in conjunction with each other.

[0094] Example 1:

[0095] like Figure 2 As shown in the figure, this embodiment provides a design method for a rigid-flexible composite connection floor slab steel frame, including the following steps:

[0096] Step 1: Construct a finite element analysis model using ABAQUS finite element analysis software. Specific structural parameters include:

[0097] Steel frame: Number of structural stories; mass, stiffness, and damping coefficient of each story;

[0098] Floor slabs: mass, stiffness, and damping coefficient of each floor;

[0099] Acceleration Under seismic loads, the steel frame structure The displacement of the layer is , No. The speed of the layer is , No. The acceleration of the layer is The displacement corresponding to the floor slab is The speed is acceleration is Based on this, the dynamic analysis model of the finite element analysis model includes:

[0100] Main structure:

[0101] ;

[0102] Floor slab:

[0103] ;

[0104] The two equations are combined into a system:

[0105] ;

[0106] Numerical integration methods such as the Newmark-β method, Wilson-θ method, or Duhamel's method can be used to solve this problem, yielding the desired result. and (i.e., the displacement of the center of mass of each layer); then, based on the displacement pattern of each layer (i.e., the kinematic relative displacement assumption of each element), the displacement of each element is calculated; assuming the element has If there are nodes, then the displacement vector of each node... Represented as:

[0107] ;

[0108] in, Indicates the first Each node Displacement, Indicates the first Each node Displacement, Indicates the first Each node Displacement;

[0109] Will Multiply by the strain-displacement matrix of the current element to obtain the strain at each node. The specific calculation formula includes:

[0110] ;

[0111] in, Represents the shape function that matches each node with the element type. For spatial coordinates ( , , The strain-displacement matrix assembled after taking partial derivatives:

[0112] ;

[0113] Specifically, It is a column vector containing six components:

[0114] ;

[0115] in, express Toward strain components; express Toward strain components; express Toward strain components; express Toward strain components; express Toward strain components; express Toward strain components;

[0116] Calculate the stress at the current node based on the constitutive relation of the material. The specific expressions include:

[0117] ;

[0118] Where D is the constitutive matrix of the material:

[0119] ;

[0120] in, This represents the first Lamé constant, and its specific expression includes: , Indicates the elastic modulus of a material. Indicates Poisson's ratio; The second Lamé constant is represented by the following expression: ;

[0121] based on Calculate the shear stress Then, with the shear area Multiplying these yields the column base shear force, the specific expression of which includes:

[0122] ;

[0123] in, Indicates the first layer of the steel frame Shear force at the base of each frame column;

[0124] Step 2: Measure the bottom shear force of the steel frame under the action of a preset seismic wave. The minimum value is taken as the objective function, and the specific formula includes:

[0125] ;

[0126] in, Indicates the number of frame columns on the first floor of the steel frame;

[0127] Step 3: Measure the maximum stress of the steel frame under a preset seismic wave. As a fitness function, it is used to evaluate the quality of candidate solutions in subsequent steps; the design conditions include: the maximum stress is not greater than the design value of the tensile strength of the steel.

[0128] Step 4: Using the MATLAB platform, based on the genetic algorithm, and combining the objective function and fitness function, the structural parameters are iteratively optimized to obtain the optimal mass, stiffness and damping coefficients of the floor slab.

[0129] Step 5: Based on the optimal mass, stiffness, and damping coefficient of the floor slab, install seismic isolation bearings;

[0130] Step 6: Construct the overall structural calculation model.

[0131] Using the above methods, genetic algorithms can be used to automatically iterate and optimize structural parameters, thereby obtaining the optimal parameters conveniently and reliably, which improves the structural design efficiency and effectiveness of rigid-flexible composite floor steel frames.

[0132] Furthermore, the design method of the rigid-flexible composite connected floor steel frame also includes step 7, which involves inputting the design requirement parameters into the overall structural calculation model and outputting the overall design result of the rigid-flexible composite connected floor steel frame.

[0133] Furthermore, such as Figure 3 As shown, step 4 specifically includes:

[0134] Step 41: Set the population size and basic parameters of the genetic algorithm, including the maximum number of generations. Choice probability Crossover probability and mutation probability Generate an initial population, where each individual represents a design scheme. Define design variables for each individual, including the mass, stiffness, and damping coefficient of the floor slab. Assign initial values ​​to the mass, stiffness, and damping coefficient respectively. , and The generation number g is assigned the value 1;

[0135] Step 42: Perform structural analysis in the finite element analysis model and calculate the base shear force for each individual in the current population. and maximum stress ;

[0136] Step 43: First, based on the objective function, find... The individual corresponding to the minimum value is then evaluated based on the fitness function. Does the design condition meet? If yes, proceed to step 44; otherwise, continue to step 43.

[0137] Step 44: Determine if the termination criterion is met: if yes, proceed to step 46; if no, proceed to step 45.

[0138] Step 45: Increment the generation number g by 1; through selection, crossover, and mutation operations, perform sub-operations on the current population to obtain the design variable values ​​for the next generation: , and Iterative execution step 42;

[0139] Step 46: Output the current design variable values ​​to obtain the optimal mass, stiffness, and damping coefficients of the floor slab.

[0140] By combining finite element analysis with genetic algorithms and iteratively performing a two-layer screening of the objective function and fitness function, the optimal key design parameters such as mass, stiffness, and damping coefficient of rigid-flexible composite floor slabs can be obtained quickly and effectively, laying a solid foundation for subsequent design.

[0141] Furthermore, the termination criterion is reaching the maximum number of generations. Or the objective function value reaches a preset threshold.

[0142] Furthermore, the selection operation in step 45 includes: sorting individuals by maximum stress value from smallest to largest according to the fitness function, and selecting individuals with a preset order for reproduction, thereby enhancing the diversity of the population and facilitating the subsequent acquisition of the global optimal solution.

[0143] Furthermore, the crossover operation in step 45 includes: randomly cross-combining several design variable values ​​of two individuals to generate new individuals for reproduction, thereby enhancing the diversity of the population and facilitating the subsequent acquisition of the global optimal solution.

[0144] Furthermore, the mutation operation in step 45 includes: randomly mutating several design variable values ​​of several individuals to generate new individuals for reproduction, thereby enhancing the diversity of the population and facilitating the subsequent acquisition of the global optimal solution.

[0145] Furthermore, step 5 specifically includes:

[0146] Step 51: Change the thickness or density of the floor slab in the floor system (for example, use high-density cement, finely ground iron ore to increase the concrete density, or use lightweight aggregate to reduce the concrete density) until the optimal quality of the floor system is achieved.

[0147] Step 52: For the floor slabs in the pre-defined areas of the floor system (such as rooms with low architectural function requirements, such as utility rooms, storage rooms, or toilets), evenly distribute the floor slabs. Each seismic isolation bearing is used to adjust the mass ratio of the floor slab; the specific calculation formula includes:

[0148] ;

[0149] in, Indicates the first The optimal stiffness of a multi-story building; Indicates the first The stiffness of a seismic isolation bearing can be adjusted by adjusting its diameter and height.

[0150] Step 53: Calculate the damping coefficient of the seismic isolation bearing. The specific formula includes:

[0151] ;

[0152] in, Indicates the first The optimal damping coefficient for a floor slab; Indicates the first Damping coefficient of each seismic isolation bearing;

[0153] Step 54, As the optimization objective, a damping coefficient optimization strategy is implemented.

[0154] Preferably, the damping coefficient optimization strategy includes: adjusting the rubber material of the seismic isolation bearing, or setting a lead core in the seismic isolation bearing, or setting a damper that matches the seismic isolation bearing.

[0155] Example 2:

[0156] like Figure 4 As shown, this embodiment provides a design system for a rigid-flexible composite floor slab frame, including a data receiving module, a data processing module, and a result generation module;

[0157] The data receiving module is used to receive structural parameters including:

[0158] Steel frame: Number of structural stories; mass, stiffness, and damping coefficient of each story;

[0159] Floor slabs: mass, stiffness, and damping coefficient of each floor;

[0160] The data processing module includes a finite element analysis unit, a first design unit, a second design unit, and a structural calculation model unit;

[0161] The finite element analysis unit constructs a finite element analysis model based on the structural parameters;

[0162] The bottom shear force of the steel frame under the action of a preset seismic wave The minimum value is taken as the objective function, and the specific formula includes:

[0163] ;

[0164] in, Indicates the first layer of the steel frame Shear force at the base of each frame column; Indicates the number of frame columns on the first floor of the steel frame;

[0165] The maximum stress of the steel frame under the action of a preset seismic wave is used as the fitness function for subsequent evaluation of the quality of candidate solutions; the design conditions include: the maximum stress is not greater than the design value of the tensile strength of the steel.

[0166] The first design unit, based on a genetic algorithm and combining an objective function and a fitness function, iteratively optimizes the structural parameters to obtain the optimal mass, stiffness, and damping coefficients of the floor slab, which serve as the first design result.

[0167] The second design unit, based on the first design result, arranges seismic isolation bearings to obtain the second design result;

[0168] The structural calculation model unit constructs an overall structural calculation model based on the first design result and the second design result;

[0169] The result generation module is used to externalize the overall structural calculation model.

[0170] Example 3:

[0171] This embodiment provides a design device for a rigid-flexible composite connected floor slab steel frame, including a processor, a memory, and a bus. The memory stores instructions and data read by the processor, and the processor is used to call the instructions and data in the memory to execute the design method of the rigid-flexible composite connected floor slab steel frame as described above. The bus connects the various functional components for transmitting information.

[0172] In another implementation, this solution can be achieved through an integrated device, which may include corresponding modules that perform one or more steps in the various embodiments described above. A module may be one or more hardware modules specifically configured to perform the corresponding step, or implemented by a processor configured to perform the corresponding step, or stored in a computer-readable medium for implementation by a processor, or implemented through some combination thereof.

[0173] The processor executes the various methods and processes described above. For example, the method implementations in this scheme can be implemented as software programs tangibly contained in a machine-readable medium, such as memory. In some implementations, part or all of the software program can be loaded and / or installed via memory and / or a communication interface. When the software program is loaded into memory and executed by the processor, one or more steps of the methods described above can be performed. Alternatively, in other implementations, the processor can be configured to execute one of the methods described above by any other suitable means (e.g., by means of firmware).

[0174] This device can be implemented using a bus architecture. A bus architecture can include any number of interconnect buses and bridges, depending on the specific application of the hardware and overall design constraints. The bus connects various circuits, including one or more processors, memory, and / or hardware modules. The bus can also connect various other circuits such as peripherals, voltage regulators, power management circuitry, external antennas, etc.

[0175] Buses can be Industry Standard Architecture (ISA) buses, Peripheral Component Interconnect (PCI) buses, or Extended Industry Standard Component (EISA) buses, etc. Buses can be divided into address buses, data buses, control buses, etc.

[0176] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A design method for a rigid-flexible composite connection floor steel frame, characterized in that, include: Step 1: Construct a finite element analysis model. Specific structural parameters include: Steel frame: Number of structural stories; mass, stiffness, and damping coefficient of each story; Floor slabs: mass, stiffness, and damping coefficient of each floor; Step 2: Measure the bottom shear force of the steel frame under the action of a preset seismic wave. The minimum value is taken as the objective function, and the specific formula includes: ； in, Indicates the first layer of the steel frame Shear force at the base of each frame column; Indicates the number of frame columns on the first floor of the steel frame; Step 3: Use the maximum stress of the steel frame under the preset seismic wave as the fitness function for subsequent evaluation of the quality of candidate solutions; the design conditions include: the maximum stress is not greater than the design value of the tensile strength of the steel. Step 4: Based on the genetic algorithm, combined with the objective function and fitness function, the structural parameters are iteratively optimized to obtain the optimal mass, stiffness and damping coefficients of the floor slab. Step 5: Based on the optimal mass, stiffness, and damping coefficient of the floor slab, install seismic isolation bearings; specifically including: Step 51: Change the thickness or density of the floor slabs in the floor system until the optimal quality of the floor system is achieved; Step 52: For the floor slabs in the preset areas of the floor system, evenly distribute... Each seismic isolation bearing is used to adjust the mass ratio of the floor slab; the specific calculation formula includes: ； in, Indicates the first The optimal stiffness of a multi-story building; Indicates the first The stiffness of each seismic isolation bearing can be adjusted by adjusting its diameter and height. Step 53: Calculate the damping coefficient of the seismic isolation bearing. The specific formula includes: ； in, Indicates the first The optimal damping coefficient for a floor slab; Indicates the first Damping coefficient of each seismic isolation bearing; Step 54, As the optimization objective, a damping coefficient optimization strategy is implemented. The damping coefficient optimization strategy includes: adjusting the rubber material of the seismic isolation bearing, or setting a lead core in the seismic isolation bearing, or setting a damper that matches the seismic isolation bearing. Step 6: Construct the overall structural calculation model.

2. The design method according to claim 1, characterized in that, Step 4 specifically includes: Step 41: Set the population size and basic parameters of the genetic algorithm, including the maximum number of generations. Choice probability Crossover probability and mutation probability Generate an initial population, where each individual represents a design scheme. Define design variables for each individual, including the mass, stiffness, and damping coefficient of the floor slab. Assign initial values ​​to the mass, stiffness, and damping coefficient respectively. , and The generation number g is assigned the value 1; Step 42: Perform structural analysis in the finite element analysis model and calculate the base shear force for each individual in the current population. and maximum stress ; Step 43: First, based on the objective function, find... The individual corresponding to the minimum value is then evaluated based on the fitness function. Does the design condition meet? If yes, proceed to step 44; otherwise, continue to step 43. Step 44: Determine if the termination criterion is met: if yes, proceed to step 46; if no, proceed to step 45. Step 45: Increment the generation number g by 1; through selection, crossover, and mutation operations, perform sub-operations on the current population to obtain the design variable values ​​for the next generation: , and Iterative execution step 42; Step 46: Output the current design variable values ​​to obtain the optimal mass, stiffness, and damping coefficients of the floor slab.

3. The design method according to claim 2, characterized in that, The termination criterion is reaching the maximum number of generations. Or the objective function value reaches a preset threshold.

4. The design method according to claim 2, characterized in that, The selection operation in step 45 includes: sorting individuals by maximum stress value from smallest to largest according to the fitness function, and then selecting individuals with a preset order for reproduction.

5. The design method according to claim 2, characterized in that, The crossover operation in step 45 includes: randomly cross-combining several design variable values ​​of two individuals to generate new individuals for reproduction.

6. The design method according to claim 2, characterized in that, The mutation operation in step 45 includes: randomly mutating several design variable values ​​of several individuals to generate new individuals for reproduction.

7. The design method according to claim 1, characterized in that, A finite element analysis model was constructed using ABAQUS finite element analysis software.

8. The design method according to claim 1, characterized in that, Genetic algorithm iterative calculations were performed using the MATLAB platform.

9. A design system for a rigid-flexible composite connected floor steel frame employing the design method described in any one of claims 1-8, characterized in that, It includes a data receiving module, a data processing module, and a result generation module; The data receiving module is used to receive structural parameters, specifically including: Steel frame: Number of structural stories; mass, stiffness, and damping coefficient of each story; Floor slabs: mass, stiffness, and damping coefficient of each floor; The data processing module includes a finite element analysis unit, a first design unit, a second design unit, and a structural calculation model unit; The finite element analysis unit constructs a finite element analysis model based on the structural parameters; The bottom shear force of the steel frame under the action of a preset seismic wave The minimum value is taken as the objective function, and the specific formula includes: ； in, Indicates the first layer of the steel frame Shear force at the base of each frame column; Indicates the number of frame columns on the first floor of the steel frame; The maximum stress of the steel frame under the action of a preset seismic wave is used as the fitness function for subsequent evaluation of the quality of candidate solutions; the design conditions include: the maximum stress is not greater than the design value of the tensile strength of the steel. The first design unit, based on a genetic algorithm, combines an objective function and a fitness function to iteratively optimize the structural parameters, obtaining the optimal mass, stiffness, and damping coefficients of the floor slab, which serve as the first design result. The second design unit, based on the first design result, arranges seismic isolation bearings to obtain the second design result; The structural calculation model unit constructs an overall structural calculation model based on the first design result and the second design result; The result generation module is used to externalize the overall structural calculation model.

10. A design device for a rigid-flexible composite connection floor slab steel frame, characterized in that, It includes a processor, a memory, and a bus. The memory stores instructions and data read by the processor. The processor is used to call the instructions and data in the memory to execute the design method as described in any one of claims 1-8. The bus connects the functional components for transmitting information.

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