A simulation method, system, device and medium for a composite girder bridge with corrugated steel webs

Abstract

The present application relates to a simulation method, system, device and medium for a composite girder bridge with corrugated steel webs. The method includes: obtaining a three-dimensional structural finite element model of a composite girder bridge with corrugated steel webs; calculating the static characteristic vectors of structural members in the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs; obtaining a dynamic load vector, and based on the dynamic load vector and the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs, obtaining a distributed load field vector and a bridge flexural stiffness vector; inputting the bridge static characteristic vectors, dynamic load vector, distributed load field vector and bridge flexural stiffness vector into a bridge dynamic neural network model to obtain a displacement field vector of the composite girder bridge with corrugated steel webs; based on the dynamic load vector, the displacement field vector of the composite girder bridge with corrugated steel webs and the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs, constructing a three-dimensional dynamic finite element model of the composite girder bridge with corrugated steel webs. By using this method, the dynamic load simulation of the composite girder bridge with corrugated steel webs can be realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of three-dimensional finite element modeling and numerical simulation of bridges, and particularly relates to a simulation method, system, device and medium for a composite girder bridge with corrugated steel webs. Background Art

[0002] In recent years, due to its good structural performance, high material utilization rate and low construction cost, the composite girder bridge with corrugated steel webs has become an important trend in bridge design. The core advantage of the composite girder bridge with corrugated steel webs lies in its innovative design of corrugated steel webs, which can not only reduce self-weight, improve stiffness, but also significantly reduce the material usage and construction difficulty, especially suitable for bridge structures with large spans and high load requirements.

[0003] However, despite the significant advantages of the composite girder bridge with corrugated steel webs, how to design quickly and accurately under the premise of meeting diverse design requirements is still a major challenge faced by the current bridge design field. Traditional design methods often fail to fully consider various constraint conditions of bridges. At the same time, under dynamic loads, the structural response of the composite girder bridge with corrugated steel webs often exhibits non-linear characteristics, making it difficult to effectively simulate and analyze the impact of dynamic loads on the composite girder bridge with corrugated steel webs through manual means, which is not conducive to further optimizing the structure of the composite girder bridge with corrugated steel webs. Summary of the Invention

[0004] Based on this, it is necessary to provide a simulation method, system, device and medium for a composite girder bridge with corrugated steel webs in view of the above technical problems.

[0005] In a first aspect, the present application provides a simulation method for a composite girder bridge with corrugated steel webs, including:

[0006] Obtain a three-dimensional structural finite element model of a composite girder bridge with corrugated steel webs, which is used to characterize the static structural characteristics of the composite girder bridge with corrugated steel webs;

[0007] Calculate the static characteristic values of the structural members in the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs, and construct a bridge static characteristic vector, which is used to characterize the mechanical properties of the composite girder bridge with corrugated steel webs under static loads;

[0008] Obtain a dynamic load vector, and obtain a distributed load field vector and a bridge flexural stiffness vector based on the dynamic load vector and the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs;

[0009] Input the bridge static characteristic vector, dynamic load vector, distributed load field vector and bridge flexural stiffness vector into a bridge dynamic neural network model to obtain a displacement field vector of the composite girder bridge with corrugated steel webs;

[0010] Based on the dynamic load vector, the displacement field vector of the composite beam bridge with corrugated steel webs, and the three-dimensional structural finite element model of the composite beam bridge with corrugated steel webs, a three-dimensional dynamic finite element model of the composite beam bridge with corrugated steel webs is constructed. The three-dimensional dynamic finite element model is used to simulate the mechanical properties of the composite beam bridge with corrugated steel webs under dynamic loads.

[0011] In one embodiment, obtaining the three-dimensional structural finite element model of the composite beam bridge with corrugated steel webs includes:

[0012] Obtaining the line of the composite beam bridge with corrugated steel webs and initializing the model of the composite beam bridge with corrugated steel webs to obtain the static initial model of the composite beam bridge with corrugated steel webs;

[0013] Obtaining the structural parameters of the composite beam bridge with corrugated steel webs, and constructing a three-dimensional structural finite element model of the composite beam bridge with corrugated steel webs based on the structural parameters of the composite beam bridge with corrugated steel webs and the static initial model of the composite beam bridge with corrugated steel webs;

[0014] The expression of the structural parameters of the composite beam bridge with corrugated steel webs is:

[0015] ;

[0016] In the formula, is the structural parameter vector of the composite beam bridge with corrugated steel webs, is the bridge span component, is the bridge deck width component, is the bridge beam height component, is the bridge beam bottom curve component, is the corrugated steel web thickness component, is the corrugated steel web height component.

[0017] In one embodiment, obtaining the structural parameters of the composite beam bridge with corrugated steel webs includes:

[0018] Obtaining the initial vector of the structural parameters of the composite beam bridge with corrugated steel webs, and calculating the comprehensive performance index of the bridge based on the initial vector of the structural parameters of the composite beam bridge with corrugated steel webs;

[0019] If the comprehensive performance index of the bridge is higher than the threshold to be optimized, the initial vector of the structural parameters of the composite beam bridge with corrugated steel webs is set as the structural parameters of the composite beam bridge with corrugated steel webs. The threshold to be optimized is used to characterize the boundary value of the comprehensive performance index of the bridge that requires adjustment of the initial vector of the structural parameters of the composite beam bridge with corrugated steel webs to improve the comprehensive performance of the bridge;

[0020] If the comprehensive performance index of the bridge is lower than the threshold to be optimized, the initial vector of the structural parameters of the composite beam bridge with corrugated steel webs is optimized based on the BP neural network, and the optimized initial vector of the structural parameters of the composite beam bridge with corrugated steel webs is set as the structural parameters of the composite beam bridge with corrugated steel webs.

[0021] In one of the embodiments, the initial vector of the structural parameters of the composite beam bridge with corrugated steel webs is optimized based on a BP neural network, including:

[0022] Input the initial vector of the structural parameters of the composite beam bridge with corrugated steel webs into a 6-dimensional BP neural network to obtain the optimized initial vector of the structural parameters of the composite beam bridge with corrugated steel webs;

[0023] The objective function of the BP neural network is constructed based on the comprehensive performance index of the bridge;

[0024] The expression of the comprehensive performance index of the bridge is:

[0025] ;

[0026] In the formula, is the comprehensive performance index of the bridge, is the strength index coefficient, is the deflection index coefficient, is the economic index coefficient, is the maximum stress of the whole bridge under the ultimate load, is the ultimate strength of the bridge material, is the deflection at the mid-span of the main span under the ultimate load, is the upper limit of the deflection at the mid-span of the main span, is the theoretical mass of the bridge, is the mass cost coefficient of the bridge, is the estimated cost of the bridge.

[0027] In one of the embodiments, the bridge dynamic neural network model is a convolutional neural network model, and the bridge dynamic neural network model includes a convolutional layer and a fully connected layer;

[0028] The expression of the objective function of the bridge dynamic neural network model is:

[0029] ;

[0030] In the formula, is the objective function of the bridge dynamic neural network model, is the value of the dynamic load vector, is the dynamic load vector, is the value of the flexural stiffness vector of the bridge under the dynamic load, is the value of the displacement field vector of the composite beam bridge with corrugated steel webs under the dynamic load, is the value of the distributed load field vector under the dynamic load.

[0031] In one of the embodiments, the bridge static characteristic vector includes the bridge elastic buckling critical shear stress field vector;

[0032] The calculation formula for the critical shear stress field vector of the elastic buckling of the bridge is as follows:

[0033] ;

[0034] In the formula, is the value of the critical shear stress field vector of the elastic buckling of the bridge, is the local elastic buckling shear stress, is the global elastic buckling shear stress, is the local shear buckling coefficient, is the Young's modulus, is the Poisson's ratio, is the thickness of the corrugated steel web, is the maximum folding width of the corrugated steel web, is the global shear buckling coefficient, is the longitudinal bending stiffness per unit length of the corrugated steel web, The transverse bending stiffness per unit length of the corrugated steel web, is the height of the corrugated steel web.

[0035] In one of the embodiments, the static characteristic vector of the bridge includes a component of the cumulative damage value of the external tendon, a component of the cumulative damage value of the shear studs, and a component of the prediction of the overall life of the bridge.

[0036] In a second aspect, the present application also provides a simulation system for a composite beam bridge with corrugated steel webs, including:

[0037] A structural model acquisition module for acquiring a three-dimensional structural finite element model of a composite beam bridge with corrugated steel webs, and the three-dimensional structural finite element model of the composite beam bridge with corrugated steel webs is used to characterize the static structural characteristics of the composite beam bridge with corrugated steel webs;

[0038] A static characteristic analysis module for calculating the static characteristic values of the structural members in the three-dimensional structural finite element model of the composite beam bridge with corrugated steel webs, and constructing a static characteristic vector of the bridge, and the static characteristic vector of the bridge is used to characterize the mechanical properties of the composite beam bridge with corrugated steel webs under static loads;

[0039] A dynamic data acquisition module for acquiring a dynamic load vector, and obtaining a distributed load field vector and a bridge flexural stiffness vector based on the dynamic load vector and the three-dimensional structural finite element model of the composite beam bridge with corrugated steel webs;

[0040] A dynamic displacement analysis module for inputting the static characteristic vector of the bridge, the dynamic load vector, the distributed load field vector, and the bridge flexural stiffness vector into a bridge dynamic neural network model to obtain a displacement field vector of the composite beam bridge with corrugated steel webs;

[0041] A dynamic model acquisition module, which is used to construct a three-dimensional dynamic finite element model of a composite girder bridge with corrugated steel webs based on a dynamic load vector, a displacement field vector of the composite girder bridge with corrugated steel webs, and a three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs.

[0042] In a third aspect, the present application further provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0043] Obtain a three-dimensional structural finite element model of a composite girder bridge with corrugated steel webs, where the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs is used to characterize the static structural characteristics of the composite girder bridge with corrugated steel webs;

[0044] Calculate the static characteristic values of the structural members in the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs, and construct a bridge static characteristic vector, where the bridge static characteristic vector is used to characterize the mechanical properties of the composite girder bridge with corrugated steel webs under static loads;

[0045] Obtain a dynamic load vector, and based on the dynamic load vector and the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs, obtain a distributed load field vector and a bridge flexural stiffness vector;

[0046] Input the bridge static characteristic vector, the dynamic load vector, the distributed load field vector, and the bridge flexural stiffness vector into the bridge dynamic neural network model to obtain a displacement field vector of the composite girder bridge with corrugated steel webs;

[0047] Based on the dynamic load vector, the displacement field vector of the composite girder bridge with corrugated steel webs, and the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs, construct a three-dimensional dynamic finite element model of the composite girder bridge with corrugated steel webs. The three-dimensional dynamic finite element model is used to simulate the mechanical characteristics of the composite girder bridge with corrugated steel webs under dynamic loads.

[0048] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0049] Obtain a three-dimensional structural finite element model of a composite girder bridge with corrugated steel webs, where the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs is used to characterize the static structural characteristics of the composite girder bridge with corrugated steel webs;

[0050] Calculate the static characteristic values of the structural members in the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs, and construct a bridge static characteristic vector, where the bridge static characteristic vector is used to characterize the mechanical properties of the composite girder bridge with corrugated steel webs under static loads;

[0051] Obtain a dynamic load vector, and based on the dynamic load vector and the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs, obtain a distributed load field vector and a bridge flexural stiffness vector;

[0052] Input the bridge static characteristic vector, dynamic load vector, distributed load field vector, and bridge flexural stiffness vector into the bridge dynamic neural network model to obtain the displacement field vector of the corrugated steel web composite girder bridge;

[0053] Based on the dynamic load vector, the displacement field vector of the corrugated steel web composite girder bridge, and the three-dimensional structural finite element model of the corrugated steel web composite girder bridge, construct a three-dimensional dynamic finite element model of the corrugated steel web composite girder bridge. The three-dimensional dynamic finite element model is used to simulate the mechanical properties of the corrugated steel web composite girder bridge under dynamic loads.

[0054] The above simulation method and system of the corrugated steel web composite girder bridge can accurately evaluate the mechanical properties of the corrugated steel web composite girder bridge under static loads by constructing a three-dimensional structural finite element model and calculating static characteristic values and constructing static characteristic vectors, providing a strong basis for the initial design and static load safety of the bridge.

[0055] Furthermore, improve the acquisition of the dynamic load vector and further calculate the distributed load field vector and the bridge flexural stiffness vector, and combine with the dynamic neural network model to obtain the displacement field vector, fully considering the dynamic load conditions faced by the bridge in actual use, making the analysis of the bridge performance closer to the actual working conditions, and then being able to better understand the mechanical behavior of the bridge under different load conditions and ensure the safety of transportation. Description of the Drawings

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0057] Figure 1 It is a schematic flow chart of a simulation method of a corrugated steel web composite girder bridge provided by an embodiment of the present application;

[0058] Figure 2 It is a schematic flow chart of a method for obtaining the structural parameters of a corrugated steel web composite girder bridge provided by an embodiment of the present application;

[0059] Figure 3 It is a schematic structural diagram of a 6-dimensional BP neural network provided by an embodiment of the present application;

[0060] Figure 4 It is a schematic structural diagram of a bridge dynamic neural network model provided by an embodiment of the present application;

[0061] Figure 5Schematic flow chart of another simulation method for a composite girder bridge with corrugated steel webs provided by an embodiment of the present application;

[0062] Figure 6 Schematic structural diagram of a simulation system for a composite girder bridge with corrugated steel webs provided by an embodiment of the present application. Detailed implementation manners

[0063] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

[0064] In one embodiment, as Figure 1 shown, a simulation method for a composite girder bridge with corrugated steel webs is provided. In this embodiment, it is exemplified that the method is applied to a terminal. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0065] Step S101, obtain a three-dimensional structural finite element model of a composite girder bridge with corrugated steel webs.

[0066] Specifically, the terminal can obtain a three-dimensional structural finite element model of a composite girder bridge with corrugated steel webs. The three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs can be a preset three-dimensional structural finite element model or a three-dimensional structural finite element model constructed by an application program installed on the terminal based on the basic information of the composite girder bridge with corrugated steel webs.

[0067] Schematically, the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs can be used to characterize the static structural characteristics of the composite girder bridge with corrugated steel webs. The three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs can be used to analyze key performance indicators such as the structural strength and stiffness of the composite girder bridge with corrugated steel webs under static loads.

[0068] Step S102, calculate the static characteristic values of the structural members in the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs, and construct a bridge static characteristic vector.

[0069] Specifically, the terminal can perform finite element characteristic analysis and calculation based on the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs to obtain the static characteristic values of the structural members in the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs. And a bridge static characteristic vector can be constructed based on the obtained static characteristic values.

[0070] Schematically, the bridge static characteristic vector can be used to characterize the mechanical properties of a composite girder bridge with corrugated steel webs under static loads. The bridge static characteristic vector can be used to evaluate the static load-bearing capacity, stability, and connection relationships between various parts of the bridge structure.

[0071] Step S103: Obtain the dynamic load vector, and based on the dynamic load vector and the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs, obtain the distributed load field vector and the bridge flexural stiffness vector.

[0072] Specifically, the terminal can obtain the dynamic load vector. The dynamic load vector can be a preset dynamic load vector stored in the database or a real-time dynamic load vector constructed by an application program installed on the terminal based on the basic parameter information of the actual dynamic load of the composite girder bridge with corrugated steel webs. The terminal can apply the dynamic load vector to the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs, and calculate the load distribution of each part of the composite girder bridge with corrugated steel webs under the action of the dynamic load through finite element analysis software to obtain the distributed load field vector. Among them, the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs can, but is not limited to, characterize the geometric properties of the corrugated steel webs, the material properties of the composite girder bridge with corrugated steel webs, and the connection method between the corrugated steel webs and the concrete deck; the finite element analysis software can, but is not limited to, be ABAQUS, ANSYS, and LS-DYNA. The terminal can calculate the initial bridge flexural stiffness vector according to the knowledge of material mechanics and structural mechanics, combined with the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs, and use the three-dimensional structural finite element model of the composite girder bridge with corrugated steel webs to simulate the deformation and stress distribution of the composite girder bridge with corrugated steel webs under the action of the dynamic load, and can verify and adjust the initial bridge flexural stiffness vector according to the simulation results of the deformation and stress distribution to obtain the bridge flexural stiffness vector.

[0073] Optionally, the dynamic load vector can include, but is not limited to, the dynamic meteorological load vector and the dynamic traffic load vector. The dynamic meteorological load vector can include, but is not limited to, the temperature dynamic load vector, the water flow dynamic load vector, the air flow dynamic load vector, and the earthquake dynamic load vector. The dynamic traffic load vector can include, but is not limited to, the train dynamic load vector, the motor vehicle dynamic load vector, and the accident dynamic load vector.

[0074] Schematically, the distributed load field vector can be used to describe the distribution of the dynamic load on the structure of the composite girder bridge with corrugated steel webs. The distributed load field vector can include, but is not limited to, the magnitude and direction of the loads borne at different positions of the composite girder bridge with corrugated steel webs. The bridge flexural stiffness vector can be used to reflect the bending deformation resistance ability of the composite girder bridge with corrugated steel webs. The bridge flexural stiffness vector can comprehensively evaluate the mechanical properties and structural stability of the bridge based on the material characteristics and geometric shape of the bridge structure.

[0075] Step S104: Input the bridge static characteristic vector, dynamic load vector, distributed load field vector, and bridge flexural stiffness vector into the bridge dynamic neural network model to obtain the displacement field vector of the corrugated steel web composite girder bridge.

[0076] Specifically, the terminal can input the bridge static characteristic vector, dynamic load vector, distributed load field vector, and bridge flexural stiffness vector into the bridge dynamic neural network model to obtain the displacement field vector of the corrugated steel web composite girder bridge. The bridge dynamic neural network model can be carried on the terminal or on the server.

[0077] Optionally, the terminal can use the bridge static characteristic vector as the training supervision label of the bridge dynamic neural network model.

[0078] Step S105: Based on the dynamic load vector, the displacement field vector of the corrugated steel web composite girder bridge, and the three-dimensional structural finite element model of the corrugated steel web composite girder bridge, construct a three-dimensional dynamic finite element model of the corrugated steel web composite girder bridge.

[0079] Specifically, the terminal can generate a three-dimensional dynamic model of the dynamic load based on the dynamic load vector, and can apply the displacement field vector of the corrugated steel web composite girder bridge to the three-dimensional structural finite element model of the corrugated steel web composite girder bridge to generate a three-dimensional dynamic structural deformation finite element model of the corrugated steel web composite girder bridge. Among them, the three-dimensional dynamic structural deformation finite element model of the corrugated steel web composite girder bridge can enable the three-dimensional dynamic finite element model of the corrugated steel web composite girder bridge to have node displacements that conform to the actual dynamic response during the dynamic analysis process. The terminal can perform time series matching and position matching on the three-dimensional dynamic model of the dynamic load and the three-dimensional dynamic structural deformation finite element model of the corrugated steel web composite girder bridge to construct a three-dimensional dynamic finite element model of the corrugated steel web composite girder bridge. Among them, the three-dimensional dynamic finite element model can be used to simulate the mechanical properties of the corrugated steel web composite girder bridge under dynamic loads.

[0080] Optionally, the three-dimensional dynamic finite element model can include, but is not limited to, a dynamic load sub-model corresponding to the dynamic load vector, a three-dimensional dynamic finite element sub-model of the corrugated steel web composite girder bridge, and a time degradation sub-model of the corrugated steel web composite girder bridge.

[0081] In the above simulation method of the corrugated steel web composite girder bridge, by constructing a three-dimensional finite element model of the corrugated steel web composite girder bridge, the geometric shape, material properties, and boundary conditions of the corrugated steel web composite girder bridge can be accurately characterized. By calculating the static characteristic values of the structural members, the mechanical properties of the bridge under static loads can be quantified, and the static characteristic values can be constructed in vector form for subsequent analysis and optimization.

[0082] Furthermore, through the dynamic load vector, the dynamic loads borne by the composite beam bridge with corrugated steel webs during actual use can be accurately simulated. By using the neural network model, the displacement field of the bridge under dynamic loads can be quickly predicted, reducing the calculation time. Through the three-dimensional dynamic finite element model, combining the static and dynamic analysis results, the mechanical properties of the bridge under actual loads can be accurately simulated, comprehensively evaluating the structural performance of the bridge, and significantly improving the design efficiency, safety, and reliability of the composite beam bridge with corrugated steel webs.

[0083] In one alternative embodiment, obtaining the three-dimensional structural finite element model of the composite beam bridge with corrugated steel webs includes:

[0084] Specifically, obtain the line of the composite beam bridge with corrugated steel webs and initialize the model of the composite beam bridge with corrugated steel webs to obtain the static initial model of the composite beam bridge with corrugated steel webs.

[0085] Schematically, the line of the composite beam bridge with corrugated steel webs can be generated based on the line planning document, map data, and surveying data of the composite beam bridge with corrugated steel webs.

[0086] Optionally, a matching initial model of the composite beam bridge with corrugated steel webs can be obtained from the initial model database of the composite beam bridge with corrugated steel webs based on the line of the composite beam bridge with corrugated steel webs as the static initial model of the composite beam bridge with corrugated steel webs.

[0087] Specifically, obtain the structural parameters of the composite beam bridge with corrugated steel webs, and construct a three-dimensional structural finite element model of the composite beam bridge with corrugated steel webs based on the structural parameters of the composite beam bridge with corrugated steel webs and the static initial model of the composite beam bridge with corrugated steel webs.

[0088] Optionally, a three-dimensional structural finite element model of the composite beam bridge with corrugated steel webs can be constructed based on the preset structural parameters of the composite beam bridge with corrugated steel webs, combined with the static initial model of the composite beam bridge with corrugated steel webs.

[0089] Specifically, a feasible expression for the structural parameters of the composite beam bridge with corrugated steel webs is:

[0090] ;

[0091] In the formula, is the structural parameter vector of the composite beam bridge with corrugated steel webs, is the bridge span component, is the deck width component, is the bridge beam height component, is the bridge beam bottom curve component, is the corrugated steel web thickness component, is the corrugated steel web height component.

[0092] Schematically, in the structural parameter vector of the composite girder bridge with corrugated steel webs the bridge span component can be used to characterize the overall stiffness of the bridge, and the deck width component can be used to characterize the lateral stability of the bridge. The bridge girder height component can be used to characterize the mechanical properties of the bridge. The bridge girder bottom curve component can be used to characterize the stress distribution of the bridge. The corrugated steel web thickness component and the corrugated steel web height component can be used to characterize the mechanical properties of the corrugated steel webs.

[0093] In the above simulation method of the composite girder bridge with corrugated steel webs, the geometric shape and topological structure of the composite girder bridge with corrugated steel webs can be accurately described through line data and structural parameters, and based on the structural parameter vector, a three-dimensional finite element model can be quickly generated, providing a basis for subsequent static and dynamic analyses and ensuring the reliability of the analysis results.

[0094] In one alternative embodiment, as Figure 2 shown, obtaining the structural parameters of the composite girder bridge with corrugated steel webs includes:

[0095] Step S201, obtaining the initial vector of the structural parameters of the composite girder bridge with corrugated steel webs and calculating the bridge comprehensive performance index based on the initial vector of the structural parameters of the composite girder bridge with corrugated steel webs.

[0096] Optionally, the bridge comprehensive performance index may include a strength component, a deflection component, and an economy component.

[0097] Step S202, if the bridge comprehensive performance index is higher than the to-be-optimized threshold, setting the initial vector of the structural parameters of the composite girder bridge with corrugated steel webs as the structural parameters of the composite girder bridge with corrugated steel webs.

[0098] Specifically, if the bridge comprehensive performance index is higher than the to-be-optimized threshold, setting the initial vector of the structural parameters of the composite girder bridge with corrugated steel webs as the structural parameters of the composite girder bridge with corrugated steel webs, and the to-be-optimized threshold is used to characterize the boundary value of the bridge comprehensive performance index that requires adjustment of the initial vector of the structural parameters of the composite girder bridge with corrugated steel webs to improve the comprehensive performance of the bridge.

[0099] Step S203, if the bridge comprehensive performance index is lower than the to-be-optimized threshold, optimizing the initial vector of the structural parameters of the composite girder bridge with corrugated steel webs based on the BP neural network and setting the optimized initial vector of the structural parameters of the composite girder bridge with corrugated steel webs as the structural parameters of the composite girder bridge with corrugated steel webs.

[0100] Optionally, the dimension of the BP neural network may be the same as the dimension of the initial vector of the structural parameters of the composite girder bridge with corrugated steel webs.

[0101] In the above simulation method of the corrugated steel web composite girder bridge, the performance of the bridge can be quantified by calculating comprehensive performance indicators, the design scheme can be quickly evaluated, and the design efficiency, performance and economy of the corrugated steel web composite girder bridge can be significantly improved.

[0102] In one alternative embodiment, please refer to Figure 3 , and optimize the initial vector of the structural parameters of the corrugated steel web composite girder bridge, including:

[0103] Specifically, input the initial vector of the structural parameters of the corrugated steel web composite girder bridge into a 6-dimensional BP neural network to obtain the optimized initial vector of the structural parameters of the corrugated steel web composite girder bridge.

[0104] Schematically, the BP neural network can include an input layer, a hidden layer and an output layer. The initial vector of the structural parameters of the corrugated steel web composite girder bridge to be optimized can be input into the trained BP neural network through the input layer for optimization processing, and the optimized initial vector of the structural parameters of the corrugated steel web composite girder bridge is output at the output layer.

[0105] Optionally, before inputting the initial vector of the structural parameters of the corrugated steel web composite girder bridge into the 6-dimensional BP neural network, the data of the initial vector of the structural parameters of the corrugated steel web composite girder bridge can be normalized for sample data. A feasible formula for normalizing the sample data is:

[0106] ;

[0107] In the formula, is the value before normalization processing, is the value after normalization processing, is the lower limit parameter for normalization processing, is the upper limit parameter for normalization processing, is the maximum value of the data for each dimension, is the minimum value of the data for each dimension.

[0108] Specifically, the objective function of the BP neural network can be constructed based on the comprehensive performance indicators of the bridge.

[0109] Specifically, a feasible expression for the comprehensive performance indicators of the bridge is:

[0110] ;

[0111] In the formula, is the comprehensive performance indicator of the bridge, is the strength index coefficient, is the deflection index coefficient, is the economic index coefficient, is the maximum stress of the entire bridge under the ultimate load, is the ultimate strength of the bridge material, is the deflection at the mid-span of the main span under the ultimate load, is the upper limit of the deflection at the mid-span of the main span, is the theoretical mass of the bridge, is the bridge mass cost coefficient, is the estimated cost of the bridge.

[0112] In the above simulation method of the composite girder bridge with corrugated steel webs, the optimal structural parameters can be quickly searched through the non-linear mapping ability of the BP neural network; based on the objective function of the comprehensive performance index, the optimization direction can be clarified to achieve multi-objective optimization. By introducing the BP neural network, the design efficiency, performance and economy of the composite girder bridge with corrugated steel webs can be significantly improved.

[0113] In one of the optional embodiments, please refer to Figure 4 , the bridge dynamic neural network model is a convolutional neural network model, and the bridge dynamic neural network model can include a convolutional layer and a fully connected layer.

[0114] Specifically, a feasible expression of the objective function of the bridge dynamic neural network model is:

[0115] ;

[0116] In the formula, is the objective function of the bridge dynamic neural network model, is the dynamic load vector value, is the dynamic load vector, is the bridge flexural stiffness vector value under the dynamic load, is the displacement field vector value of the composite girder bridge with corrugated steel webs under the dynamic load, is the distributed load field vector value under the dynamic load.

[0117] In the above simulation method of the composite girder bridge with corrugated steel webs, the local features of the input data can be effectively extracted through the convolutional neural network, the amount of calculation can be reduced, the calculation efficiency can be improved, and thus the dynamic analysis efficiency, prediction accuracy and design level of the composite girder bridge with corrugated steel webs can be significantly improved.

[0118] In one of the optional embodiments, the bridge static characteristic vector includes the bridge elastic buckling critical shear stress field vector.

[0119] Specifically, the calculation formula of the bridge elastic buckling critical shear stress field vector is:

[0120] ;

[0121] In the formula, is the vector value of the critical shear stress field for the elastic buckling of the bridge, is the local elastic buckling shear stress, is the global elastic buckling shear stress, is the local shear buckling coefficient, is the Young's modulus, is the Poisson's ratio, is the thickness of the corrugated steel web, is the maximum folding width of the corrugated steel web, is the global shear buckling coefficient, is the longitudinal bending stiffness per unit length of the corrugated steel web, The transverse bending stiffness per unit length of the corrugated steel web, is the height of the corrugated steel web.

[0122] Optionally, when the geometry of the corrugated steel web is relatively simple, such as: the corrugated steel web is symmetric or has periodic regular corrugations, and during the preliminary design of the bridge structure, the feasible calculation formulas for the longitudinal bending stiffness per unit length of the corrugated steel web and the transverse bending stiffness per unit length of the corrugated steel web are:

[0123] ;

[0124] In the formula, is the corrugation shape correction coefficient.

[0125] Furthermore, when the geometry of the corrugated steel web is relatively complex, such as: the corrugations are asymmetric, variable cross-section or locally strengthened; when the corrugated steel web is subjected to dynamic loads and the coupling action of multi-directional loads; and during the detailed design stage of the bridge structure, the feasible calculation formulas for the longitudinal bending stiffness per unit length of the corrugated steel web and the transverse bending stiffness per unit length of the corrugated steel web are:

[0126] ;

[0127] In the formula, is the length of the straight section between two adjacent crests or troughs on the corrugated steel web, is the projection length of the inclined section between two adjacent crests or troughs on the corrugated steel web in the horizontal direction, is the length of the inclined section between two adjacent crests or troughs on the corrugated steel web, is the moment of inertia of the corrugated steel web about the y-axis, is the projection length of the inclined section between two adjacent crests or troughs on the corrugated steel web in the vertical direction, is the inclination angle of the inclined section between two adjacent crests or troughs on the corrugated steel web.

[0128] Schematically, the critical shear stress field vector of the elastic buckling of the bridge can be used as the training supervision label of the dynamic neural network model of the bridge, and the critical shear stress field vector of the elastic buckling of the bridge can be used to characterize the critical shear stress when the bridge structure reaches the elastic buckling state under the action of shear load.

[0129] In one feasible embodiment, the static characteristic vector of the bridge includes the component of the cumulative damage value of the external tendon, the component of the cumulative damage value of the shear studs, and the component of the overall life prediction of the bridge.

[0130] Optionally, a feasible expression for the cumulative damage value component is:

[0131] ;

[0132] In the formula, is the cumulative damage value, is the number of cycles under the th stress amplitude, is the th fatigue life corresponding to the stress amplitude.

[0133] In one feasible embodiment, as Figure 5 shown, another simulation method for the composite beam bridge with corrugated steel webs is provided, including:

[0134] Step S501, obtain the line of the composite beam bridge with corrugated steel webs and initialize the model of the composite beam bridge with corrugated steel webs to obtain the static initial model of the composite beam bridge with corrugated steel webs.

[0135] Step S502, obtain the initial vector of the structural parameters of the composite beam bridge with corrugated steel webs, and calculate the comprehensive performance index of the bridge based on the initial vector of the structural parameters of the composite beam bridge with corrugated steel webs.

[0136] Step S511, if the comprehensive performance index of the bridge is higher than the threshold to be optimized, set the initial vector of the structural parameters of the composite beam bridge with corrugated steel webs as the structural parameters of the composite beam bridge with corrugated steel webs.

[0137] Step S521, if the comprehensive performance index of the bridge is lower than the threshold to be optimized, input the initial vector of the structural parameters of the composite beam bridge with corrugated steel webs into a 6-dimensional BP neural network to obtain the optimized initial vector of the structural parameters of the composite beam bridge with corrugated steel webs.

[0138] Step S522, set the optimized initial vector of the structural parameters of the composite beam bridge with corrugated steel webs as the structural parameters of the composite beam bridge with corrugated steel webs.

[0139] Step S503, construct a three-dimensional structural finite element model of the composite beam bridge with corrugated steel webs based on the structural parameters of the composite beam bridge with corrugated steel webs and the static initial model of the composite beam bridge with corrugated steel webs.

[0140] Step S504: Calculate the static characteristic values of the structural components in the three-dimensional structural finite element model of the corrugated steel web composite beam bridge, and construct the bridge static characteristic vector.

[0141] Step S505: Obtain the dynamic load vector, and based on the dynamic load vector and the three-dimensional structural finite element model of the corrugated steel web composite beam bridge, obtain the distributed load field vector and the bridge flexural stiffness vector.

[0142] Step S506: Input the bridge static characteristic vector, dynamic load vector, distributed load field vector, and bridge flexural stiffness vector into the bridge dynamic neural network model to obtain the displacement field vector of the corrugated steel web composite beam bridge.

[0143] Step S507: Based on the dynamic load vector, the displacement field vector of the corrugated steel web composite beam bridge, and the three-dimensional structural finite element model of the corrugated steel web composite beam bridge, construct the three-dimensional dynamic finite element model of the corrugated steel web composite beam bridge.

[0144] In the above simulation method of the corrugated steel web composite beam bridge, by forming a complete simulation system from the construction of the corrugated steel web composite beam bridge model, parameter determination to static and dynamic performance analysis, it helps to improve the design quality, design efficiency, safety and reliability of the corrugated steel web composite beam bridge, thereby ensuring the operation safety of the corrugated steel web composite beam bridge and optimizing the maintenance strategy of the corrugated steel web composite beam bridge.

[0145] It should be understood that although the steps in the flowcharts involved in the above embodiments are shown in sequence according to the arrows, these steps do not necessarily need to be executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages. These steps or stages do not necessarily need to be executed at the same time, but can be executed at different times. The execution order of these steps or stages does not necessarily need to be sequential, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps.

[0146] Based on the same inventive concept, the embodiment of the present application also provides a corrugated steel web composite beam bridge simulation system for implementing the above-mentioned corrugated steel web composite beam bridge simulation method. The implementation solutions provided by this device to solve problems are similar to the implementation solutions recorded in the above method. Therefore, the specific limitations in one or more embodiments of the corrugated steel web composite beam bridge simulation system provided below can refer to the limitations on the corrugated steel web composite beam bridge simulation method in the above text, and will not be repeated here.

[0147] In an exemplary embodiment, as Figure 6 shown, a simulation system 600 for a composite beam bridge with corrugated steel webs is provided, including:

[0148] A structural model acquisition module 601, which can be used to acquire a three-dimensional structural finite element model of the composite beam bridge with corrugated steel webs. The three-dimensional structural finite element model of the composite beam bridge with corrugated steel webs is used to characterize the static structural characteristics of the composite beam bridge with corrugated steel webs.

[0149] A static characteristic analysis module 602, which can be used to calculate the static characteristic values of the structural members in the three-dimensional structural finite element model of the composite beam bridge with corrugated steel webs and construct a bridge static characteristic vector. The bridge static characteristic vector is used to characterize the mechanical properties of the composite beam bridge with corrugated steel webs under static loads.

[0150] A dynamic data acquisition module 603, which can be used to acquire a dynamic load vector and obtain a distributed load field vector and a bridge flexural stiffness vector based on the dynamic load vector and the three-dimensional structural finite element model of the composite beam bridge with corrugated steel webs.

[0151] A dynamic displacement analysis module 604, which can be used to input the bridge static characteristic vector, the dynamic load vector, the distributed load field vector and the bridge flexural stiffness vector into a bridge dynamic neural network model to obtain a displacement field vector of the composite beam bridge with corrugated steel webs.

[0152] A dynamic model acquisition module 605, which can be used to construct a three-dimensional dynamic finite element model of the composite beam bridge with corrugated steel webs based on the dynamic load vector, the displacement field vector of the composite beam bridge with corrugated steel webs and the three-dimensional structural finite element model of the composite beam bridge with corrugated steel webs.

[0153] In an alternative embodiment, the structural model acquisition module 601 can also be used to acquire the line of the composite beam bridge with corrugated steel webs and initialize the model of the composite beam bridge with corrugated steel webs to obtain a static initial model of the composite beam bridge with corrugated steel webs; acquire the structural parameters of the composite beam bridge with corrugated steel webs and construct a three-dimensional structural finite element model of the composite beam bridge with corrugated steel webs based on the structural parameters of the composite beam bridge with corrugated steel webs and the static initial model of the composite beam bridge with corrugated steel webs.

[0154] In an alternative embodiment, the structural model acquisition module 601 can also be used to acquire an initial vector of the structural parameters of the composite beam bridge with corrugated steel webs and calculate the comprehensive performance index of the bridge based on the initial vector of the structural parameters of the composite beam bridge with corrugated steel webs; if the comprehensive performance index of the bridge is higher than the threshold to be optimized, set the initial vector of the structural parameters of the composite beam bridge with corrugated steel webs as the structural parameters of the composite beam bridge with corrugated steel webs; if the comprehensive performance index of the bridge is lower than the threshold to be optimized, optimize the initial vector of the structural parameters of the composite beam bridge with corrugated steel webs based on the BP neural network and set the optimized initial vector of the structural parameters of the composite beam bridge with corrugated steel webs as the structural parameters of the composite beam bridge with corrugated steel webs.

[0155] In an optional embodiment, the structural model acquisition module 601 can also be used to input the initial vector of the structural parameters of the corrugated steel web composite girder bridge into a 6-dimensional BP neural network to obtain an optimized initial vector of the structural parameters of the corrugated steel web composite girder bridge.

[0156] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of a power supply safety management method as described above are implemented.

[0157] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0158] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the partial descriptions of the method embodiments. The device embodiments described above are only illustrative. The components described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of the present disclosure. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0159] The above embodiments only represent several implementation manners of the embodiments of the present application. The description is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the embodiments of the application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the embodiments of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the embodiments of the present application.

Claims

1. A simulation method for a composite beam bridge with corrugated steel webs, characterized in that: The method comprises: Obtaining a three-dimensional structural finite element model of a corrugated steel web composite beam bridge, wherein the three-dimensional structural finite element model of the corrugated steel web composite beam bridge is used to characterize the static structural characteristics of the corrugated steel web composite beam bridge; Calculating the static characteristic values ​​of the structural members in the three-dimensional structural finite element model of the corrugated steel web composite beam bridge, and constructing a bridge static characteristic vector, wherein the bridge static characteristic vector is used to characterize the mechanical properties of the corrugated steel web composite beam bridge under static load; Obtaining a dynamic load vector, and obtaining a distributed load field vector and a bridge bending stiffness vector based on the dynamic load vector and the three-dimensional structural finite element model of the corrugated steel web composite beam bridge; Inputting the bridge static characteristic vector, the dynamic load vector, the distributed load field vector and the bridge bending stiffness vector into a bridge dynamic neural network model to obtain a displacement field vector of a corrugated steel web composite beam bridge; Based on the dynamic load vector, the displacement field vector of the corrugated steel web composite beam bridge and the three-dimensional structural finite element model of the corrugated steel web composite beam bridge, a three-dimensional dynamic finite element model of the corrugated steel web composite beam bridge is constructed. The three-dimensional dynamic finite element model is used to simulate the mechanical properties of the corrugated steel web composite beam bridge under the action of dynamic load.

2. The method according to claim 1, characterized in that The method of obtaining a three-dimensional structural finite element model of a corrugated steel web composite beam bridge comprises: Obtaining a corrugated steel web composite beam bridge route and initializing a corrugated steel web composite beam bridge model to obtain a static initial model of the corrugated steel web composite beam bridge; Acquire structural parameters of a corrugated steel web composite beam bridge, and construct a three-dimensional structural finite element model of the corrugated steel web composite beam bridge based on the structural parameters of the corrugated steel web composite beam bridge and a static initial model of the corrugated steel web composite beam bridge; The expression of the structural parameters of the corrugated steel web composite beam bridge is: ； In the formula, is the structural parameter vector of the composite beam bridge with corrugated steel webs, is the bridge span component, is the bridge deck width component, is the bridge beam height component, is the bridge beam bottom curve component, is the thickness component of the corrugated steel web, is the height component of the corrugated steel web.

3. The method according to claim 2, characterized in that The obtaining of structural parameters of a corrugated steel web composite beam bridge comprises: Obtaining an initial vector of structural parameters of a composite beam bridge with corrugated steel webs, and calculating a comprehensive performance index of the bridge based on the initial vector of structural parameters of the composite beam bridge with corrugated steel webs; If the comprehensive performance index of the bridge is higher than the threshold to be optimized, the initial vector of the structural parameters of the corrugated steel web composite beam bridge is set to the structural parameters of the corrugated steel web composite beam bridge, and the threshold to be optimized is used to represent the boundary value of the comprehensive performance index of the bridge that needs to adjust the initial vector of the structural parameters of the corrugated steel web composite beam bridge to improve the comprehensive performance of the bridge; If the comprehensive performance index of the bridge is lower than the threshold to be optimized, the initial vector of the structural parameters of the corrugated steel web composite beam bridge is optimized based on the BP neural network, and the optimized initial vector of the structural parameters of the corrugated steel web composite beam bridge is set as the structural parameters of the corrugated steel web composite beam bridge.

4. The method according to claim 3, characterized in that The optimization of the initial vector of the structural parameters of the corrugated steel web composite beam bridge based on the BP neural network includes: Inputting the initial vector of the structural parameters of the corrugated steel web composite beam bridge into the 6-dimensional BP neural network to obtain the optimized initial vector of the structural parameters of the corrugated steel web composite beam bridge; The objective function of the BP neural network is constructed based on the comprehensive performance index of the bridge; The expression of the comprehensive performance index of the bridge is: ； In the formula, is the comprehensive performance index of the bridge. is the strength index coefficient, is the deflection index coefficient, is the economic indicator coefficient, is the maximum stress of the whole bridge under the ultimate load, is the ultimate strength of the bridge material, is the deflection in the middle of the main span under the ultimate load, is the upper limit of the mid-span deflection of the main span, is the theoretical mass of the bridge, is the bridge quality cost coefficient, Estimate the cost for the bridge.

5. The method according to claim 1, characterized in that The bridge dynamic neural network model is a convolutional neural network model, and the bridge dynamic neural network model includes a convolutional layer and a fully connected layer; The objective function of the bridge dynamic neural network model is expressed as: ； In the formula, is the objective function of the bridge dynamic neural network model, is the dynamic load vector value, is the dynamic load vector, is the bridge bending stiffness vector value under dynamic load, is the displacement field vector value of the composite beam bridge with corrugated steel web under dynamic load, is the distributed load field vector value under dynamic load.

6. The method according to any one of claims 1 to 5, characterized in that: The bridge static characteristic vector includes the bridge elastic buckling critical shear stress field vector; The calculation formula of the critical shear stress field vector of bridge elastic buckling is: ； In the formula, is the critical shear stress field vector value of bridge elastic buckling, is the local elastic buckling shear stress, is the overall elastic buckling shear stress, is the local shear buckling coefficient, is Young's modulus, is Poisson's ratio, is the thickness of the corrugated steel web, is the maximum folded width of the corrugated steel web, is the overall shear buckling coefficient, is the longitudinal bending stiffness per unit length of the corrugated steel web, Transverse bending stiffness per unit length of corrugated steel web, is the height of corrugated steel web.

7. The method according to any one of claims 1 to 5, characterized in that: The bridge static characteristic vector includes an external beam cumulative damage value component, a shear stud cumulative damage value component and a bridge overall life prediction component.

8. A simulation system for a composite beam bridge with corrugated steel webs, characterized in that: The system comprises: A structural model acquisition module, used to acquire a three-dimensional structural finite element model of a composite beam bridge with corrugated steel webs, wherein the three-dimensional structural finite element model of a composite beam bridge with corrugated steel webs is used to characterize the static structural characteristics of the composite beam bridge with corrugated steel webs; A static characteristic analysis module, used to calculate the static characteristic values ​​of the structural members in the three-dimensional structural finite element model of the corrugated steel web composite beam bridge, and to construct a bridge static characteristic vector, wherein the bridge static characteristic vector is used to characterize the mechanical properties of the corrugated steel web composite beam bridge under static load; A dynamic data acquisition module, used to acquire a dynamic load vector, and acquire a distributed load field vector and a bridge bending stiffness vector based on the dynamic load vector and the three-dimensional structural finite element model of the corrugated steel web composite beam bridge; A dynamic displacement analysis module, used for inputting the bridge static characteristic vector, the dynamic load vector, the distributed load field vector and the bridge bending stiffness vector into a bridge dynamic neural network model to obtain a displacement field vector of a corrugated steel web composite beam bridge; A dynamic model acquisition module is used to construct a three-dimensional dynamic finite element model of the corrugated steel web composite beam bridge based on the dynamic load vector, the displacement field vector of the corrugated steel web composite beam bridge and the three-dimensional structural finite element model of the corrugated steel web composite beam bridge.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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