A multi-objective optimization method and system for a comprehensive transportation hub transfer component design scheme

Abstract

A multi-objective optimization method and system for a comprehensive transportation hub conversion component design scheme, comprising the following specific steps: based on the building information model, generating the detailed structure of the comprehensive transportation hub conversion component under multiple design schemes, extracting the construction materials, machinery, types of work and processes under different design schemes, and constructing a comprehensive cost library and a process total time model; through a structure analysis software, establishing a generalized steel-concrete composite beam bending / shear bearing capacity calculation formula, combining the cross-section properties and design parameters to quantify the structure performance; taking the maximum bending bearing capacity, the maximum shear bearing capacity, the minimum construction cost and the shortest construction period as four-dimensional objective functions, using the grey wolf algorithm (GWO) for multi-objective optimization solution, and outputting the optimal design scheme. The present application realizes the cost-construction period-performance collaborative optimization by fusing BIM modeling, structure analysis and intelligent algorithm, improves the structure safety and economy, and is suitable for the design and construction decision of comprehensive transportation hub engineering.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of building engineering design and construction optimization, and more particularly to a multi-objective optimization method and system for a comprehensive transportation hub conversion component design scheme. BACKGROUND

[0002] Comprehensive transportation hub projects often have multiple building forms, covering high-speed rail station buildings, subway station halls, airport terminals, etc., and there are significant differences in their respective construction standards. The load transfer path between different building systems is extremely complex, and the conversion mode is also diverse.

[0003] Taking a common situation as an example, in the process of actively promoting the functional construction of comprehensive transportation hubs, the problem of sharing the same corridor by elevated bridges and underground rail transit often arises, and even complex situations of underground stations and airport elevated lines may occur. In such scenarios, the organic integration of above-ground and underground spaces for construction is undoubtedly an effective solution. However, it is not easy to truly achieve this goal, which puts high demands on the design and construction of load transfer components between the two systems. Not only do these transfer components need to be stable and effective in load transfer, but also the feasibility and efficiency of construction must be fully considered.

[0004] At the same time, while pursuing performance improvement, we must also focus on cost control and benefit improvement in project construction. Reducing construction costs, improving resource utilization efficiency, and thus improving the overall value of the project have become a top priority.

[0005] In view of this, there is an urgent need for an innovative method that not only significantly improves the load-carrying capacity of comprehensive transportation hub conversion components, ensuring the safety and stability of the structure, but also fully coordinates the reduction of total costs during the design and construction phases, optimizes resource allocation, and effectively shortens the construction period to meet the increasingly tight urban construction needs and people's expectations for convenient and efficient transportation. SUMMARY

[0006] To overcome the problems in the related art, the present application provides a multi-objective optimization method and system for a comprehensive transportation hub conversion component design scheme, specifically a method and system for design scheme optimization and component reliability evaluation during the component design phase, with construction period, cost, and cross-sectional generalized ultimate bearing capacity as control factors.

[0007] The technical solution of the present application is as follows: a multi-objective optimization method for a comprehensive transportation hub conversion component design scheme, comprising the following specific steps:

[0008] Step S1: Import the building information model of the comprehensive transportation hub conversion component, and generate the detailed structure of the comprehensive transportation hub conversion component under different design schemes based on BIM software;

[0009] Step S2: determining the number of types of construction materials and their consumption, the number of types of construction machinery shifts and their consumption, the number of types of work and their workday consumption, the number of construction steps and the corresponding bill of quantities of different construction steps under different design schemes according to the building information model, and forming a comprehensive cost library and a total process time of the comprehensive transportation hub conversion component based on the engineering quota under different design schemes;

[0010] Step S3: obtaining the detailed structure of the comprehensive transportation hub conversion component under different design schemes through the BIM software, importing the engineering structure analysis software to generate a local finite element model, obtaining the design parameters of the comprehensive transportation hub conversion component under different design schemes, and establishing the calculation formula of the bending resistance of the cross-section generalized steel-concrete composite beam and the shear resistance of the cross-section generalized steel-concrete composite beam based on the design parameters;

[0011] Step S4: according to the comprehensive cost library, the total process time and the most unfavorable cross-section information of the comprehensive transportation hub conversion component under different design schemes, establishing a first objective function with the maximum bending resistance of the cross-section generalized steel-concrete composite beam as the target, a second objective function with the maximum shear resistance of the cross-section generalized steel-concrete composite beam as the target, a third objective function with the minimum construction cost of the comprehensive transportation hub conversion component as the target, and a fourth objective function with the shortest construction period of the comprehensive transportation hub conversion component as the target, obtaining a multi-objective function, and calculating to obtain the optimal design scheme of the comprehensive transportation hub conversion component.

[0012] In the embodiment, in step S2, the comprehensive cost library includes: the number of types of work and their workday consumption, the number of types of construction materials and their consumption, and the number of types of construction machinery shifts and their consumption of the comprehensive transportation hub conversion component under different design schemes, and the corresponding engineering quota, the engineering quota of the comprehensive cost library includes the workday wage, the material unit price, and the work unit price of the mechanical shift under different design schemes;

[0013] The total process time includes: the number of construction steps of the comprehensive transportation hub conversion component under different design schemes, the corresponding bill of quantities of different construction steps, and the corresponding engineering quota, and the engineering quota of the total process time is the quota time corresponding to different construction steps.

[0014] In the embodiment, the expression of the comprehensive cost library is:

[0015] ,

[0016] ,

[0017] ,

[0018] ,

[0019] ,

[0020] In the formula, P j is the construction cost under the jth design scheme, U j is the material cost under the jth design scheme, V j is the construction machinery cost under the jth design scheme, W j is the labor cost under the jth design scheme, the engineering quota SP n is the unit price of the nth material, J n is the production unit price of the nth material, D n is the transportation distance of the nth material, Y n is the transportation unit price of the nth material, is the consumption of the nth material under the jth design scheme, the engineering quota TP n is the work unit price of the nth type of machinery shift, is the shift consumption of the nth type of machinery under the jth design scheme, the engineering quota KP n is the workday wage of the nth type of work, is the workday consumption of the nth type of work under the jth design scheme, a represents the number of types of construction materials under the jth design scheme, b represents the number of types of machinery shifts under the jth design scheme, and c represents the number of types of work under the jth design scheme.

[0021] In the embodiment, the expression of the total process time is:

[0022] ,

[0023] ,

[0024] In the formula, T j is the construction period under the jth design scheme, is the total time of the nth construction step under the jth design scheme, d represents the number of construction steps under the jth design scheme, and the engineering quota is the quota time corresponding to the nth construction step under the jth design scheme, is the bill of quantities corresponding to the nth construction step under the jth design scheme.

[0025] In the embodiment, in step S3, it is assumed that the bending resistance of the cross-section generalized steel-concrete composite beam is M u , and the shear resistance of the cross-section generalized steel-concrete composite beam is V. The calculation formulae of the bending resistance of the cross-section generalized steel-concrete composite beam and the shear resistance of the cross-section generalized steel-concrete composite beam are established based on the design parameters of the comprehensive transportation hub conversion member and the cross-section properties of the comprehensive transportation hub conversion member:

[0026] ,

[0027] ,

[0028] ,

[0029] in, ,

[0030] ,

[0031] In the formula, α s The design parameters for the transfer components of the integrated transportation hub, used as the determination coefficient for the composite beam section, include: the calculated width b of the concrete wing plate. e Composite beam section height h0, plastic neutral axis height h sc The distance h from the centroid of the steel beam section to the edge of the compression concrete. 0s Area A of tensile reinforcement s Area of ​​compressed reinforcing steel Thickness of the protective layer on the upper flange of the steel section Height of concrete compression zone x c d, the distance from the centroid of the steel section to the plastic neutral axis; z, the distance from the point of application of the resultant force of the tensile reinforcement to the neutral axis. s The distance from the point of application of the resultant force of the compressed steel bars to the neutral axis , Stirrup ratio The angle α between the concrete diagonal compression member and the horizontal axis in the truss model; the angle θ between the concrete diagonal compression member and the horizontal axis in the arch model; and the relative height of the compression zone of the concrete in the composite beam section. Shear span ratio of steel-concrete composite beams , thickness of steel beam web t w , height h of steel beam web w ;

[0032] The cross-sectional properties of the transfer components in an integrated transportation hub include the compressive concrete strength f. c Design value of tensile strength f of tensile reinforcement y Design value of compressive strength of reinforcing steel bars The tensile design strength f of the steel section s Ultimate tensile strength of steel section (N) s0 Elastic modulus E of structural steel s The maximum flexural bearing capacity M of the full-section yield of the steel section s0 Design value of tensile strength f of stirrups yv Concrete softening coefficient v and truss effective coefficient .

[0033] In this embodiment, in step S4, a multi-objective optimization function formula is established for the construction period, construction cost, flexural bearing capacity of the generalized steel-concrete composite beam, and shear bearing capacity of the generalized steel-concrete composite beam under different design schemes for the integrated transportation hub transfer components:

[0034] ,

[0035] ,

[0036] ,

[0037] ,

[0038] ,

[0039] ,

[0040] ,

[0041] ,

[0042] Where f1 is the formula for calculating the first objective function, f2 is the formula for calculating the second objective function, f3 is the formula for calculating the third objective function, and f4 is the formula for calculating the fourth objective function. For M u The nth design variable in Let n be the nth design variable in V. and These are all design parameters for the transfer components of integrated transportation hubs. For P j The nth design variable in For T j The nth design variable in and Let n be the constraint boundary of the nth design variable in the first objective function. and The constraint boundary of the nth design variable in the second objective function. and Let n be the constraint boundary of the nth design variable in the third objective function. and This is the constraint boundary for the nth design variable of the fourth objective function.

[0043] In this embodiment, in step S4, the multi-objective optimization function is solved, and the optimal values ​​of objective functions f1, f2, f3 and f4 and their corresponding variable values ​​are solved using the Grey Wolf Algorithm (GWO).

[0044] In the embodiment, the input end of the grey wolf algorithm includes a target function, variable dimension, constraint boundary of variable, grey wolf population number, maximum iteration number and convergence factor, and the output end of the algorithm is the optimal value of the target function and the corresponding variable value.

[0045] The target function is f1, f2, f3 and f4, the variable dimension is , , and the total number of variables, the specific values of , , , , , , and are set as the constraint boundary of the variable, the grey wolf population number is 200, the maximum iteration number is set to 500, the convergence factor is set to 2, and after calculation by the grey wolf algorithm, the optimal values of the four target functions f1, f2, f3 and f4 and the corresponding design variables , , and are obtained.

[0046] The application also includes a multi-objective optimization system for a comprehensive transportation hub conversion component design scheme, which is used to execute the multi-objective optimization method of the comprehensive transportation hub conversion component design scheme, and includes a building information model acquisition module, which is used to generate detailed structures of the comprehensive transportation hub conversion component under different design schemes based on a BIM software according to a target component BIM model, determine construction material types and quantities, construction machinery shift types and quantities, the number of types of work and workday consumption, the number of construction steps and the corresponding bill of quantities of different construction steps, and send the bill of quantities to an optimization calculation module;

[0047] A structure analysis module is used to calculate the mechanical properties of the component and obtain the most unfavorable section position.

[0048] A storage module is used to store basic data.

[0049] A function module is used to establish a connection between the bill of quantities of the target component and the basic data in the storage module, establish a first target function with the maximum bending resistance of the cross-section generalized steel-concrete composite beam as the target, establish a second target function with the maximum shear resistance of the cross-section generalized steel-concrete composite beam as the target, establish a third target function with the minimum construction cost of the comprehensive transportation hub conversion component as the target, and establish a fourth target function with the shortest construction period of the comprehensive transportation hub conversion component as the target, to obtain a multi-objective function.

[0050] An optimization calculation module is used for solving multi-objective functions in the function module to obtain an optimal comprehensive traffic hub conversion component design scheme;

[0051] An expression module is used for displaying the optimization calculation result of the optimization calculation module on a page for a user to view.

[0052] In combination with all the technical solutions described above, the present application has the following beneficial effects:

[0053] 1. The material, transportation, mechanical equipment, labor, unit price, engineering consumption quota and most unfavorable section information in the design stage of the comprehensive traffic hub conversion component are taken as parameters to form an engineering quota-based comprehensive cost database and total process time, which are integrated into a BIM technology together with a generalized steel-concrete composite beam section bearing capacity calculation model to form a comprehensive system platform. Thus, the system has the functions of bearing capacity checking, engineering quantity statistics, construction scheme selection according to the building information model, resource input determination according to the construction scheme, and further construction period, cost and section bearing capacity estimation of the comprehensive traffic hub conversion component in the design stage of the component. Meanwhile, the design scheme is optimized with the targets of low cost, short construction period and excellent mechanical properties, and the safety and reliability of the scheme are evaluated, so that the optimized design scheme not only meets the requirements of high-performance components under normal use conditions, but also saves cost and shortens the construction period.

[0054] 2. The present application provides a new means for the optimization design of the comprehensive traffic hub conversion component, and provides a certain basis for the development of big data and intelligent construction in the future building industry, and proposes a method of multi-objective optimization of building performance, economy and environmental sustainability by combining BIM technology, parameterization driving, intelligent algorithm and neural network.

[0055] 3. The present application establishes a mutual restraint relationship among multiple targets, and solves the multi-objective optimization problem of building component performance by combining optimization algorithm and computer simulation.

[0056] 4. The present application utilizes the advantages of BIM parameterization driving to build the related indicators in the design and construction stages of the comprehensive traffic hub conversion component into variable parameters of the BIM model, and provides support for the optimization of the conversion component design method through efficient intelligent algorithm.

[0057] In summary, the application is distinguished from the traditional structure design optimization method, and BIM model and finite element analysis are combined, the construction engineering quantity list and section parameter information are determined, the comprehensive cost library based on engineering quota, the time of each process based on the quota, and the calculation model of the section bearing capacity of the general composite beam are combined to calculate the construction period-cost-section bearing capacity of the conversion component under various design construction schemes. Compared with the traditional evaluation method, the method is more comprehensive and simple. The section bearing capacity model is introduced into the multi-objective optimization model, the intelligent algorithm, BIM technology and cloud computing are organically combined, and a scientific and systematic multi-objective optimization design process is provided. BRIEF DESCRIPTION OF DRAWINGS

[0058] Figure 1 The flowchart of the application.

[0059] Figure 2 The module connection diagram of the system of the application. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical scheme and advantages of the application more clear and understandable, the application is further described in detail below in combination with the drawings and examples. It should be understood that the specific examples described herein are only used to explain the application, and are not used to limit the application. In addition, the technical features involved in each embodiment of the application described below can be combined with each other as long as they do not conflict with each other.

[0061] Example 1: The application provides a multi-objective optimization method for the design scheme of the conversion component of the comprehensive transportation hub, which simulates the construction scheme according to the "Highway Engineering Budget Quota" and counts the resource input under various construction schemes.

[0062] Specifically, as shown in Figure 1 The multi-objective optimization method for the design scheme of the conversion component of the comprehensive transportation hub provided by the application includes:

[0063] S1: Import the building information model of the conversion component of the comprehensive transportation hub, and generate the detailed structure of the conversion component of the comprehensive transportation hub under different design schemes based on the BIM software;

[0064] S2: Determine the type and quantity of construction materials and their consumption, the type and quantity of construction machinery shifts and their consumption, the number of types of work and their workday consumption, the number of construction steps, and the corresponding engineering quantity list of different construction steps under different design schemes, and form the comprehensive cost library and the total time of the process of the conversion component of the comprehensive transportation hub based on the engineering quota under different design schemes;

[0065] The comprehensive cost database comprises: the number of types of work and the work day consumption, the number of types of construction materials and the consumption, the number of types of construction mechanical shifts and the consumption, and the corresponding engineering quota of the comprehensive transportation hub conversion component under different design schemes, the engineering quota of the comprehensive cost database comprises the work day salary, the material unit price, and the work unit price of the mechanical shift under different design schemes;

[0066] The total process time comprises: the number of construction steps of the comprehensive transportation hub conversion component under different design schemes, the corresponding bill of quantities of different construction steps, and the corresponding engineering quota, and the engineering quota of the total process time is the quota time corresponding to different construction steps;

[0067] The expression of the comprehensive cost database is:

[0068] ,

[0069] ,

[0070] ,

[0071] ,

[0072] ,

[0073] In the formula, P j is the construction cost under the jth design scheme, U j is the material cost under the jth design scheme, V j is the construction mechanical cost under the jth design scheme, W j is the labor cost under the jth design scheme, the engineering quota SP n is the unit price of the nth material, J n is the production unit price of the nth material, D n is the transportation distance of the nth material, Y n is the transportation unit price of the nth material, is the consumption of the nth material under the jth design scheme, the engineering quota TP n is the work unit price of the nth type of mechanical shift, is the shift consumption of the nth type of mechanical shift under the jth design scheme, the engineering quota KP n is the work day salary of the nth type of work, is the work day consumption of the nth type of work under the jth design scheme, a represents the number of types of construction materials under the jth design scheme, b represents the number of types of mechanical shift under the jth design scheme, and c represents the number of types of work under the jth design scheme.

[0074] The expression of the total process time is:

[0075] ,

[0076] ,

[0077] In the formula, T j is the construction period under the jth design scheme, is the total time of the nth construction step under the jth design scheme, d represents the number of construction steps under the jth design scheme, and the engineering quota is the quota time corresponding to the nth construction step under the jth design scheme, is the bill of quantities corresponding to the nth construction step under the jth design scheme.

[0078] S3: Obtain the detailed structure of the comprehensive transportation hub transition component under different design schemes through a BIM software, import the engineering structure analysis software to generate a local finite element model, obtain the design parameters of the comprehensive transportation hub transition component under different design schemes, and establish the calculation formula of the bending resistance of the cross-section generalized steel-concrete composite beam and the shear resistance of the cross-section generalized steel-concrete composite beam based on the design parameters;

[0079] Optimize the design parameter values in combination with the “Design Specification for Steel-Concrete Composite Bridge”;

[0080] Let the bending resistance of the cross-section generalized steel-concrete composite beam be M u , and the shear resistance of the cross-section generalized steel-concrete composite beam be V. Based on the design parameters of the comprehensive transportation hub transition component and the cross-section properties of the comprehensive transportation hub transition component, the calculation formula of the bending resistance of the cross-section generalized steel-concrete composite beam and the shear resistance of the cross-section generalized steel-concrete composite beam is established:

[0081] ,

[0082] ,

[0083] ,

[0084] wherein, ,

[0085] ,

[0086] In the formula, α s is the cross-section determination coefficient of the composite beam, and the design parameters of the comprehensive transportation hub transition component include: the calculated width b e of the concrete wing plate, the cross-section height h0 of the composite beam, the plastic neutral axis height h sc , the distance h 0s from the steel beam cross-section centroid to the edge of the compressed concrete, and the tensile steel area As , area of compression reinforcement , cover of top flange of section steel , concrete compression zone height x c , distance d of section steel centroid to plastic neutral axis, distance z of tensile reinforcement force action point to neutral axis s , distance of compression reinforcement force action point to neutral axis , stirrup ratio , angle α of concrete inclined compression strut and horizontal axis in truss model, angle θ of concrete inclined compression strut and horizontal axis in arch model, relative compression zone height of concrete of composite beam section , shear span ratio of steel reinforced concrete beam , steel beam web thickness t w , steel beam web height h w ;

[0087] The cross-section properties of the comprehensive transportation hub conversion member include the compressive strength of the concrete f c , the tensile strength design value of the tensile reinforcement f y , the compressive strength design value of the compression reinforcement , the tensile design strength of the section steel f s , the ultimate tensile load N of the section steel cross-section s0 , the elastic modulus E of the section steel s , the maximum flexural load M of the full cross-section yielding of the section steel cross-section s0 , the tensile strength design value of the stirrup f yv , the concrete softening coefficient v and the truss effective coefficient .

[0088] S4: According to the comprehensive cost library, the total process time and the most unfavorable cross-section information of the comprehensive transportation hub conversion member under different design schemes, a first objective function is established with the maximum flexural bearing capacity of the cross-section general steel-concrete composite beam as the target, a second objective function is established with the maximum shear bearing capacity of the cross-section general steel-concrete composite beam as the target, a third objective function is established with the minimum construction cost of the comprehensive transportation hub conversion member as the target, and a fourth objective function is established with the shortest construction period of the comprehensive transportation hub conversion member as the target, to obtain a multi-objective function, and the optimal comprehensive transportation hub conversion member design scheme is calculated;

[0089] The multi-objective optimization function formula of the construction period, the construction cost, the flexural bearing capacity of the cross-section general steel-concrete composite beam and the shear bearing capacity of the cross-section general steel-concrete composite beam of the comprehensive transportation hub conversion member under different design schemes is established:

[0090] ,

[0091] ,

[0092] ,

[0093] ,

[0094] ,

[0095] ,

[0096] ,

[0097] ,

[0098] wherein f1 is a calculation formula of the first objective function, f2 is a calculation formula of the second objective function, f3 is a calculation formula of the third objective function, f4 is a calculation formula of the fourth objective function, is the nth design variable in M u , is the nth design variable in V, and are design parameters of the comprehensive transportation hub conversion component, is the nth design variable in P j , is the nth design variable in T j , and are constraint boundaries of the nth design variable of the first objective function, and are constraint boundaries of the nth design variable of the second objective function, and are constraint boundaries of the nth design variable of the third objective function, and are constraint boundaries of the nth design variable of the fourth objective function.

[0099] The multi-objective optimization function is solved, and the grey wolf optimization (GWO) is used to solve the optimal values of the objective functions f1, f2, f3 and f4 and the corresponding variable values.

[0100] In the embodiment, the input end of the grey wolf optimization includes the objective function, the variable dimension, the constraint boundary of the variable, the number of grey wolf populations, the maximum number of iterations and the convergence factor, and the output end of the algorithm is the optimal value of the objective function and the corresponding variable value.

[0101] The objective function is f1, f2, f3 and f4, the variable dimension is , , and the total number of variables, and , , , , , , and The specific values of the four objective functions f1, f2, f3 and f4 and the corresponding design variables of the grey wolf algorithm are calculated as the constraint boundary of the variable, the number of grey wolf population is 200, the maximum number of iterations is set to 500, and the convergence factor is set to 2, and the optimal values of the four objective functions f1, f2, f3 and f4 and the corresponding design variables , , and .

[0102] Example 2:

[0103] As shown in Figure 2 , the application also includes a system for implementing the above method, comprising:

[0104] The building information model acquisition module 1 is used to import the building information model of the comprehensive transportation hub conversion component, generate the detailed structure of the comprehensive transportation hub conversion component under different design schemes based on the BIM software, determine the type and quantity of construction materials, the type and quantity of construction machinery shifts, the number of types of work and the consumption of work days, the number of construction steps and the corresponding bill of quantities of different construction steps according to the target component BIM model, and send the bill of quantities to the optimization calculation module 5;

[0105] The structure analysis module 2 is used to calculate the mechanical properties of the component and obtain the most unfavorable section position;

[0106] Specifically, according to the component arrangement diagram derived from the BIM model, a transmission interface is established, parameterized modeling is performed in the abaqus software, the most unfavorable section position of the component is calculated and analyzed, and the result is returned to the BIM model to generate section arrangement information; the finite element calculation model in BIM and the visualization operation function of the section stress distribution are created;

[0107] The storage module 3 is used to store the basic data;

[0108] Specifically, the basic data is stored in this part, and the stored basic data includes the comprehensive cost library of the comprehensive transportation hub conversion component, the total process time and the most unfavorable section information; the most unfavorable section information includes the section type, the design parameter, the material attribute and the variable parameter distribution for reliability calculation; the basic data is stored in the basic database, the basic database can be modified at any time, new basic data can be added, and the data can be imported in the form of Excel table;

[0109] The function module 4 is configured to establish a connection between the bill of quantities of the target component and the basic data of the basic database, and to establish a first target function with the maximum bending resistance of the cross-section generalized steel-concrete composite beam as the target, a second target function with the maximum shear resistance of the cross-section generalized steel-concrete composite beam as the target, a third target function with the minimum construction cost of the comprehensive transportation hub conversion component as the target, and a fourth target function with the shortest construction period of the comprehensive transportation hub conversion component as the target, so as to obtain a multi-target function.

[0110] The optimization calculation module 5 is configured to solve the multi-target function in the function module 4, and to calculate an optimal design scheme of the comprehensive transportation hub conversion component.

[0111] The multi-target optimization function is solved by using a grey wolf optimization (GWO) algorithm, the input end of the GWO algorithm includes the target function, the variable dimension, the constraint boundary of the variable, the number of grey wolf populations, the maximum number of iterations, and a convergence factor, and the output end of the algorithm is the optimal value of the target function and the corresponding variable value.

[0112] The target functions are f1, f2, f3, and f4, the variable dimension is , , and the total number of variables, the specific values of , , , , , , and are set as the constraint boundary of the variable, the number of grey wolf populations is 200, the maximum number of iterations is set to 500, the convergence factor is set to 2, and after the GWO algorithm is calculated, the optimal values of the four target functions f1, f2, f3, and f4 and the optimal values of the corresponding design variables , , and are output.

[0113] The expression module 6 is configured to display the optimization calculation result of the optimization calculation module 5 on a page for a user to view.

[0114] The display mode of the expression module 6 can be in the form of a pie chart, a line chart, or a table, so that the user can view from multiple angles.

[0115] The application further includes an electronic device including at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, the processor being configured to execute the computer program to implement the steps in the multi-target optimization method for the design scheme of the comprehensive transportation hub conversion component.

[0116] The application also includes a computer readable storage medium storing a computer program for implementing the steps in the multi-objective optimization method for integrated transport hub transfer member design scheme.

[0117] The application also includes a computer program product, when the computer program product is run on an electronic device, causes the electronic device to execute the steps in the multi-objective optimization method for integrated transport hub transfer member design scheme.

[0118] The integrated unit, if implemented in the form of a software functional unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the application can implement all or part of the processes in the above-mentioned embodiment methods, which can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by a processor. The computer program includes computer program code, which can be in the form of source code, object code, executable files or some intermediate forms, etc. The computer readable medium at least includes any entity or device capable of carrying the computer program code to the photographing device / terminal equipment, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, such as U disk, mobile hard disk, magnetic disk or optical disk, etc.

[0119] The above is only a preferred specific embodiment of the application, but the protection scope of the application is not limited thereto, and any modification, equivalent replacement and improvement within the technical range disclosed by the application and within the spirit and principle of the application should be covered within the protection scope of the application.

Claims

1. A multi-objective optimization method for integrated transport hub transfer member design scheme, characterized in that, Comprise the following specific steps: Step S1: Import the building information model of the comprehensive transportation hub conversion component, and generate the detailed structure of the comprehensive transportation hub conversion component under different design schemes based on the BIM software; Step S2: Determine the type and quantity of construction materials and their consumption, the type and quantity of construction machinery shifts and their consumption, the number of types of work and their workday consumption, the number of construction steps, and the corresponding bill of quantities of different construction steps according to the building information model under different design schemes, and form the comprehensive cost library and the total process time of the comprehensive transportation hub conversion component based on the engineering quota under different design schemes; The comprehensive cost library includes the number of types of work and their workday consumption, the number of types of construction materials and their consumption, and the number of types of construction machinery shifts and their consumption, and the corresponding engineering quota of the comprehensive transportation hub conversion component under different design schemes; The engineering quota of the comprehensive cost library includes the workday wage, material unit price, and mechanical shift work unit price under different design schemes; The expression of the comprehensive cost library is: ， ， ， ， ， In the formula, P j is the construction cost under the jth design scheme, U j is the material cost under the jth design scheme, V j is the construction machinery cost under the jth design scheme, W j is the labor cost under the jth design scheme, the engineering quota SP n is the unit price of the nth material, J n is the production unit price of the nth material, D n is the transportation distance of the nth material, Y n is the transportation unit price of the nth material, is the consumption of the nth material under the jth design scheme, the engineering quota TP n is the work unit price of the nth type of mechanical shift, is the shift consumption of the nth type of mechanical under the jth design scheme, the engineering quota KP n is the workday wage of the nth type of work, is the workday consumption of the nth type of work under the jth design scheme, a represents the number of construction material types under the jth design scheme, b represents the number of mechanical shift types under the jth design scheme, and c represents the number of work types under the jth design scheme. The total process time includes the number of construction steps, the corresponding bill of quantities of different construction steps, and the corresponding engineering quota of the comprehensive transportation hub conversion component under different design schemes; The engineering quota of the total process time is the quota time corresponding to different construction steps; The expression of the total process time is: ， ， In the formula, T j is the construction period under the jth design scheme, is the total time of the nth construction step under the jth design scheme, d represents the number of construction steps under the jth design scheme, and the engineering quota is the quota time corresponding to the nth construction step under the jth design scheme, is the bill of quantities corresponding to the nth construction step under the jth design scheme; Step S3: Obtain the detailed structure of the comprehensive transportation hub transfer component under different design schemes through the BIM software, import it into the engineering structure analysis software to generate a local finite element model, obtain the design parameters of the comprehensive transportation hub transfer component under different design schemes, and establish the calculation formula of the bending resistance capacity of the cross-section generalized steel-concrete composite beam and the shear resistance capacity of the cross-section generalized steel-concrete composite beam based on the design parameters; specifically, let the bending resistance capacity of the cross-section generalized steel-concrete composite beam be M u , and the shear resistance capacity of the cross-section generalized steel-concrete composite beam be V, and the calculation formula of the bending resistance capacity of the cross-section generalized steel-concrete composite beam and the shear resistance capacity of the cross-section generalized steel-concrete composite beam is established based on the design parameters of the comprehensive transportation hub transfer component and the cross-section properties of the comprehensive transportation hub transfer component. ， ， ， wherein , ， wherein α s is the coefficient of composite beam section, and the design parameters of the composite beam section of the comprehensive transportation hub transfer member include: the calculated width b e of the concrete wing plate, the height h0 of the composite beam section, the height h sc of the plastic neutral axis, the distance h 0s from the centroid of the steel beam section to the edge of the compressed concrete, the area A s of the tensile reinforcement, the area of the compressive reinforcement , the thickness of the protective layer of the upper flange of the shaped steel , the height x of the concrete compression zone c , the distance d from the centroid of the shaped steel section to the plastic neutral axis, the distance z from the action point of the tensile reinforcement to the neutral axis s , the distance from the action point of the compressive reinforcement to the neutral axis , the stirrup ratio , the angle α between the concrete inclined compression strut and the horizontal axis in the truss model, the angle θ between the concrete inclined compression strut and the horizontal axis in the arch model, and the relative compression zone height of the concrete of the composite beam section , the shear-span ratio of the shaped steel reinforced concrete beam , the thickness t of the steel beam web w , the height h of the steel beam web w ; The cross-section properties of the integrated transport hub conversion member include a compressive concrete strength f c , a tensile steel reinforcement tensile strength design value f y , a compressive steel reinforcement compressive strength design value , a tensile design strength f of the shaped steel s , a shaped steel cross-section ultimate bearing tensile force N s0 , a shaped steel elastic modulus E s , a shaped steel cross-section full-section yielding maximum bending bearing capacity M s0 , a stirrup tensile strength design value f yv , a concrete softening coefficient v and a truss effective coefficient ; Step S4: According to the comprehensive cost library, the total process time, and the most unfavorable section information of the comprehensive transportation hub conversion component under different design schemes, a first objective function is established with the maximum bending resistance of the section generalized steel-concrete composite beam as the target, a second objective function is established with the maximum shear resistance of the section generalized steel-concrete composite beam as the target, a third objective function is established with the minimum construction cost of the comprehensive transportation hub conversion component as the target, and a fourth objective function is established with the shortest construction period of the comprehensive transportation hub conversion component as the target, to obtain a multi-objective function, and calculate the optimal design scheme of the comprehensive transportation hub conversion component; Specifically, a multi-objective optimization function formula is established for the construction period, construction cost, bending resistance of the section generalized steel-concrete composite beam, and shear resistance of the section generalized steel-concrete composite beam of the comprehensive transportation hub conversion component under different design schemes: ， ， ， ， ， ， ， ， Wherein, f1 is the calculation formula of the first objective function, f2 is the calculation formula of the second objective function, f3 is the calculation formula of the third objective function, f4 is the calculation formula of the fourth objective function, is the nth design variable in M u , is the nth design variable in V , are the design parameters of the comprehensive transportation hub conversion component, is the nth design variable in P j , is the nth design variable in T j , , are the constraint boundaries of the nth design variable of the first objective function, , are the constraint boundaries of the nth design variable of the second objective function, , are the constraint boundaries of the nth design variable of the third objective function, , are the constraint boundaries of the nth design variable of the fourth objective function; finally, the multi-objective optimization function is solved, and the optimal value of the objective function f 1, f 2, f 3 and f 4 and the corresponding variable value are solved by using the grey wolf optimization algorithm (GWO).

2. The multi-objective optimization method for the integrated transport hub transition component design scheme according to claim 1, characterized in that, The input end of the grey wolf algorithm includes the objective function, variable dimension, constraint boundary of variable, number of grey wolf populations, maximum number of iterations, and convergence factor, and the output end of the algorithm is the optimal value of the objective function and the corresponding variable value; The target functions are f1, f2, f3 and f4, the total number of variables is , , and , the specific values of , , , , , , and are set as the constraint boundaries of the variables, the number of grey wolf populations is 200, the maximum number of iterations is set to 500, the convergence factor is set to 2, and after the grey wolf algorithm is calculated, the optimal values of the four target functions f1, f2, f3 and f4 and the corresponding design variables , , and are output.

3. A multi-objective optimization system of integrated transport hub transfer member design scheme for executing the multi-objective optimization method of integrated transport hub transfer member design scheme according to claim 1 or 2, characterized in that: The building information model acquisition module is used to generate the detailed structure of the comprehensive transportation hub conversion component under different design schemes based on the BIM software according to the imported building information model of the comprehensive transportation hub conversion component, and to determine the type and quantity of construction materials and their consumption, the type and quantity of construction machinery shifts and their consumption, the number of types of work and their workday consumption, the number of construction steps, and the corresponding bill of quantities of different construction steps according to the target component BIM model, and to package and send the bill of quantities to the optimization calculation module; The structure analysis module is used to calculate the mechanical properties of the component and obtain the most unfavorable section position; The storage module is used to store the basic data; The function module is used to establish a connection according to the bill of quantities of the target component and the basic data in the storage module, to establish a first objective function with the maximum flexural capacity of the cross-section generalized steel-concrete composite beam as the target, to establish a second objective function with the maximum shear capacity of the cross-section generalized steel-concrete composite beam as the target, to establish a third objective function with the minimum construction cost of the comprehensive transportation hub conversion component as the target, to establish a fourth objective function with the shortest construction period of the comprehensive transportation hub conversion component as the target, and to obtain multi-objective functions; The optimization calculation module is used to solve the multi-objective functions in the function module, and to calculate an optimal design scheme of the comprehensive transportation hub conversion component; The expression module is used to display the optimization calculation result of the optimization calculation module on a page for a user to view.

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