A comprehensive optimization method and system for multiple design variables of cable-stayed bridges

Abstract

The present invention provides a method and system for comprehensive optimization of multiple design variables of a cable-stayed bridge, wherein the method comprises: analyzing the design data of the cable-stayed bridge and constructing a finite element model; analyzing the finite element model and determining multiple design variables and constraints; determining an initial optimization scheme based on multiple design variables and constraints; analyzing construction monitoring data and updating the finite element model; and performing analysis again to update the initial optimization scheme. The present invention realizes the optimization of the cable-stayed bridge after complex force conditions are analyzed.

Description

Technical Field

[0001] The invention relates to the technical field of bridge construction, and in particular to a multi-design variable comprehensive optimization method and system for a cable-stayed bridge. Background Art

[0002] A cable-stayed bridge, also known as a cable-stayed bridge, is a bridge in which the main beam is directly pulled on the bridge tower by many cables. It is a structural system composed of a pressure-bearing tower, a tensioned cable and a bending beam. It can be regarded as a multi-span elastically supported continuous beam with cables replacing piers. It can reduce the bending moment in the beam body, lower the building height, reduce the structural weight and save materials. A cable-stayed bridge is mainly composed of a cable tower, a main beam and a cable.

[0003] The cable-stayed bridge structure is a highly hyperstatic structure in mechanics and is the most complex structure among all bridge types. Due to the different cable forces and construction methods, the final stress state of the completed bridge will be significantly different; how to optimize the cable-stayed bridge after complex stress analysis is a technical problem that needs to be solved urgently. Summary of the invention

[0004] One of the purposes of the present invention is to provide a method and system for comprehensive optimization of multiple design variables of a cable-stayed bridge, so as to achieve optimization of the cable-stayed bridge after complex stress condition analysis.

[0005] An embodiment of the present invention provides a multi-design variable comprehensive optimization method for a cable-stayed bridge, comprising:

[0006] Analyze the design data of cable-stayed bridges and construct finite element models;

[0007] Analyze finite element models to determine multiple design variables and constraints;

[0008] Determine the initial optimization solution based on multiple design variables and constraints;

[0009] Analyze construction monitoring data and update the finite element model;

[0010] Perform analysis again and update the initial optimization plan.

[0011] Preferably, the steps of constructing the finite element model are as follows:

[0012] Generate a 3D model of the cable-stayed bridge based on the design data;

[0013] Perform finite element segmentation on the three-dimensional model, obtain finite element units and configure the parameters of the finite element units.

[0014] Preferably, the finite element model is analyzed to determine multiple design variables and constraints, including:

[0015] Determine multiple design variables from the finite element model according to a pre-configured determination method of each multiple design variable;

[0016] Extract features from the finite element model and construct an identification parameter set based on the extracted feature parameters;

[0017] According to the identification parameter set, the corresponding constraint condition is retrieved from the pre-configured constraint condition library.

[0018] Preferably, the updating steps of the finite element model are as follows:

[0019] The parameters of the corresponding finite element units are adjusted based on the inspection data of the completed components and the inspection data of the components under construction extracted from the construction monitoring data.

[0020] Preferably, the cable-stayed bridge multi-design variable comprehensive optimization method further includes:

[0021] Release the updated finite element model and initial optimization solution;

[0022] An expert solution for receiving feedback from a pre-configured expert client;

[0023] Evaluate the expert solution and the updated solution of the initial optimization solution according to the pre-configured evaluation method;

[0024] Select the one with higher ratings as the final solution.

[0025] The present invention also provides a cable-stayed bridge multi-design variable comprehensive optimization system, comprising: a finite element model construction module, a model analysis module, an initial optimization module and an update module; wherein the finite element model construction module analyzes the design data of the cable-stayed bridge and constructs a finite element model; the model analysis module analyzes the finite element model and determines multiple design variables and constraints; the initial optimization module determines an initial optimization scheme based on multiple design variables and constraints; the update module analyzes construction monitoring data, updates the finite element model, performs analysis again, and updates the initial optimization scheme.

[0026] Preferably, the steps of constructing the finite element model by the finite element model construction module are as follows:

[0027] Generate a 3D model of the cable-stayed bridge based on the design data;

[0028] Perform finite element segmentation on the three-dimensional model, obtain finite element units and configure the parameters of the finite element units.

[0029] Preferably, the model analysis module performs the following operations:

[0030] Determine multiple design variables from the finite element model according to a pre-configured determination method of each multiple design variable;

[0031] Extract features from the finite element model and construct an identification parameter set based on the extracted feature parameters;

[0032] According to the identification parameter set, the corresponding constraint condition is retrieved from the pre-configured constraint condition library.

[0033] Preferably, the updating steps of the updating module to update the finite element model are as follows:

[0034] The parameters of the corresponding finite element units are adjusted based on the inspection data of the completed components and the inspection data of the components under construction extracted from the construction monitoring data.

[0035] Preferably, the cable-stayed bridge multi-design variable comprehensive optimization system further includes: a publishing module, a receiving module and an evaluation and selection module;

[0036] Among them, the publishing module publishes the updated finite element model and the initial optimization plan; the receiving module receives the expert plan with feedback from the pre-configured expert end; the evaluation and selection module evaluates the expert plan and the updated plan of the initial optimization plan according to the pre-configured evaluation method; and the plan with the higher evaluation is selected as the final plan.

[0037] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0038] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0040] Figure 1 Schematic diagram of a multi-design variable comprehensive optimization method for a cable-stayed bridge in an embodiment of the present invention;

[0041] Figure 2 Schematic diagram of a multi-design variable comprehensive optimization system for a cable-stayed bridge in an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0043] The embodiment of the present invention provides a comprehensive optimization method for multiple design variables of a cable-stayed bridge, such as Figure 1 As shown, including:

[0044] Step 1: Analyze the design data of the cable-stayed bridge and construct a finite element model;

[0045] The use of finite element models can better analyze the forces of cable-stayed bridges. The steps for constructing finite element models are as follows: Based on the design data, generate a three-dimensional model corresponding to the cable-stayed bridge; perform finite element segmentation on the three-dimensional model to obtain finite element units and configure the parameters of the finite element units. Specifically: extract the parameter data of each component of the cable-stayed bridge in the design data and construct the corresponding three-dimensional models of the components respectively, and then splice the three-dimensional models of each component to generate the three-dimensional model corresponding to the cable-stayed bridge; the finite element segmentation of the three-dimensional model of the cable-stayed bridge can be understood as the finite element segmentation of the three-dimensional models of each component, using different finite element segmentation methods according to the type of component, and using the type number corresponding to the component to retrieve the corresponding segmentation method from the pre-configured finite element unit segmentation method library for segmentation; thereby obtaining at least one finite element unit corresponding to each component; the parameters of the finite element unit include: the size parameters, weight parameters, tensile parameters, anti-extrusion parameters, etc. of the segmentation area corresponding to the three-dimensional model corresponding to the finite element unit;

[0046] Step 2: Analyze the finite element model and determine multiple design variables and constraints;

[0047] Analyze the finite element model and determine multiple design variables and constraints, including: determine multiple design variables from the finite element model according to the pre-configured determination method of each multiple design variable; extract features from the finite element model and construct an identification parameter set based on the extracted feature parameters; retrieve the corresponding constraints from the pre-configured constraint library based on the identification parameter set. The determination of multiple design variables and constraints is an important step in the optimization analysis of cable-stayed bridges. Multiple design variables include: cable force, main beam weight, main beam bending strain energy, side span support reaction, etc. Constraints include: adjacent cable forces should not be too different, the maximum cable force difference should not be too large, due to the limited capacity of the box girder, the weight at each stage should be within a reasonable range, and the support reaction should not exceed the support bearing capacity limit.

[0048] Step 3: Determine the initial optimization solution based on multiple design variables and constraints;

[0049] Taking the optimization coefficients of the cable force and the concentrated weight of the completed bridge as the design variables, and considering the dead load of the main beam at the same time, the adjustment vector X is obtained; taking the minimization of the bending strain energy of the main beam as the main optimization target and the maximization of the reaction force of the side span support as the secondary optimization target, the bending strain energy of each section of the main beam and the adjustment vector Y are obtained; the influence matrix C of the adjustment vector-adjusted vector is determined, and the corresponding relationship between multiple design variables and multiple optimization targets is obtained as CX=Y. Based on the constraint conditions, the fitness function is established, and the bending strain energy and the support reaction force are processed respectively by the next construction method, and the fitness sub-function representing the bending strain energy and the fitness sub-function representing the support reaction force are obtained; ... The fitness function takes the sum of each fitness sub-function, and uses the penalty function method to introduce the constraint conditions of step four to obtain the final fitness function; the design variables are initialized; the initial cable force and initial pressure weight are calculated, and the initial cable force and initial pressure weight are substituted into the finite element model to obtain the initial bending strain energy and the initial side span support reaction force, and then the initial value of the fitness function is obtained; the genetic algorithm is used for optimization iteration; the genetic algorithm is used to maximize the fitness function as the optimization goal, and iterative optimization is performed to finally obtain a set of solutions, so that the cable-stayed bridge reaches the global optimal bridge state and the optimization is completed; thereby, the initial optimization scheme is obtained;

[0050] Step 4: Analyze the construction monitoring data and update the finite element model;

[0051] The steps for updating the finite element model are as follows: parse the construction monitoring data to determine the inspection data of the cable-stayed bridge that has been constructed; adjust the parameters of the finite element unit based on the inspection data. During the construction of the cable-stayed bridge, the construction progress is monitored by real-time monitoring means to form construction monitoring data. By analyzing the construction monitoring data, the inspection data of the cable-stayed bridge that has been constructed is extracted, and the parameters of the finite element unit are updated and adjusted on this basis. Among them, the inspection data includes: the size parameters and material density parameters of the constructed part of the cable-stayed bridge, and the updated and adjusted parameters include: size parameters and weight parameters, parameters corresponding to the constructed cable force configuration, etc.

[0052] Step 5: Analyze again and update the initial optimization plan.

[0053] The updated finite element model is analyzed to determine the known parameters, and the known parameters are substituted into the production steps of the initial optimization scheme and re-executed to update the initial optimization scheme.

[0054] In one embodiment, the cable-stayed bridge multi-design variable comprehensive optimization method further includes:

[0055] Release the updated finite element model and initial optimization solution;

[0056] An expert solution for receiving feedback from a pre-configured expert client;

[0057] Evaluate the expert solution and the updated solution of the initial optimization solution according to the pre-configured evaluation method;

[0058] Select the one with higher ratings as the final solution.

[0059] The working principle and beneficial effects of the above technical solution are:

[0060] Through the scheme collection, the collected schemes and the updated schemes are evaluated separately to select the best scheme for implementation; wherein, the evaluation method includes: determining the difference between the two schemes and the initial optimization scheme, and calculating the difference score; simulating the use of the cable-stayed bridges corresponding to the two schemes respectively to obtain the simulation score; taking the weighted sum of the difference score and the simulation score as the total evaluation value; taking the total evaluation value as the final evaluation result; wherein, the difference score is the score corresponding to the various dimensions, quality and other parameters of the optimized model corresponding to the scheme; the score can be obtained by querying the pre-configured score table corresponding to the parameter value of the difference parameter; the simulation score includes the scores of the service life, the maximum weight of the vehicle passing through and other aspects.

[0061] In one embodiment, the number of configured expert terminals may be multiple. When there are multiple expert terminals, the number of received expert solutions is not unique. First, the expert solutions need to be screened to obtain expert solutions to be evaluated together with the updated solution. The screening includes: extracting difference parameters between the expert solution and the updated initial optimization solution; determining the difference scores corresponding to the difference parameters according to the difference score table corresponding to the difference parameters; calculating the similarity between the expert solutions, and screening out the expert solution with the smallest sum of difference scores and / or the largest sum of similarities; when the screened expert solutions are still not unique, querying the pre-configured first priority value determination table with the sum of difference scores to determine the first priority value, and querying the pre-configured second priority value determination table with the sum of similarities to determine the second priority value; and taking the expert solution with the largest sum of the first priority value and the second priority value as the reserved solution;

[0062] The similarity between expert solutions is calculated by extracting the numerical values ​​of the parameters of each cable-stayed bridge in the expert solution, filling them into a pre-configured template to form a parameter data set, and then calculating the similarity between the parameter data sets. The similarity calculation method can adopt the cosine similarity calculation method, etc.

[0063] Since the update is performed during the construction process, if the update frequency is too fast, it is easy to cause serious waste of computing power. In one embodiment, the multi-design variable comprehensive optimization method for a cable-stayed bridge further includes:

[0064] Before re-analysis or updating of the finite element model, the construction monitoring data is analyzed to determine whether it meets the pre-configured first trigger node. If it meets the pre-configured first trigger node, it is updated or analyzed again. The first trigger node is configured by professionals, for example, the corresponding construction stage when each inclined cable is configured;

[0065] However, since the first trigger node is configured at the completion stage of the construction of important components, when the construction difference is too large during the construction process, timely optimization cannot be performed. Therefore, a difference threshold is configured to implement monitoring of the difference between the actual construction and the optimization plan. When the difference exceeds the difference threshold, it triggers update and re-analysis to achieve timely optimization. The difference value is calculated based on the difference of each constructed parameter after construction, and the difference value table corresponding to each parameter is queried to determine the difference value corresponding to each parameter; the sum of the difference values ​​corresponding to each parameter is used as the difference between the actual construction and the optimization plan; the difference threshold is configured in advance; and a correction value is also configured, which is the same as the difference threshold. When the optimization is triggered by a difference threshold, an additional correction value needs to be subtracted in the next difference value calculation.

[0066] In order to make the configuration of the difference threshold more reasonable, a threshold adjustment value can also be configured. The threshold adjustment value is obtained by analyzing the same or similar cable-stayed bridge projects. The specific analysis steps are as follows:

[0067] The projects to be analyzed are divided into a first analysis group and a second analysis group according to whether optimization analysis is to be performed;

[0068] Constructing a first analysis parameter set based on the differences between various parameters of the completed cable-stayed bridge of the project in the first analysis group and various parameters of the cable-stayed bridge in the design data;

[0069] Based on the first analysis parameter set, a corresponding associated analysis coefficient value is retrieved from a preset analysis library;

[0070] Constructing a second analysis parameter set based on the differences between various parameters of the completed cable-stayed bridge of the project in the second analysis group and various parameters of the cable-stayed bridge in the initial optimization solution;

[0071] Based on the second analysis parameter set, a corresponding associated analysis coefficient value is retrieved from a preset analysis library;

[0072] Calculate the average value of the analysis coefficient values ​​corresponding to each project in the first analysis group as the first value;

[0073] Calculate the average value of the analysis coefficients corresponding to the projects in the second analysis group as the second value;

[0074] Calculate the sum of the products of the first value and the second value and the pre-configured first coefficient and the second coefficient respectively, and then query the pre-configured threshold adjustment value determination table through the calculated value to determine the threshold adjustment value;

[0075] The analysis library is pre-configured, and the second analysis parameter set or the first analysis parameter is associated with the analysis coefficient value in a one-to-one correspondence; the threshold adjustment value is used to adjust the difference threshold to make the trigger judgment more reasonable and effective. The judgment of similar or identical projects is to calculate the similarity between the identification parameter sets of the finite element model corresponding to the project. When the similarity is greater than the preset similarity threshold, the two are judged to be similar or identical projects.

[0076] The present invention also provides a cable-stayed bridge multi-design variable comprehensive optimization system, such as Figure 2 As shown, it includes: a finite element model building module 1, a model analysis module 2, an initial optimization module 3 and an update module 4; wherein, the finite element model building module 1 analyzes the design data of the cable-stayed bridge and builds a finite element model; the model analysis module 2 analyzes the finite element model and determines multiple design variables and constraints; the initial optimization module 3 determines the initial optimization scheme based on multiple design variables and constraints; the update module 4 analyzes the construction monitoring data, updates the finite element model, performs analysis again, and updates the initial optimization scheme.

[0077] The steps of constructing the finite element model in the finite element model construction module 1 are as follows:

[0078] Generate a 3D model of the cable-stayed bridge based on the design data;

[0079] Perform finite element segmentation on the three-dimensional model, obtain finite element units and configure the parameters of the finite element units.

[0080] The model analysis module 2 performs the following operations:

[0081] Determine multiple design variables from the finite element model according to a pre-configured determination method of each multiple design variable;

[0082] Extract features from the finite element model and construct an identification parameter set based on the extracted feature parameters;

[0083] According to the identification parameter set, the corresponding constraint condition is retrieved from the pre-configured constraint condition library.

[0084] Among them, the updating steps of updating module 4 to update the finite element model are as follows:

[0085] The parameters of the corresponding finite element units are adjusted based on the inspection data of the completed components and the inspection data of the components under construction extracted from the construction monitoring data.

[0086] Among them, the cable-stayed bridge multi-design variable comprehensive optimization system also includes: a publishing module, a receiving module and an evaluation and selection module;

[0087] Among them, the publishing module publishes the updated finite element model and the initial optimization plan; the receiving module receives the expert plan with feedback from the pre-configured expert end; the evaluation and selection module evaluates the expert plan and the updated plan of the initial optimization plan according to the pre-configured evaluation method; and the plan with the higher evaluation is selected as the final plan.

[0088] In one embodiment, the cable-stayed bridge multi-design variable comprehensive optimization system further includes: a trigger module;

[0089] The trigger module performs the following operations:

[0090] Before re-analysis or updating of the finite element model, the construction monitoring data is analyzed to determine whether it meets the pre-configured first trigger node. If it meets the pre-configured first trigger node, it is updated or analyzed again. The first trigger node is configured by professionals.

[0091] and / or,

[0092] Configure a difference threshold to monitor the difference between the actual construction and the optimized solution. When the difference exceeds the difference threshold, it triggers an update and re-analysis.

[0093] The difference value is calculated by searching the difference value table corresponding to each parameter based on the difference value of each constructed parameter after construction, and determining the difference value corresponding to each parameter; the sum of the difference values ​​corresponding to each parameter is used as the difference value between the actual construction and the optimization plan; the difference threshold is configured in advance;

[0094] Configure a correction value. The correction value is the same as the difference threshold. When an optimization is triggered by a difference threshold, an additional correction value needs to be subtracted when calculating the difference value next time.

[0095] Configure a threshold adjustment value, which is obtained by analyzing the same or similar cable-stayed bridge projects. The specific analysis steps are as follows:

[0096] The projects to be analyzed are divided into a first analysis group and a second analysis group according to whether optimization analysis is to be performed;

[0097] Constructing a first analysis parameter set based on the differences between various parameters of the completed cable-stayed bridge of the project in the first analysis group and various parameters of the cable-stayed bridge in the design data;

[0098] Based on the first analysis parameter set, a corresponding associated analysis coefficient value is retrieved from a preset analysis library;

[0099] Constructing a second analysis parameter set based on the differences between various parameters of the completed cable-stayed bridge of the project in the second analysis group and various parameters of the cable-stayed bridge in the initial optimization solution;

[0100] Based on the second analysis parameter set, a corresponding associated analysis coefficient value is retrieved from a preset analysis library;

[0101] Calculate the average value of the analysis coefficient values ​​corresponding to each project in the first analysis group as the first value;

[0102] Calculate the average value of the analysis coefficients corresponding to the projects in the second analysis group as the second value;

[0103] Calculate the sum of the products of the first value and the second value and the pre-configured first coefficient and the second coefficient respectively, and query the pre-configured threshold adjustment value determination table through the calculated value to determine the threshold adjustment value;

[0104] Among them, the analysis library is pre-configured, and the second analysis parameter set or the first analysis parameter is associated with the analysis coefficient value in a one-to-one correspondence; the threshold adjustment value is used to adjust the difference threshold, wherein the judgment of similar or identical projects is through the similarity between the identification parameter sets of the finite element models corresponding to the calculation projects, and when the similarity is greater than the preset similarity threshold, the two are judged to be similar or identical projects.

[0105] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A multi-design variable comprehensive optimization method for a cable-stayed bridge, characterized in that: include: Analyze the design data of cable-stayed bridges and construct finite element models; Analyze finite element models to determine multiple design variables and constraints; Determine the initial optimization solution based on multiple design variables and constraints; Analyze construction monitoring data and update the finite element model; Analyze again and update the initial optimization plan; Before re-analysis or updating of the finite element model, the construction monitoring data is analyzed to determine whether it meets the pre-configured first trigger node. If it meets the pre-configured first trigger node, it is updated or analyzed again; wherein the first trigger node is configured by professionals; Configure a difference threshold to monitor the difference between the actual construction and the optimized solution. When the difference exceeds the difference threshold, it triggers an update and re-analysis. The difference value is calculated by searching the difference value table corresponding to each parameter based on the difference value of each constructed parameter after construction, and determining the difference value corresponding to each parameter; the sum of the difference values ​​corresponding to each parameter is used as the difference value between the actual construction and the optimization plan; the difference threshold is configured in advance; Configure a correction value. The correction value is the same as the difference threshold. When an optimization is triggered by a difference threshold, an additional correction value needs to be subtracted when calculating the difference value next time. A threshold adjustment value is configured, and the threshold adjustment value is obtained by analyzing the same or similar cable-stayed bridge projects; The specific analysis steps of the threshold adjustment value are as follows: The projects to be analyzed are divided into a first analysis group and a second analysis group according to whether optimization analysis is to be performed; Constructing a first analysis parameter set based on the differences between various parameters of the completed cable-stayed bridge of the project in the first analysis group and various parameters of the cable-stayed bridge in the design data; Based on the first analysis parameter set, a corresponding associated analysis coefficient value is retrieved from a preset analysis library; Constructing a second analysis parameter set based on the differences between various parameters of the completed cable-stayed bridge of the project in the second analysis group and various parameters of the cable-stayed bridge in the initial optimization solution; Based on the second analysis parameter set, a corresponding associated analysis coefficient value is retrieved from a preset analysis library; Calculate the average value of the analysis coefficient values ​​corresponding to each project in the first analysis group as the first value; Calculate the average value of the analysis coefficients corresponding to the projects in the second analysis group as the second value; Calculate the sum of the products of the first value and the second value and the pre-configured first coefficient and the second coefficient respectively, and query the pre-configured threshold adjustment value determination table through the calculated value to determine the threshold adjustment value; Among them, the analysis library is pre-configured, and the second analysis parameter set or the first analysis parameter is associated with the analysis coefficient value in a one-to-one correspondence; the threshold adjustment value is used to adjust the difference threshold, wherein the judgment of similar or identical projects is through the similarity between the identification parameter sets of the finite element models corresponding to the calculation projects, and when the similarity is greater than the preset similarity threshold, the two are judged to be similar or identical projects.

2. The cable-stayed bridge multi-design variable comprehensive optimization method according to claim 1, characterized in that: The steps for constructing the finite element model are as follows: Generate a 3D model of the cable-stayed bridge based on the design data; Perform finite element segmentation on the three-dimensional model, obtain finite element units and configure the parameters of the finite element units.

3. The cable-stayed bridge multi-design variable comprehensive optimization method according to claim 1, characterized in that: Analyze finite element models to determine multiple design variables and constraints, including: Determine multiple design variables from the finite element model according to a pre-configured determination method of each multiple design variable; Extract features from the finite element model and construct an identification parameter set based on the extracted feature parameters; According to the identification parameter set, the corresponding constraint condition is retrieved from the pre-configured constraint condition library.

4. The cable-stayed bridge multi-design variable comprehensive optimization method according to claim 1, characterized in that: The steps to update the finite element model are as follows: The parameters of the corresponding finite element units are adjusted based on the inspection data of the completed components and the inspection data of the components under construction extracted from the construction monitoring data.

5. The cable-stayed bridge multi-design variable comprehensive optimization method according to claim 1, characterized in that: Also includes: Release the updated finite element model and initial optimization solution; An expert solution for receiving feedback from a pre-configured expert client; Evaluate the expert solution and the updated solution of the initial optimization solution according to the pre-configured evaluation method; Select the one with higher ratings as the final solution.

6. A cable-stayed bridge multi-design variable comprehensive optimization system, characterized in that: include: Finite element model building module, model analysis module, initial optimization module and update module; among them, the finite element model building module analyzes the design data of the cable-stayed bridge and builds a finite element model; the model analysis module analyzes the finite element model and determines multiple design variables and constraints; the initial optimization module determines the initial optimization plan based on multiple design variables and constraints; the update module analyzes the construction monitoring data, updates the finite element model, analyzes it again, and updates the initial optimization plan; Also includes: a trigger module; The trigger module performs the following operations: Before re-analysis or updating of the finite element model, the construction monitoring data is analyzed to determine whether it meets the pre-configured first trigger node. If it meets the pre-configured first trigger node, it is updated or analyzed again. The first trigger node is configured by professionals. and / or, Configure a difference threshold to monitor the difference between the actual construction and the optimized solution. When the difference exceeds the difference threshold, it triggers an update and re-analysis. The difference value is calculated by searching the difference value table corresponding to each parameter based on the difference value of each constructed parameter after construction, and determining the difference value corresponding to each parameter; the sum of the difference values ​​corresponding to each parameter is used as the difference value between the actual construction and the optimization plan; the difference threshold is configured in advance; Configure a correction value. The correction value is the same as the difference threshold. When an optimization is triggered by a difference threshold, an additional correction value needs to be subtracted when calculating the difference value next time. A threshold adjustment value is configured, and the threshold adjustment value is obtained by analyzing the same or similar cable-stayed bridge projects; The specific analysis steps of the threshold adjustment value are as follows: The projects to be analyzed are divided into a first analysis group and a second analysis group according to whether optimization analysis is to be performed; Constructing a first analysis parameter set based on the differences between various parameters of the completed cable-stayed bridge of the project in the first analysis group and various parameters of the cable-stayed bridge in the design data; Based on the first analysis parameter set, a corresponding associated analysis coefficient value is retrieved from a preset analysis library; Constructing a second analysis parameter set based on the differences between various parameters of the completed cable-stayed bridge of the project in the second analysis group and various parameters of the cable-stayed bridge in the initial optimization solution; Based on the second analysis parameter set, a corresponding associated analysis coefficient value is retrieved from a preset analysis library; Calculate the average value of the analysis coefficient values ​​corresponding to each project in the first analysis group as the first value; Calculate the average value of the analysis coefficients corresponding to the projects in the second analysis group as the second value; Calculate the sum of the products of the first value and the second value and the pre-configured first coefficient and the second coefficient respectively, and query the pre-configured threshold adjustment value determination table through the calculated value to determine the threshold adjustment value; Among them, the analysis library is pre-configured, and the second analysis parameter set or the first analysis parameter is associated with the analysis coefficient value in a one-to-one correspondence; the threshold adjustment value is used to adjust the difference threshold, wherein the judgment of similar or identical projects is through the similarity between the identification parameter sets of the finite element models corresponding to the calculation projects, and when the similarity is greater than the preset similarity threshold, the two are judged to be similar or identical projects.

7. The cable-stayed bridge multi-design variable comprehensive optimization system according to claim 6, characterized in that: The steps of constructing the finite element model in the finite element model building module are as follows: Generate a 3D model of the cable-stayed bridge based on the design data; Perform finite element segmentation on the three-dimensional model, obtain finite element units and configure the parameters of the finite element units.

8. The cable-stayed bridge multi-design variable comprehensive optimization system according to claim 6, characterized in that: The model analysis module performs the following operations: Determine multiple design variables from the finite element model according to a pre-configured determination method of each multiple design variable; Extract features from the finite element model and construct an identification parameter set based on the extracted feature parameters; According to the identification parameter set, the corresponding constraint condition is retrieved from the pre-configured constraint condition library.

9. The cable-stayed bridge multi-design variable comprehensive optimization system according to claim 6, characterized in that: The update steps of the update module are as follows: The parameters of the corresponding finite element units are adjusted based on the inspection data of the completed components and the inspection data of the components under construction extracted from the construction monitoring data.

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