A method, device, equipment and storage medium for designing an assembled structure

Abstract

The present invention relates to the field of green and low-carbon technology and structural design, and discloses a method, device, equipment and storage medium for designing assembled structures, the method comprising: writing the initial population size, the maximum number of iterations, the crossover rate, the mutation rate and the constraint conditions into the configuration information, the constraint conditions of the assembled structure in terms of mechanical properties and the construction industry chain; according to the configuration information, using a preset genetic algorithm, processing the variable parameters to obtain a design scheme that meets the mechanical properties of the assembled structure; through an objective function, processing the standard value of the construction carbon emissions corresponding to each design scheme and the standard value of the bending strength of each design scheme, obtaining the comprehensive index corresponding to each design scheme, and selecting the design scheme with the smallest comprehensive index as the optimal design scheme that meets the mechanical properties of the assembled structure. The present invention can quickly obtain the optimal design scheme of high strength and low carbon.

Description

Technical Field

[0001] The present invention relates to the fields of green and low-carbon technology and structural design, and in particular to an assembled structure design method, device, equipment and storage medium. Background Art

[0002] In the context of vigorously developing prefabricated buildings in my country, prefabricated structures have been applied in foundation pit support systems across the country. This structural form, through factory production of prefabricated components and then assembly on site, not only significantly improves construction efficiency, but also effectively reduces construction waste, which is in line with the concept of sustainable development.

[0003] However, the current design scheme of the prefabricated structure of the foundation pit support system mainly relies on human decision-making, which consumes a lot of human resources and time resources and is easily affected by human intervention. In addition, the current prefabricated structure design of the foundation pit support system mostly considers a single factor, such as structural performance or carbon emissions, resulting in the structural design results being unable to simultaneously meet the growing comprehensive performance requirements, especially when the influence of the operating efficiency factor of the industrial chain is also increasing. Therefore, how to quickly obtain the optimal design scheme that meets the mechanical properties of the prefabricated structure is an urgent problem to be solved. Summary of the invention

[0004] The present invention provides a method, device, computer equipment and storage medium for designing an assembled structure, so as to solve the technical problem of how to obtain an optimal design solution that meets the mechanical properties of the assembled structure.

[0005] In a first aspect, a method for designing an assembled structure is provided, comprising:

[0006] Obtain the design parameters of the prefabricated structure of the project;

[0007] Selecting the cross-sectional size, reinforcement ratio and cavity ratio from the design parameters as variable parameters;

[0008] Obtaining the constraints of the prefabricated structure on mechanical properties and construction industry chain, and obtaining the initial population size, maximum number of iterations, crossover rate, and mutation rate;

[0009] Writing the initial population size, the maximum number of iterations, the crossover rate, the mutation rate, and the constraint condition into configuration information;

[0010] According to the configuration information, a preset genetic algorithm is used to process the variable parameters to obtain a design scheme that satisfies the mechanical properties of the assembled structure;

[0011] The standard value of the construction carbon emissions corresponding to each design scheme and the standard value of the flexural strength of each design scheme are obtained, and the standard value of the construction carbon emissions corresponding to each design scheme and the standard value of the flexural strength of each design scheme are processed through the objective function to obtain the comprehensive index corresponding to each of the design schemes, and the design scheme with the smallest comprehensive index is selected as the optimal design scheme that meets the mechanical properties of the prefabricated structure.

[0012] Furthermore, the selecting of the cross-sectional size, reinforcement ratio, and cavity ratio in the design parameters as variable parameters includes:

[0013] Read the cross-sectional dimensions, reinforcement ratio, and cavity ratio in the design parameters;

[0014] A selection instruction is obtained, the selection instruction is executed, and the cross-sectional size, reinforcement ratio, and cavity ratio in the design parameters are selected as variable parameters.

[0015] Furthermore, the obtaining of the constraints of the prefabricated structure on mechanical properties and construction industry chain, obtaining the initial population size, maximum number of iterations, crossover rate, and mutation rate, includes:

[0016] Obtaining the constraints of the prefabricated structure on mechanical properties and construction industry chain;

[0017] Get the configuration file of the project, and read the initial population size, maximum number of iterations, crossover rate, and mutation rate from the configuration file.

[0018] Furthermore, the step of writing the initial population size, the maximum number of iterations, the crossover rate, the mutation rate, and the constraint condition into the configuration information includes:

[0019] Read the write instructions in the preset file;

[0020] The write instruction is executed to write the initial population size, the number of iterations, the crossover rate, the mutation rate, and the constraint condition into the configuration information.

[0021] Furthermore, the variable parameters are processed according to the configuration information using a preset genetic algorithm to obtain a design scheme that satisfies the mechanical properties of the assembled structure, including:

[0022] According to the configuration information, a preset genetic algorithm is used to process the variable parameters, and during the processing, a current number of iterations is obtained;

[0023] When the current number of iterations is the maximum number of iterations, the values ​​of the cross-sectional dimensions, the reinforcement ratio, and the cavity ratio that meet the constraint conditions are integrated to obtain a design solution that meets the mechanical properties of the prefabricated structure.

[0024] Furthermore, the obtaining of the standard value of the construction carbon emission corresponding to each design scheme and the standard value of the bending strength of each design scheme, processing the standard value of the construction carbon emission corresponding to each design scheme and the standard value of the bending strength of each design scheme through the objective function, obtaining the comprehensive index corresponding to each of the design schemes, and selecting the design scheme with the smallest comprehensive index as the optimal design scheme that meets the mechanical properties of the prefabricated structure, includes:

[0025] Obtain the construction carbon emissions corresponding to each design scheme, perform dimensionless processing on the construction carbon emissions corresponding to each design scheme, and obtain the standard value of the construction carbon emissions corresponding to each design scheme;

[0026] The flexural strength of each design scheme is obtained through a preset flexural strength generation model, and the flexural strength of each design scheme is dimensionally processed to obtain a standard value of the flexural strength of each design scheme;

[0027] Through the objective function, the standard value of construction carbon emissions corresponding to each design scheme and the standard value of flexural strength of each design scheme are processed to obtain the comprehensive index corresponding to each design scheme, and the design scheme with the smallest comprehensive index is selected as the optimal design scheme that meets the mechanical properties of the prefabricated structure.

[0028] Furthermore, the comprehensive index refers to the construction carbon emissions per unit mechanical performance;

[0029] The smaller the comprehensive index is, the smaller the construction carbon emissions per unit mechanical performance is, which means that less carbon dioxide emissions are released when the same unit mechanical performance is achieved;

[0030] The larger the comprehensive index is, the greater the construction carbon emissions per unit mechanical performance, which means that more carbon dioxide emissions are released while achieving the same unit mechanical performance.

[0031] Furthermore, after obtaining the standard value of the construction carbon emission corresponding to each design scheme and the standard value of the flexural strength of each design scheme, the standard value of the construction carbon emission corresponding to each design scheme and the standard value of the flexural strength of each design scheme are processed through the objective function to obtain the comprehensive index corresponding to each of the design schemes, and the design scheme with the smallest comprehensive index is selected as the optimal design scheme that meets the mechanical properties of the prefabricated structure, the prefabricated structure design method includes:

[0032] A display page is obtained, a display window of the display page is created, and the optimal design solution is displayed through the display window.

[0033] In a second aspect, a prefabricated structure design device is provided, comprising:

[0034] The first acquisition module is used to obtain the design parameters of the prefabricated structure of the project;

[0035] A selection module is used to select the cross-sectional size, reinforcement ratio, and cavity ratio from the design parameters as variable parameters;

[0036] The second acquisition module is used to obtain the constraints of the assembled structure on mechanical properties and construction industry chain, and obtain the initial population size, maximum number of iterations, crossover rate, and mutation rate;

[0037] A writing module, used for writing the initial population size, the maximum number of iterations, the crossover rate, the mutation rate, and the constraint condition into the configuration information;

[0038] A processing module, configured to process the variable parameters according to the configuration information using a preset genetic algorithm to obtain a design scheme that satisfies the mechanical properties of the assembled structure;

[0039] The design module is used to obtain the standard value of construction carbon emissions corresponding to each design scheme and the standard value of bending strength of each design scheme, and process the standard value of construction carbon emissions corresponding to each design scheme and the standard value of bending strength of each design scheme through the objective function to obtain the comprehensive index corresponding to each of the design schemes, and select the design scheme with the smallest comprehensive index as the optimal design scheme that meets the mechanical properties of the prefabricated structure.

[0040] In a third aspect, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned prefabricated structure design method when executing the computer program.

[0041] In a fourth aspect, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned prefabricated structure design method are implemented.

[0042] The present application provides a method, device, computer equipment and storage medium for designing an assembled structure, which obtains design parameters of an assembled structure of a project; selects the cross-sectional size, reinforcement ratio and cavity ratio in the design parameters as variable parameters; obtains the constraints of the assembled structure in terms of mechanical properties and construction industry chain, and obtains the initial population size, the maximum number of iterations, the crossover rate and the mutation rate; writes the initial population size, the maximum number of iterations, the crossover rate, the mutation rate and the constraints into configuration information; according to the configuration information, uses a preset genetic algorithm to process the variable parameters to obtain a design scheme that satisfies the mechanical properties of the assembled structure; obtains the standard value of the construction carbon emissions corresponding to each design scheme and the standard value of the flexural strength of each design scheme, and processes the standard value of the construction carbon emissions corresponding to each design scheme and the standard value of the flexural strength of each design scheme through an objective function to obtain the standard value of each design scheme. The comprehensive index corresponding to the design scheme is obtained, and the design scheme with the smallest comprehensive index is selected as the optimal design scheme that meets the mechanical properties of the prefabricated structure. The beneficial effects are in two aspects. On the one hand, the standard value of the construction carbon emissions corresponding to each design scheme and the standard value of the bending strength of each design scheme are obtained. Through the objective function, the standard value of the construction carbon emissions corresponding to each design scheme and the standard value of the bending strength of each design scheme are processed to obtain the comprehensive index corresponding to each design scheme, and the design scheme with the smallest comprehensive index is selected as the optimal design scheme that meets the mechanical properties of the prefabricated structure. Since manual acquisition is not required, the acquisition time of the optimal design scheme is reduced, which is conducive to improving the efficiency of acquiring the optimal design scheme. On the other hand, since the optimal design scheme that meets the mechanical properties of the prefabricated structure is automatically acquired, it will not be affected by manual intervention, which is conducive to improving the reliability of the acquired optimal design scheme. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0044] Figure 1 is a schematic diagram of an application environment of a prefabricated structure design method in one embodiment of the present invention;

[0045] Figure 2 A schematic flow chart of a method for designing an assembled structure according to an embodiment of the present invention;

[0046] Figure 3 yes Figure 2A schematic flow chart of a specific implementation of step S23;

[0047] Figure 4 yes Figure 2 A schematic flow chart of a specific implementation of step S25;

[0048] Figure 5 yes Figure 2 A schematic flow chart of a specific implementation of step S26;

[0049] Figure 6 is a structural schematic diagram of an assembled structural design device in one embodiment of the present invention;

[0050] Figure 7 It is a structural diagram of a computer device in one embodiment of the present invention. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] See also Figure 1 , Figure 1 FIG. 1 is a schematic diagram of an application environment of a prefabricated structure design method according to an embodiment of the present invention. The prefabricated structure design method provided by the embodiment of the present invention can be applied in the following embodiments: Figure 1 In an application environment, a client communicates with a server through a network.

[0053] The server obtains the design parameters of the prefabricated structure of the project through the client;

[0054] Selecting the cross-sectional size, reinforcement ratio and cavity ratio from the design parameters as variable parameters;

[0055] Obtaining the constraints of the prefabricated structure on mechanical properties and construction industry chain, and obtaining the initial population size, maximum number of iterations, crossover rate, and mutation rate;

[0056] Writing the initial population size, the maximum number of iterations, the crossover rate, the mutation rate, and the constraint condition into configuration information;

[0057] According to the configuration information, a preset genetic algorithm is used to process the variable parameters to obtain a design scheme that satisfies the mechanical properties of the assembled structure;

[0058] The standard value of the construction carbon emissions corresponding to each design scheme and the standard value of the flexural strength of each design scheme are obtained, and the standard value of the construction carbon emissions corresponding to each design scheme and the standard value of the flexural strength of each design scheme are processed through the objective function to obtain the comprehensive index corresponding to each of the design schemes, and the design scheme with the smallest comprehensive index is selected as the optimal design scheme that meets the mechanical properties of the prefabricated structure.

[0059] In the scheme implemented by the above-mentioned prefabricated structure design method, device, equipment and medium, the beneficial effects are in two aspects. On the one hand, the standard value of construction carbon emissions corresponding to each design scheme and the standard value of bending strength of each design scheme are obtained, and the standard value of construction carbon emissions corresponding to each design scheme and the standard value of bending strength of each design scheme are processed through the objective function to obtain the comprehensive index corresponding to each of the design schemes, and the design scheme with the smallest comprehensive index is selected as the optimal design scheme that meets the mechanical properties of the prefabricated structure. Since manual acquisition is not required, the acquisition time of the optimal design scheme is reduced, which is conducive to improving the efficiency of acquiring the optimal design scheme. On the other hand, since the optimal design scheme that meets the mechanical properties of the prefabricated structure is automatically acquired, it will not be affected by manual intervention, which is conducive to improving the reliability of the acquired optimal design scheme.

[0060] The device running the client is referred to as a client device.

[0061] The device running the server is referred to as the server device.

[0062] Among them, client devices include but are not limited to smartphones, personal computers, Internet of Vehicles terminals, tablets and portable wearable devices.

[0063] The server device may be implemented by an independent server or a server cluster composed of multiple servers. The present invention is described in detail below through specific embodiments. Figure 2 , Figure 2 A schematic flow chart of a method for designing an assembled structure according to an embodiment of the present invention includes the following steps:

[0064] S21, obtaining design parameters of the prefabricated structure of the project;

[0065] Among them, prefabricated structures include but are not limited to solid permanent and temporary prefabricated structures and cavity permanent and temporary prefabricated structures.

[0066] Among them, the solid permanent and temporary prefabricated structure refers to a structure formed by organically combining permanent structure and temporary structure by using solid prefabricated components in prefabricated buildings.

[0067] Among them, the cavity permanent and temporary combined prefabricated structure refers to a structure formed by organically combining permanent structure and temporary structure by using cavity prefabricated components in prefabricated buildings.

[0068] S22, selecting the cross-sectional size, reinforcement ratio, and cavity ratio from the design parameters as variable parameters;

[0069] The selecting of the cross-sectional size, reinforcement ratio and cavity ratio in the design parameters as variable parameters includes:

[0070] Read the cross-sectional dimensions, reinforcement ratio, and cavity ratio in the design parameters;

[0071] A selection instruction is obtained, the selection instruction is executed, and the cross-sectional size, reinforcement ratio, and cavity ratio in the design parameters are selected as variable parameters.

[0072] S23, obtaining the constraints of the assembled structure on mechanical properties and construction industry chain, and obtaining the initial population size, maximum number of iterations, crossover rate, and mutation rate;

[0073] The constraints are:

[0074] ;

[0075] ;

[0076] ;

[0077] ;

[0078] is the section height of the section size; is the structural span of the cross-sectional dimensions;

[0079] is the ratio of the cross-sectional height to the structural span; is the cavity ratio;

[0080] is the reinforcement ratio; is the minimum flexural strength;

[0081] It is the bending strength of the prefabricated structure.

[0082] S24, writing the initial population size, the maximum number of iterations, the crossover rate, the mutation rate, and the constraint condition into configuration information;

[0083] Wherein, writing the initial population size, the maximum number of iterations, the crossover rate, the mutation rate, and the constraint condition into the configuration information includes:

[0084] Read the write instructions in the preset file;

[0085] The write instruction is executed to write the initial population size, the number of iterations, the crossover rate, the mutation rate, and the constraint condition into the configuration information.

[0086] The initial population size determines the initial coverage of the genetic algorithm search space, affecting the diversity of the population and the exploration ability of the genetic algorithm;

[0087] The maximum number of iterations limits the running time of the genetic algorithm, ensuring that the genetic algorithm converges to the optimal solution or a near-optimal solution within a reasonable time and avoiding over-calculation;

[0088] The crossover rate controls the frequency of crossover operations in the genetic algorithm, promotes the transmission of excellent genes and the generation of new individuals through gene recombination, and improves the search efficiency and global convergence of the genetic algorithm;

[0089] The mutation rate introduces a certain degree of randomness, generating new genotypes and phenotypes through gene mutations, which helps the genetic algorithm escape from the local optimum and maintain the diversity of the population and the exploration vitality of the genetic algorithm.

[0090] S25, processing the variable parameters using a preset genetic algorithm according to the configuration information to obtain a design solution that satisfies the mechanical properties of the assembled structure;

[0091] Among them, genetic algorithm is an optimization search algorithm that simulates natural selection and genetic mechanisms. Genetic algorithm does not require a clear mathematical model and has low requirements on the continuity and differentiability of the problem, so it has a wider applicability.

[0092] S26, obtaining the standard value of construction carbon emissions corresponding to each design scheme and the standard value of bending strength of each design scheme, processing the standard value of construction carbon emissions corresponding to each design scheme and the standard value of bending strength of each design scheme through the objective function, obtaining the comprehensive index corresponding to each of the design schemes, and selecting the design scheme with the smallest comprehensive index as the optimal design scheme that meets the mechanical properties of the prefabricated structure.

[0093] The comprehensive index refers to the construction carbon emissions per unit mechanical performance;

[0094] The smaller the comprehensive index is, the smaller the construction carbon emissions per unit mechanical performance is, which means that less carbon dioxide emissions are released when the same unit mechanical performance is achieved;

[0095] The larger the comprehensive index is, the greater the construction carbon emissions per unit mechanical performance, which means that more carbon dioxide emissions are released while achieving the same unit mechanical performance.

[0096] For the sake of illustration, an example is given below:

[0097] When the unit mechanical property is the flexural strength of the prefabricated structure, the comprehensive indicator is the construction carbon emissions required for the prefabricated structure to produce a flexural strength of 1 MPa.

[0098] The smaller the construction carbon emissions required for a prefabricated structure to produce a bending strength of 1 MPa, the less carbon dioxide emissions released by the industrial chain of the prefabricated structure.

[0099] The more construction carbon emissions are required for a prefabricated structure to produce a bending strength of 1 MPa, the more carbon dioxide emissions are released by the industrial chain of the prefabricated structure.

[0100] Wherein, the objective function is: ;

[0101] As a comprehensive indicator, is the standard value of construction carbon emissions corresponding to the design solution;

[0102] is the standard value of the flexural strength of the design solution;

[0103] represents minimization, Used to find the function Get the minimum value Among them, the smaller the comprehensive index is, the smaller the construction carbon emissions under unit mechanical properties are, which means that less carbon dioxide emissions are released when the same unit mechanical properties are achieved. This is not only conducive to reducing the pressure on the environment and the risk of global warming, but also improves the energy efficiency of enterprises and helps reduce energy consumption costs.

[0104] The larger the comprehensive index is, the greater the carbon emissions per unit of mechanical performance is, which means that more carbon dioxide emissions are released when the same unit of mechanical performance is achieved. This not only increases the pressure on the environment and the risk of global warming, but also reduces the energy efficiency of enterprises, which is not conducive to reducing energy consumption costs.

[0105] Therefore, the design scheme with the smallest comprehensive index is selected as the optimal design scheme that meets the mechanical properties of the prefabricated structure. The optimal design scheme can provide a clear direction and guidance for subsequent construction work, which is of great value for construction projects in complex geological environments.

[0106] To facilitate the description of the application process of the embodiment of the present invention, an example is given below:

[0107] For example, the cross-sectional size, reinforcement ratio, and cavity ratio of the optimal design solution are 830 mm, 0.9%, and 45%, respectively.

[0108] The cross-sectional size, reinforcement ratio, and cavity ratio of the design with the highest mechanical performance are 960 mm, 1%, and 0%, respectively. In addition, compared with the design with the highest mechanical performance, the optimal design has achieved a huge reduction in carbon emissions.

[0109] It can be seen that by using the above-mentioned design method, the optimal design scheme can be obtained, which can not only ensure the low-carbon advantage of the structure, but also meet the higher bending bearing performance requirements. This provides design guidance for the construction of prefabricated structure projects in complex geological environments, and has important value and practical application potential.

[0110] Wherein, after obtaining the standard value of the construction carbon emission corresponding to each design scheme and the standard value of the bending strength of each design scheme, processing the standard value of the construction carbon emission corresponding to each design scheme and the standard value of the bending strength of each design scheme through the objective function to obtain the comprehensive index corresponding to each of the design schemes, and selecting the design scheme with the smallest comprehensive index as the optimal design scheme that meets the mechanical properties of the prefabricated structure, the prefabricated structure design method includes:

[0111] A display page is obtained, a display window of the display page is created, and the optimal design solution is displayed through the display window.

[0112] In the embodiment of the present invention, the beneficial effects are in two aspects. On the one hand, the standard value of construction carbon emissions corresponding to each design scheme and the standard value of bending strength of each design scheme are obtained, and the standard value of construction carbon emissions corresponding to each design scheme and the standard value of bending strength of each design scheme are processed through the objective function to obtain the comprehensive index corresponding to each of the design schemes, and the design scheme with the smallest comprehensive index is selected as the optimal design scheme that meets the mechanical properties of the prefabricated structure. Since manual acquisition is not required, the acquisition time of the optimal design scheme is reduced, which is conducive to improving the efficiency of acquiring the optimal design scheme. On the other hand, since the optimal design scheme that meets the mechanical properties of the prefabricated structure is automatically acquired, it will not be affected by manual intervention, which is conducive to improving the reliability of the acquired optimal design scheme.

[0113] See also Figure 3 , Figure 3 yes Figure 2 A specific implementation flow diagram of step S23 is described in detail as follows:

[0114] S31, obtaining constraints on the mechanical properties and construction industry chain of the prefabricated structure;

[0115] S32, obtaining a configuration file of the project, and reading an initial population size, a maximum number of iterations, a crossover rate, and a mutation rate from the configuration file.

[0116] In an embodiment of the present invention, the initial population size, the maximum number of iterations, the crossover rate, and the mutation rate are read from the configuration file. By setting the initial population size, the maximum number of iterations, the crossover rate, and the mutation rate, the performance of the genetic algorithm can be significantly improved, thereby ensuring the effectiveness and reliability of the genetic algorithm in finding design solutions.

[0117] See also Figure 4 , Figure 4 yes Figure 2 A specific implementation flow diagram of step S25 is described in detail as follows:

[0118] S41, according to the configuration information, using a preset genetic algorithm to process the variable parameters, and during the processing, obtaining the current number of iterations;

[0119] S42, when the current number of iterations is the maximum number of iterations, the values ​​of the cross-sectional dimensions, the reinforcement ratio, and the cavity ratio that meet the constraint conditions are integrated to obtain a design solution that satisfies the mechanical properties of the prefabricated structure.

[0120] In an embodiment of the present invention, the values ​​of the cross-sectional dimensions, the reinforcement ratio, and the cavity ratio that meet the constraint conditions are integrated to obtain a design solution that meets the mechanical properties of the prefabricated structure. The constraint conditions represent restrictions and requirements. By meeting the constraint conditions, a design solution that meets the restrictions and requirements can be obtained, thereby saving resources and time.

[0121] See also Figure 5 , Figure 5 yes Figure 2 A specific implementation flow diagram of step S26 is described in detail as follows:

[0122] S51, obtaining the construction carbon emission corresponding to each design scheme, performing dimensionless processing on the construction carbon emission corresponding to each design scheme, and obtaining the standard value of the construction carbon emission corresponding to each design scheme;

[0123] Among them, the construction carbon emissions corresponding to each design scheme are dimensionlessly processed, so that the construction carbon emissions corresponding to each design scheme can be compared and comprehensively analyzed under the same standard, which improves the comparability and universality of the construction carbon emissions corresponding to each design scheme.

[0124] S52, obtaining the bending strength of each design solution through a preset bending strength generation model, performing dimensionless processing on the bending strength of each design solution, and obtaining a standard value of the bending strength of each design solution;

[0125] Among them, the bending strength corresponding to each design scheme is dimensionless, so that the bending strength corresponding to each design scheme can be compared and comprehensively analyzed under the same standard, which improves the comparability and versatility of the bending strength corresponding to each design scheme.

[0126] Among them, the flexural strength is the strength of the bending performance.

[0127] Among them, flexural strength refers to the ability of a material to resist bending damage when subjected to bending. Flexural strength is a key indicator of the mechanical properties of materials.

[0128] Among them, the bending strength generation model is a generation model of bending strength.

[0129] Among them, the bending strength generation model is:

[0130] ;

[0131] ;

[0132] ;

[0133] ;

[0134] in, is the flexural strength of the prefabricated structure, in units of ;

[0135] b and h are the width and height of the prefabricated structure, respectively, in meters;

[0136] f cd is the design value of concrete compressive strength, in MPa;

[0137] a and a' are the distances between the steel bar and the outer edges of the tension zone and compression zone, respectively, in m;

[0138] b, fsd, and fsd' are the tensile strength and compressive strength of the steel bar, respectively, in MPa;

[0139] A s , A s ' are the areas of the tensile reinforcement and the compressive reinforcement, respectively, in units of ;

[0140] x refers to the relative compression zone height of the member section, in m.

[0141] x is the height of the cross section relative to the compression zone, in m;

[0142] is the cavity height of the prefabricated structure, in m;

[0143] is the cavity ratio, unit is %;

[0144] is the reinforcement ratio, in %.

[0145] S53, through the objective function, the standard value of the construction carbon emission corresponding to each design scheme and the standard value of the bending strength of each design scheme are processed to obtain the comprehensive index corresponding to each design scheme, and the design scheme with the smallest comprehensive index is selected as the optimal design scheme that meets the mechanical properties of the prefabricated structure.

[0146] Among them, the standard value of the construction carbon emission corresponding to each design scheme and the standard value of the flexural strength of each design scheme are processed through the objective function to obtain the comprehensive index corresponding to each design scheme, and the design scheme with the smallest comprehensive index is selected as the optimal design scheme that meets the mechanical properties of the prefabricated structure, including:

[0147] Establish a carbon emission measurement function for the prefabricated structure of the foundation pit support system, including the design parameters of cross-sectional size, reinforcement ratio, and cavity ratio;

[0148] Establish a flexural performance measurement function for the prefabricated structure of the foundation pit support system, including the design parameters of the cross-sectional size, reinforcement ratio, and cavity ratio;

[0149] The carbon emission measurement function is compared with the bending performance measurement function to reflect the carbon emission under unit mechanical properties, and the ratio is used as the objective function of the prefabricated structure design;

[0150] Through the objective function, the standard value of construction carbon emissions corresponding to each design scheme and the standard value of flexural strength of each design scheme are processed to obtain the comprehensive index corresponding to each design scheme, and the design scheme with the smallest comprehensive index is selected as the optimal design scheme that meets the mechanical properties of the prefabricated structure.

[0151] The carbon emission measurement function is the measurement function of carbon emission, and the bending resistance is the measurement function of the bending resistance.

[0152] For the sake of illustration, an example is given below:

[0153] Wherein, the objective function is: ;

[0154] As a comprehensive indicator, is the standard value of construction carbon emissions corresponding to the design solution;

[0155] is the standard value of the flexural strength of the design solution;

[0156] represents minimization, Used to find the function Get the minimum value Among them, the smaller the comprehensive index is, the smaller the construction carbon emissions under unit mechanical properties are, which means that less carbon dioxide emissions are released when the same unit mechanical properties are achieved. This is not only conducive to reducing the pressure on the environment and the risk of global warming, but also improves the energy efficiency of enterprises and helps reduce energy consumption costs.

[0157] The larger the comprehensive index is, the greater the carbon emissions per unit of mechanical performance is, which means that more carbon dioxide emissions are released when the same unit of mechanical performance is achieved. This not only increases the pressure on the environment and the risk of global warming, but also reduces the energy efficiency of enterprises, which is not conducive to reducing energy consumption costs.

[0158] Therefore, the design scheme with the smallest comprehensive index is selected as the optimal design scheme that meets the mechanical properties of the prefabricated structure. The optimal design scheme can provide a clear direction and guidance for subsequent construction work, which is of great value for construction projects in complex geological environments.

[0159] In an embodiment of the present invention, the standard value of construction carbon emissions corresponding to each design scheme and the standard value of bending strength of each design scheme are obtained, and the standard value of construction carbon emissions corresponding to each design scheme and the standard value of bending strength of each design scheme are processed through the objective function to obtain the comprehensive index corresponding to each of the design schemes, and the design scheme with the smallest comprehensive index is selected as the optimal design scheme that meets the mechanical properties of the prefabricated structure. Since manual acquisition is not required, the time for obtaining the optimal design scheme is reduced, which is conducive to improving the efficiency of obtaining the optimal design scheme.

[0160] See also Figure 6 , Figure 6 : is a schematic diagram of a structure of an assembled structure design device in one embodiment of the present invention, such as Figure 6 As shown, the prefabricated structure design device includes a first acquisition module 101, a selection module 102, a second acquisition module 103, a writing module 104, a processing module 105, and a design module 106. The functional modules are described in detail as follows:

[0161] The first acquisition module 101 is used to acquire design parameters of the prefabricated structure of the project;

[0162] A selection module 102 is used to select the cross-sectional size, reinforcement ratio, and cavity ratio from the design parameters as variable parameters;

[0163] The second acquisition module 103 is used to obtain the constraints of the prefabricated structure in terms of mechanical properties and construction industry chain, and to obtain the initial population size, maximum number of iterations, crossover rate, and mutation rate;

[0164] A writing module 104 is used to write the initial population size, the maximum number of iterations, the crossover rate, the mutation rate, and the constraint condition into the configuration information;

[0165] A processing module 105 is used to process the variable parameters according to the configuration information using a preset genetic algorithm to obtain a design solution that satisfies the mechanical properties of the assembled structure;

[0166] The design module 106 is used to obtain the standard value of the construction carbon emissions corresponding to each design scheme and the standard value of the bending strength of each design scheme, and process the standard value of the construction carbon emissions corresponding to each design scheme and the standard value of the bending strength of each design scheme through the objective function to obtain the comprehensive index corresponding to each of the design schemes, and select the design scheme with the smallest comprehensive index as the optimal design scheme that meets the mechanical properties of the prefabricated structure.

[0167] In the embodiment of the present invention, the beneficial effects are in two aspects. On the one hand, the standard value of construction carbon emissions corresponding to each design scheme and the standard value of bending strength of each design scheme are obtained, and the standard value of construction carbon emissions corresponding to each design scheme and the standard value of bending strength of each design scheme are processed through the objective function to obtain the comprehensive index corresponding to each of the design schemes, and the design scheme with the smallest comprehensive index is selected as the optimal design scheme that meets the mechanical properties of the prefabricated structure. Since manual acquisition is not required, the acquisition time of the optimal design scheme is reduced, which is conducive to improving the efficiency of acquiring the optimal design scheme. On the other hand, since the optimal design scheme that meets the mechanical properties of the prefabricated structure is automatically acquired, it will not be affected by manual intervention, which is conducive to improving the reliability of the acquired optimal design scheme.

[0168] For the specific limitations on the prefabricated structure design device, please refer to the limitations on the prefabricated structure design method above, which will not be repeated here.

[0169] Each module in the above-mentioned prefabricated structure design device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0170] See also Figure 7 , Figure 7 1 is another structural diagram of a computer device in one embodiment of the present invention. In one embodiment, a computer device is provided. The computer device is a server device or a client device. The internal structure diagram thereof can be as shown in FIG. Figure 7 As shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external device. When the computer program is executed by the processor, the functions or steps of an assembled structure design method can be realized.

[0171] In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor.

[0172] It should be noted that the above functions or steps that can be implemented by the computer-readable storage medium or computer device can refer to the relevant description of the aforementioned method embodiment. In order to avoid repetition, they will not be described one by one here.

[0173] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a graphics processing unit (GPU), and a network processor (NP); it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, and discrete hardware components.

[0174] The above description and the accompanying drawings sufficiently illustrate the embodiments of the present disclosure to enable those skilled in the art to practice them. In this article, each embodiment may focus on the differences from other embodiments, and the same or similar parts between the embodiments may refer to each other. For the methods and products disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, then the relevant parts can refer to the description of the method part.

[0175] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software may depend on the specific application and design constraints of the technical solution. Technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the embodiments of the present disclosure. Technicians can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0176] In the embodiments disclosed herein, the disclosed methods and products (including but not limited to devices and equipment) can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units can be only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some sub-samples can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to implement this embodiment. In addition, each functional unit in the embodiment of the present disclosure may be integrated in a processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit.

[0177] The flowchart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to the embodiment of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and the block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in a different order from the order disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A method for designing an assembled structure, characterized in that: include: Obtain the design parameters of the prefabricated structure of the project; Selecting the cross-sectional size, reinforcement ratio and cavity ratio from the design parameters as variable parameters; Obtaining the constraints of the prefabricated structure on mechanical properties and construction industry chain, and obtaining the initial population size, maximum number of iterations, crossover rate, and mutation rate; Writing the initial population size, the maximum number of iterations, the crossover rate, the mutation rate, and the constraint condition into configuration information; According to the configuration information, a preset genetic algorithm is used to process the variable parameters to obtain a design scheme that satisfies the mechanical properties of the assembled structure; Obtaining the standard value of the construction carbon emission and the standard value of the bending strength of each design scheme corresponding to each design scheme, processing the standard value of the construction carbon emission and the standard value of the bending strength of each design scheme corresponding to each design scheme through the objective function, obtaining the comprehensive index corresponding to each of the design schemes, and selecting the design scheme with the smallest comprehensive index as the optimal design scheme that meets the mechanical properties of the prefabricated structure; The step of obtaining the standard value of the construction carbon emission and the standard value of the bending strength of each design scheme corresponding to each design scheme, processing the standard value of the construction carbon emission and the standard value of the bending strength of each design scheme corresponding to each design scheme through an objective function, obtaining a comprehensive index corresponding to each of the design schemes, and selecting the design scheme with the smallest comprehensive index as the optimal design scheme that meets the mechanical properties of the prefabricated structure includes: Obtain the construction carbon emissions corresponding to each design scheme, perform dimensionless processing on the construction carbon emissions corresponding to each design scheme, and obtain the standard value of the construction carbon emissions corresponding to each design scheme; The flexural strength of each design scheme is obtained through a preset flexural strength generation model, and the flexural strength of each design scheme is dimensionally processed to obtain a standard value of the flexural strength of each design scheme; Through the objective function, the standard value of the construction carbon emission corresponding to each design scheme and the standard value of the flexural strength of each design scheme are processed to obtain the comprehensive index corresponding to each design scheme, and the design scheme with the smallest comprehensive index is selected as the optimal design scheme that meets the mechanical properties of the prefabricated structure; The comprehensive index refers to the construction carbon emissions per unit mechanical performance; The smaller the comprehensive index is, the smaller the construction carbon emissions per unit mechanical performance is, which means that less carbon dioxide emissions are released when the same unit mechanical performance is achieved; The larger the comprehensive index is, the greater the construction carbon emissions per unit mechanical performance is, which means that more carbon dioxide emissions are released when the same unit mechanical performance is achieved; Among them, the bending strength generation model is: ； ； ； ； Wherein, M is the bending strength of the prefabricated structure, in KN∙m; b and h are the width and height of the prefabricated structure, respectively, in meters; f cd is the design value of concrete compressive strength, in MPa; a and a' are the distances between the steel bar and the outer edges of the tension zone and compression zone, respectively, in m; fsd and fsd' are the tensile strength and compressive strength of the steel bar, respectively, in MPa; A s , A s ' are the areas of tensile reinforcement and compressive reinforcement respectively, in m 2 ; x refers to the relative compression zone height of the member section, in m; h' is the cavity height of the prefabricated structure, in m; C is the cavity ratio, unit is %; R is the reinforcement ratio, in %.

2. The method for designing an assembled structure according to claim 1, characterized in that: The step of selecting the cross-sectional size, reinforcement ratio, and cavity ratio from among the design parameters as variable parameters includes: Read the cross-sectional dimensions, reinforcement ratio, and cavity ratio in the design parameters; A selection instruction is obtained, the selection instruction is executed, and the cross-sectional size, reinforcement ratio, and cavity ratio in the design parameters are selected as variable parameters.

3. The method for designing an assembled structure according to claim 1, characterized in that: The obtaining of the constraints of the mechanical properties and the construction industry chain of the prefabricated structure, the obtaining of the initial population size, the maximum number of iterations, the crossover rate, and the mutation rate, includes: Obtaining the constraints of the prefabricated structure on mechanical properties and construction industry chain; Get the configuration file of the project, and read the initial population size, maximum number of iterations, crossover rate, and mutation rate from the configuration file.

4. The method for designing an assembled structure according to claim 1, characterized in that: The step of writing the initial population size, the maximum number of iterations, the crossover rate, the mutation rate, and the constraint condition into the configuration information includes: Read the write instructions in the preset file; The write instruction is executed to write the initial population size, the maximum number of iterations, the crossover rate, the mutation rate, and the constraint condition into the configuration information.

5. The method for designing an assembled structure according to claim 1, characterized in that: The method of processing the variable parameters according to the configuration information using a preset genetic algorithm to obtain a design scheme that satisfies the mechanical properties of the assembled structure includes: According to the configuration information, a preset genetic algorithm is used to process the variable parameters, and during the processing, a current number of iterations is obtained; When the current number of iterations is the maximum number of iterations, the values ​​of the cross-sectional dimensions, the reinforcement ratio, and the cavity ratio that meet the constraint conditions are integrated to obtain a design solution that meets the mechanical properties of the prefabricated structure.

6. An assembly structure design device based on the assembly structure design method according to any one of claims 1 to 5, characterized in that: include: The first acquisition module is used to obtain the design parameters of the prefabricated structure of the project; A selection module is used to select the cross-sectional size, reinforcement ratio, and cavity ratio from the design parameters as variable parameters; The second acquisition module is used to obtain the constraints of the assembled structure on mechanical properties and construction industry chain, and obtain the initial population size, maximum number of iterations, crossover rate, and mutation rate; A writing module, used for writing the initial population size, the maximum number of iterations, the crossover rate, the mutation rate, and the constraint condition into the configuration information; A processing module, configured to process the variable parameters according to the configuration information using a preset genetic algorithm to obtain a design scheme that satisfies the mechanical properties of the assembled structure; The design module is used to obtain the standard value of construction carbon emissions corresponding to each design scheme and the standard value of bending strength of each design scheme, and process the standard value of construction carbon emissions corresponding to each design scheme and the standard value of bending strength of each design scheme through the objective function to obtain the comprehensive index corresponding to each of the design schemes, and select the design scheme with the smallest comprehensive index as the optimal design scheme that meets the mechanical properties of the prefabricated structure.

7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for designing an assembled structure as claimed in any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for designing an assembled structure as claimed in any one of claims 1 to 5 are implemented.

Images