Method, system and medium for determining joint parameters of grid lateral connection maintenance system

Abstract

The present invention discloses a method, system and medium for determining the parameters of the joints of a lateral connection maintenance system of a grid; it relates to the technical field of building structure design; by constructing a finite element model and conducting multidisciplinary simulation analysis, it is possible to comprehensively consider factors such as structural stress, material properties, and construction errors, accurately determine the width and size of vertical joints, and avoid problems caused by joints that are too wide or too narrow; by combining multidisciplinary simulation analysis such as structural mechanics, acoustics, and airflow vibration, it is ensured that the design of the vertical joints not only meets the structural stress amplitude requirements, but also optimizes the sound insulation performance and reduces the impact of vibration; by adjusting the basic parameters of the vertical joints, the force distribution of the steel keel and the concrete side panels is optimized, and the overall stiffness, stability and durability of the structure are improved; thus achieving multi-objective optimization, providing a scientific design basis, and reducing reliance on empirical formulas.

Description

Technical Field

[0001] The present invention relates to the technical field of building structure design, and in particular to a method, system and medium for determining seam parameters of a grid lateral connection maintenance system. Background Art

[0002] In the design and construction of large-scale wind tunnel structures, grid structures are often used as the primary load-bearing structure for long-span roofs due to their lightweight, high strength, and good spatial adaptability. However, the design of lateral connection enclosure systems at unsupported edges (i.e., edge areas without direct support) presents numerous technical challenges. Traditional lateral connection enclosure systems typically utilize a combination of steel studs and concrete slabs to enhance overall stiffness and stability. However, this design presents several practical challenges: the steel studs and concrete slabs easily form an integral load-bearing relationship with the main grid structure, resulting in significant stress concentrations in the lateral enclosure system. This can lead to localized failure or overall structural instability, particularly under wind loads or earthquakes. Traditional lateral enclosure systems typically utilize large concrete slabs, resulting in excessively large lateral panel units, increasing the deadweight and load complexity of the structure. This not only increases construction complexity but can also lead to localized failure under extreme loads. To reduce the lateral panel unit area and mitigate the integral load-bearing relationship with the main structure, vertical joints are typically inserted between the steel stud grids, dividing the lateral panels into multiple independent panels. However, the precise design of vertical joint widths and dimensions is difficult. Joints that are too wide may result in insufficient structural stiffness, affecting overall stability; joints that are too narrow may fail to effectively reduce overall stress, making it difficult to achieve the desired design effect. The design of joint widths and dimensions requires comprehensive consideration of factors such as structural stress, material properties, and construction errors, making it difficult to accurately determine them through simple theoretical calculations or empirical formulas. Furthermore, the construction accuracy of joint widths requires extremely high standards, making errors difficult to completely avoid in actual construction. The dimensions of vertical joints (including height and length) must match the grid spacing of the truss structure to ensure that the joints effectively divide the side panels and reduce overall stress. Joint dimension design lacks unified standards and specifications, often requiring customized design based on specific project circumstances, increasing design complexity and uncertainty. In summary, the design of vertical joints in the lateral connection enclosure system of the truss structure for long-span wind tunnel buildings faces numerous technical challenges. These challenges not only affect the stability and safety of the structure but also increase the complexity of design and construction. Therefore, a new technical solution is urgently needed that can effectively solve problems such as precise control, optimized design, connection sealing, construction error and durability in vertical joint design while ensuring structural performance, so as to improve the design and construction level of large-span wind tunnel roofs. Summary of the Invention

[0003] The technical problems to be solved by the present invention are: excessively wide vertical joints may lead to insufficient structural rigidity and affect overall stability; excessively narrow vertical joints cannot effectively weaken the overall stress, making it difficult to achieve the expected design effect. The design of the joint width and size requires comprehensive consideration of factors such as structural stress, material properties, and construction errors, and is difficult to accurately determine through simple theoretical calculations or empirical formulas. The purpose of the present invention is to provide a method, system, and medium for determining the joint parameters of a lateral connection maintenance system for a grid. By constructing a finite element model and conducting multidisciplinary simulation analysis, it is possible to comprehensively consider factors such as structural stress, material properties, and construction errors, accurately determine the width and size of the vertical joints, and avoid problems caused by joints that are too wide or too narrow. This solution combines multidisciplinary simulation analysis, including structural mechanics, acoustics, and airflow vibration, to ensure that the design of vertical joints not only meets structural strength requirements, but also optimizes sound insulation performance and reduces vibration impacts. By adjusting the basic parameters of the vertical joints, the force distribution of the steel keel and concrete side panels is optimized, improving the overall stiffness, stability, and durability of the structure. Based on multidisciplinary simulation analysis results and optimization algorithms, multi-objective optimization is achieved, providing a scientific design basis and reducing reliance on empirical formulas.

[0004] The present invention is achieved through the following technical solutions:

[0005] This solution provides a method for determining the parameters of the grid lateral connection maintenance system, including:

[0006] Constructing a finite element model of the grid and lateral connection enclosure; the lateral connection enclosure includes a steel keel and a concrete side panel connected to the steel keel, wherein the steel keel is evenly provided with a plurality of vertical joints, and the steel keel and the concrete side panel are disconnected at the vertical joints to form a plurality of independent side panels;

[0007] In the finite element analysis software, target load conditions were applied to the finite element model for multidisciplinary simulation analysis. The basic parameters of the vertical joints were adjusted to obtain multidisciplinary simulation analysis results under different basic parameters. The key parameters of all basic parameters and auxiliary parameters of some basic parameters were extracted from the multidisciplinary simulation analysis results to construct an alternative basic parameter set.

[0008] A comprehensive interdisciplinary calculation is performed on each basic parameter in the alternative basic parameter set, and the optimal basic parameters of the vertical joint are determined based on a multi-objective optimization algorithm.

[0009] A further optimization solution is that the basic parameters of the vertical split include: the position and width of the vertical split;

[0010] The position of the vertical split is set at the spacing position between two adjacent grids of the steel keel.

[0011] A further optimization solution is that the multidisciplinary simulation analysis includes structural simulation analysis, acoustic simulation analysis and airflow vibration analysis;

[0012] The structural simulation analysis results include stress, strain and displacement;

[0013] The results of the acoustic simulation analysis include sound pressure level and sound transmission loss;

[0014] The results of the airflow vibration analysis include component fatigue response caused by airflow vibration.

[0015] A further optimization scheme is to extract key parameters of all basic parameters and auxiliary parameters of some basic parameters from the multidisciplinary simulation analysis results; including the following method:

[0016] The first proxy model is constructed based on the structural analysis results of the steel keel, and the maximum deformation of the steel keel is extracted as the key parameter;

[0017] Setting a preset threshold to select a candidate basic parameter set from the key parameters;

[0018] For the basic parameters in the candidate basic parameter set, auxiliary parameters are predicted:

[0019] A second proxy model is constructed to predict the stress of the grid steel members and the stress of the concrete side panels as auxiliary parameters based on the structural analysis results of the grid and concrete side panels.

[0020] A third proxy model is constructed to predict the outdoor noise of the grid and the lateral connection enclosure structure as a whole based on the acoustic simulation analysis results of the grid and the lateral connection enclosure structure as a whole, and to use it as an auxiliary parameter;

[0021] The fourth proxy model is constructed to predict the fatigue stress amplitude of the steel structure members of the grid as an auxiliary parameter based on the airflow vibration analysis results of the grid.

[0022] A further optimization solution is that the first and second proxy models are radial basis function models; the third and fourth proxy models are response surface models;

[0023] The radial basis function model is expressed as: ;

[0024] Among them, C i represents the center point matrix corresponding to the i-th first input parameter; m represents the total number of first input parameters; X represents the first input parameter matrix; L(X) represents the first predicted output; σ represents the shape parameter. In the first surrogate model: , in the second agent model: ; represents the weight coefficient of the i-th first input parameter;

[0025] The response surface model is expressed as: ; ; Where y represents the second predicted output, Represents the second input parameter matrix; β represents the coefficient vector, including the constant term, linear term coefficient, interaction term coefficient 2 and secondary term coefficient, which is estimated based on the least squares method; represents the observed value of the second predicted output; e represents the error term.

[0026] A further optimization scheme is to perform a comprehensive subject calculation on each basic parameter in the candidate basic parameter set; including the following method:

[0027] Obtain key parameters and auxiliary parameters of each basic parameter in the candidate basic parameter set;

[0028] The comprehensive subject balance value K of each basic parameter is determined according to the following formula: ;

[0029] Among them, F1 represents the stress of the steel structure members of the grid; F2 represents the stress of the concrete side plate; S represents the outdoor noise of the grid and the lateral connection enclosure structure as a whole; P represents the fatigue stress amplitude of the steel structure members of the grid; △L represents the maximum deformation of the steel keel; and e represents the natural base.

[0030] A further optimization scheme is to determine the optimal basic parameters of the vertical joints based on the multi-objective optimization algorithm; including the following methods:

[0031] Constructing a multi-objective optimization function and constraints; the multi-objective optimization function includes: the maximum deformation of the steel keel is within a first preset range, and the comprehensive subject equilibrium value of the foundation parameters is within a second preset range; the constraints include: stress boundary conditions of the grid steel structure members, stress boundary conditions of the concrete side panels, outdoor noise boundary conditions of the grid and lateral connection enclosure structure as a whole, and fatigue stress amplitude boundary conditions of the grid steel structure members;

[0032] The optimal basic parameters are obtained by solving the multi-objective optimization function based on the improved population algorithm.

[0033] A further optimization scheme is to solve the multi-objective optimization function based on the improved population algorithm to obtain the optimal basic parameters; including the following methods:

[0034] Each set of basic parameters constitutes a population Q as an individual, initializes the population Q, and configures the first target selection strategy, the second target selection strategy and the fitness evaluation strategy; the first target selection strategy considers the multi-objective optimization function value and the constraints, calculates the fitness of each individual, and sorts and selects according to the fitness; the second target selection strategy considers the multi-objective optimization function value to perform the first sorting, normalizes the first sorting result, calculates the selection probability, and selects according to the selection probability; the fitness is calculated according to the following formula: Fitness R=Rx+1 / [dist(x, x')+2]; where Rx represents the number of dominating individuals x; x' represents the nearest individual to individual x. solutions, k is the total number of population Q; dist() represents distance calculation;

[0035] Start the tth iteration: divide the population Q into the main population and the auxiliary population; perform crossover mutation on the main population and the auxiliary population to obtain a new main population and a new auxiliary population; merge the main population with the new main population and perform the first target selection according to the first target selection strategy; merge the auxiliary population with the new auxiliary population and perform the second target selection according to the second target selection strategy;

[0036] The fitness evaluation is performed on the first target selection result and the second target selection result. If the evaluation is satisfied, the non-dominated solution is output; otherwise, the t+1th iteration is performed.

[0037] This solution also provides a system for determining the parameters of a lateral connection maintenance system for a grid frame, which is used to implement the above-mentioned method for determining the parameters of a lateral connection maintenance system for a grid frame. The system includes:

[0038] a model construction module for constructing a finite element model of the grid and lateral connection enclosures; the lateral connection enclosures include a steel keel and a concrete side panel connected to the steel keel, the steel keel being evenly provided with a plurality of vertical joints, and the steel keel and the concrete side panel being disconnected at the positions of the vertical joints to form a plurality of independent side panels;

[0039] The simulation analysis module is used to load target load conditions onto the finite element model in the finite element analysis software for multidisciplinary simulation analysis, adjust the basic parameters of the vertical joints to obtain multidisciplinary simulation analysis results under different basic parameters, and extract the key parameters of all basic parameters and auxiliary parameters of some basic parameters from the multidisciplinary simulation analysis results to construct an alternative basic parameter set;

[0040] The calculation block module is used to perform comprehensive subject calculations on the basic parameters in the alternative basic parameter set, and determine the optimal basic parameters of the vertical joints based on a multi-objective optimization algorithm.

[0041] This solution also provides a computer-readable medium having a computer program stored thereon, and the computer program is executed by a processor to implement the above-mentioned method for determining the splitting parameters of the grid lateral connection maintenance system.

[0042] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0043] 1. The present invention provides a method, system, and medium for determining the parameters of the vertical joints in a lateral connection maintenance system for a grid. By constructing a finite element model and conducting multidisciplinary simulation analysis, the present invention can comprehensively consider factors such as structural stress, material properties, and construction errors to accurately determine the width and size of vertical joints, thereby avoiding problems caused by joints that are too wide or too narrow.

[0044] 2. The present invention provides a method, system, and medium for determining the parameters of the lateral connection maintenance system for a grid. Combining multidisciplinary simulation analysis with structural mechanics, acoustics, airflow vibration, and other disciplines, the invention ensures that the design of vertical joints not only meets structural strength requirements but also optimizes sound insulation performance and reduces vibration impacts. By adjusting the basic parameters of the vertical joints, the force distribution of the steel keel and concrete side panels is optimized, thereby improving the overall stiffness, stability, and durability of the structure. This achieves multi-objective optimization, provides a scientific design basis, and reduces reliance on empirical formulas.

[0045] 3. Existing technologies typically rely on empirical formulas or single-disciplinary theories to calculate steel keel joint parameters, making it difficult to comprehensively consider multiple factors such as structural stress, acoustic performance, and airflow vibration. This technical solution, through multidisciplinary simulation analysis, can comprehensively evaluate the design effects of vertical joints. Through simulation analysis and optimization algorithms, it can quickly find the optimal design parameters, thereby improving design efficiency.

[0046] 4. The present invention provides a method, system, and medium for determining the splitting parameters of a truss lateral connection maintenance system. In the process of designing the steel keel splitting parameters, in addition to using the maximum deformation of the steel keel as a key parameter, the stress of the truss steel structure rods and the stress of the concrete side panels, the overall outdoor noise of the truss and the lateral connection enclosure structure, and the fatigue stress amplitude of the truss steel structure rods are predicted as auxiliary parameters. The key parameters and auxiliary parameters are comprehensively combined to jointly determine the steel keel splitting, so that the splitting can fully adapt to the actual stress conditions and operational requirements of the structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following briefly introduces the drawings required for use in the examples. It should be understood that the following drawings only illustrate certain embodiments of the present invention and should not be considered as limiting the scope. A person of ordinary skill in the art can also derive other relevant drawings based on these drawings without inventive effort. In the drawings:

[0048] Figure 1 A flow chart of the method for determining the joint parameters of the lateral connection maintenance system of the grid;

[0049] Figure 2 The system structure diagram is used to determine the joint parameters of the grid lateral connection maintenance system. DETAILED DESCRIPTION

[0050] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with examples and drawings. The exemplary embodiments of the present invention and their descriptions are only used to explain the present invention and are not intended to limit the present invention.

[0051] If the vertical joints are too wide, the structure may be insufficiently rigid and affect overall stability. If the vertical joints are too narrow, the overall stress cannot be effectively reduced, making it difficult to achieve the desired design effect. The design of the joint width and size requires comprehensive consideration of factors such as structural stress, material properties, and construction errors. It is difficult to accurately determine them through simple theoretical calculations or empirical formulas. In view of this, the present invention provides the following embodiments to solve the above technical problems:

[0052] Example 1: This example provides a method for determining the parameters of the lateral connection maintenance system of the grid, such as Figure 1 Shown, including:

[0053] Step 1: Construct a finite element model of the grid and lateral connection enclosure; the lateral connection enclosure includes a steel keel and a concrete side panel connected to the steel keel, the steel keel is evenly provided with a plurality of vertical joints, and the steel keel and the concrete side panel are disconnected at the vertical joints to form a plurality of independent side panels;

[0054] Although the grid and lateral connection enclosure can achieve shared load-bearing, a large tensile force will still be generated at the bottom of the side panel. This solution divides the entire concrete side panel into independent side panels by setting vertical joints on the steel keel, reducing the unit area of ​​the concrete side panel and weakening the overall load-bearing characteristics formed by the main structure, thereby reducing internal forces and effectively reducing the tensile force at the bottom of the concrete side panel, thereby reducing the number of steel bars required to resist the internal forces.

[0055] Step 2: In the finite element analysis software, target load conditions are applied to the finite element model for multidisciplinary simulation analysis. The basic parameters of the vertical joints are adjusted to obtain multidisciplinary simulation analysis results under different basic parameters. The key parameters of all basic parameters and auxiliary parameters of some basic parameters are extracted from the multidisciplinary simulation analysis results to construct an alternative basic parameter set.

[0056] In step 2, the multidisciplinary simulation analysis includes structural simulation analysis, acoustic simulation analysis and airflow vibration analysis;

[0057] The structural simulation analysis results include stress, strain and displacement; the acoustic simulation analysis results include sound pressure level and sound transmission loss; and the airflow vibration analysis results include component fatigue response caused by airflow vibration.

[0058] In the simulation process, a model database can be established to realize the interactive design of MidasGen / 3D3S conventional structure design, SAP2000 fatigue design and INSUL acoustic noise reduction design data;

[0059] The method of extracting key parameters of all basic parameters and auxiliary parameters of some basic parameters from the multidisciplinary simulation analysis results includes:

[0060] S21, constructing a first proxy model based on the structural analysis results of the steel keel, and extracting the maximum deformation of the steel keel as a key parameter;

[0061] S22, setting a preset threshold and screening a set of candidate basic parameters from the key parameters. To reduce unnecessary calculations, this solution performs a rough screening after extracting the maximum deformation of the steel keel, directly eliminating basic parameters whose maximum deformation does not meet the requirements, and omitting subsequent auxiliary parameter calculations. This saves computing resources and improves the efficiency of determining the steel keel joint parameters.

[0062] S23, predicting auxiliary parameters based on the basic parameters in the candidate basic parameter set:

[0063] A second proxy model is constructed to predict the stress of the grid steel members and the stress of the concrete side panels as auxiliary parameters based on the structural analysis results of the grid and concrete side panels.

[0064] A third proxy model is constructed to predict the outdoor noise of the grid and the lateral connection enclosure structure as a whole based on the acoustic simulation analysis results of the grid and the lateral connection enclosure structure as a whole, and to use it as an auxiliary parameter;

[0065] The fourth proxy model is constructed to predict the fatigue stress amplitude of the steel structure members of the grid as an auxiliary parameter based on the airflow vibration analysis results of the grid.

[0066] The first and second surrogate models are radial basis function models; the third and fourth surrogate models are response surface models; the radial basis function model is expressed as: ;

[0067] Among them, C i represents the center point matrix corresponding to the i-th first input parameter; m represents the total number of first input parameters; X represents the first input parameter matrix; L(X) represents the first predicted output; σ represents the shape parameter. In the first surrogate model: , in the second agent model: ; represents the weight coefficient of the i-th first input parameter; the response surface model is expressed as:

[0068] ;

[0069] ;

[0070] Where y represents the second predicted output, represents the second input parameter matrix; β represents the coefficient vector, including the constant term, linear term coefficient, interaction term coefficient 2 and secondary term coefficient, which is estimated based on the least squares method; represents the observed value of the second predicted output; e represents the error term.

[0071] In the design of the grid structure for large-scale wind tunnel buildings, the design of steel keel joints is a critical component of the lateral connection enclosure system. The primary function of these joints is to divide the side panels into multiple independent panels, reducing the unit area of ​​the side panels. This reduces the overall stress between the lateral enclosure system and the main grid structure, thereby preventing stress concentration and localized damage. However, traditional methods primarily consider the effects of temperature changes and loading on steel keel deformation, while ignoring the effects of stress and fatigue of other supporting structures (such as the grid steel structure or concrete structure) on joint size. This single-factor design approach may result in joint sizes that fail to fully adapt to the actual structural load conditions. Joint size design affects not only the deformation of the steel keel but also the stress and fatigue of other supporting structures. Excessively large joints may lead to stress concentration in the grid steel structure, increasing the risk of fatigue failure. However, excessively small joints may limit the deformation capacity of the grid steel structure, compromising its overall stability. In addition, the design of the slit size will also affect the outdoor noise level of the wind tunnel; if the slit size is too large, it may cause noise leakage and increase the outdoor noise level; if the slit size is too small, it may limit the ventilation effect and affect the normal operation of the wind tunnel.

[0072] In summary, traditional joint design methods primarily determine joint size based on temperature changes and the deformation of steel keels under load, while ignoring the influence of factors such as the stress and fatigue of other supporting structures and outdoor wind tunnel noise. This single-factor design approach presents significant technical bottlenecks in practical application and is difficult to fully adapt to the actual structural stress conditions and operational requirements.

[0073] In view of this, in the process of designing the parameters of the steel keel joints, this scheme not only uses the maximum deformation of the steel keel as the key parameter, but also predicts the stress of the grid steel structure members and the stress of the concrete side panels, the outdoor noise of the grid and the lateral connection enclosure as a whole, and the fatigue stress amplitude of the grid steel structure members as an auxiliary parameter. The key parameters and auxiliary parameters are combined to jointly determine the steel keel joints so that the joints can fully adapt to the actual stress conditions and operation requirements of the structure. Due to the large amount of simulation calculations in this scheme, this scheme uses a proxy model to extract the key parameters and auxiliary parameters. The specific proxy model can be a response surface model, a Kriging model, a neural network model, etc.

[0074] Step 3: Perform comprehensive interdisciplinary calculations on each basic parameter in the candidate basic parameter set, and determine the optimal basic parameters of the vertical joint based on a multi-objective optimization algorithm. The basic parameters of the vertical joint include: the position and width of the vertical joint; the position of the vertical joint is set at the spacing between two adjacent grids of the steel keel. In step 3, the comprehensive interdisciplinary calculations on each basic parameter in the candidate basic parameter set include the following methods:

[0075] S31, obtaining key parameters and auxiliary parameters of each basic parameter in the candidate basic parameter set;

[0076] S32, determine the comprehensive subject balance value K of each basic parameter according to the following formula: ;

[0077] Among them, F1 represents the stress of the steel structure members of the grid; F2 represents the stress of the concrete side plate; S represents the outdoor noise of the grid and the lateral connection enclosure structure as a whole; P represents the fatigue stress amplitude of the steel structure members of the grid; △L represents the maximum deformation of the steel keel; and e represents the natural base.

[0078] In step three, the optimal basic parameters of the vertical joints are determined based on the multi-objective optimization algorithm; including the following method:

[0079] S301, constructing a multi-objective optimization function and constraint conditions; the multi-objective optimization function includes: the maximum deformation of the steel keel is within a first preset range, and the comprehensive subject equilibrium value of the foundation parameters is within a second preset range; the constraint conditions include: stress boundary conditions of the grid steel structure members, stress boundary conditions of the concrete side panels, outdoor noise boundary conditions of the grid and lateral connection enclosure structure as a whole, and fatigue stress amplitude boundary conditions of the grid steel structure members;

[0080] S302, solving the multi-objective optimization function based on the improved population algorithm to obtain the optimal basic parameters; this step specifically includes the following method:

[0081] S3021, each set of basic parameters constitutes a population Q as an individual, initialize the population Q, and configure the first target selection strategy, the second target selection strategy and the fitness evaluation strategy; the first target selection strategy considers the multi-objective optimization function value and the constraints, calculates the fitness of each individual, and sorts and selects according to the fitness; the second target selection strategy considers the multi-objective optimization function value to perform a first sort, normalizes the first sorting result, calculates the selection probability, and selects according to the selection probability; the fitness is calculated according to the following formula: Fitness R=Rx+1 / [dist(x, x')+2]; where Rx represents the number of dominating individuals x; x' represents the nearest individual to individual x. solutions, k is the total number of population Q; dist() represents distance calculation;

[0082] S3022, start the tth iteration: divide the population Q into a primary population and an auxiliary population; perform crossover mutation on the primary population and the auxiliary population to obtain a new primary population and a new auxiliary population; merge the primary population with the new primary population and perform the first target selection according to the first target selection strategy; merge the auxiliary population with the new auxiliary population and perform the second target selection according to the second target selection strategy;

[0083] S3023, performing fitness evaluation on the first target selection result and the second target selection result, outputting a non-dominated solution if the evaluation is satisfied, otherwise performing the t+1th iteration.

[0084] The material properties of the steel keel and enclosure structure need to be defined in advance, including elastic modulus, Poisson's ratio, density, thermal expansion coefficient, etc. The boundary conditions applied to the finite element model are also set to default based on actual conditions, such as fixed supports and hinged supports, to ensure that the model meets the actual constraints.

[0085] Example 2: This example provides a system for determining the parameters of the lateral connection maintenance system of the grid, such as Figure 2 As shown, the method for determining the splitting parameters of the grid lateral connection maintenance system described in Example 1 is implemented, and the system includes:

[0086] a model construction module for constructing a finite element model of the grid and lateral connection enclosures; the lateral connection enclosures include a steel keel and a concrete side panel connected to the steel keel, the steel keel being evenly provided with a plurality of vertical joints, and the steel keel and the concrete side panel being disconnected at the positions of the vertical joints to form a plurality of independent side panels;

[0087] The simulation analysis module is used to load target load conditions onto the finite element model in the finite element analysis software for multidisciplinary simulation analysis, adjust the basic parameters of the vertical joints to obtain multidisciplinary simulation analysis results under different basic parameters, and extract the key parameters of all basic parameters and auxiliary parameters of some basic parameters from the multidisciplinary simulation analysis results to construct an alternative basic parameter set;

[0088] The calculation block module is used to perform comprehensive subject calculations on the basic parameters in the alternative basic parameter set, and determine the optimal basic parameters of the vertical joints based on a multi-objective optimization algorithm.

[0089] Embodiment 3: This embodiment provides a computer-readable medium having a computer program stored thereon. The computer program is executed by a processor to implement the method for determining the splitting parameters of the grid lateral connection maintenance system as described in Embodiment 1. Specifically, the following steps are performed:

[0090] Step 1: Construct a finite element model of the grid and lateral connection enclosure; the lateral connection enclosure includes a steel keel and a concrete side panel connected to the steel keel, the steel keel is evenly provided with a plurality of vertical joints, and the steel keel and the concrete side panel are disconnected at the vertical joints to form a plurality of independent side panels;

[0091] Step 2: In the finite element analysis software, target load conditions are applied to the finite element model for multidisciplinary simulation analysis. The basic parameters of the vertical joints are adjusted to obtain multidisciplinary simulation analysis results under different basic parameters. The key parameters of all basic parameters and auxiliary parameters of some basic parameters are extracted from the multidisciplinary simulation analysis results to construct an alternative basic parameter set.

[0092] Step 3: Perform comprehensive interdisciplinary calculations on the basic parameters in the alternative basic parameter set, and determine the optimal basic parameters of the vertical joints based on a multi-objective optimization algorithm.

[0093] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for determining the parameters of the lateral connection maintenance system of a grid, characterized in that: include: Construct a finite element model of the grid and lateral connection enclosure; the lateral connection enclosure includes a steel keel and a concrete side panel connected to the steel keel, the steel keel is evenly provided with multiple vertical joints, and the steel keel and concrete side panel are disconnected at the vertical joints to form multiple independent side panels; the basic parameters of the vertical joints include: the position and width of the vertical joints; the position of the vertical joints is set at the spacing between two adjacent grids of the steel keel; In finite element analysis software, target load conditions are applied to the finite element model for multidisciplinary simulation analysis. The basic parameters of the vertical joints are adjusted to obtain multidisciplinary simulation analysis results under different basic parameters. Key parameters of all basic parameters and auxiliary parameters of some basic parameters are extracted from the multidisciplinary simulation analysis results to construct an alternative basic parameter set. The multidisciplinary simulation analysis includes structural simulation analysis, acoustic simulation analysis, and airflow vibration analysis. The structural simulation analysis results include stress, strain, and displacement; the acoustic simulation analysis results include sound pressure level and sound transmission loss; and the airflow vibration analysis results include component fatigue response caused by airflow vibration. The method extracts key parameters of all basic parameters and auxiliary parameters of some basic parameters from the multidisciplinary simulation analysis results; includes the following method: constructing a first proxy model to extract the maximum deformation of the steel keel as a key parameter based on the structural analysis results of the steel keel; setting a preset threshold to screen out an alternative basic parameter set from the key parameters; predicting auxiliary parameters for the basic parameters in the alternative basic parameter set: constructing a second proxy model to predict the stress of the steel structure rods of the grid and the stress of the concrete side panels as auxiliary parameters based on the structural analysis results of the grid and the concrete side panels; constructing a third proxy model to predict the outdoor noise of the grid and the lateral connection enclosure structure as an auxiliary parameter based on the acoustic simulation analysis results of the grid and the lateral connection enclosure structure as a whole; constructing a fourth proxy model to predict the fatigue stress amplitude of the steel structure rods of the grid as an auxiliary parameter based on the airflow vibration analysis results of the grid; A comprehensive interdisciplinary calculation is performed on each basic parameter in the alternative basic parameter set, and the optimal basic parameters of the vertical joint are determined based on a multi-objective optimization algorithm.

2. The method for determining the splitting parameters of the lateral connection maintenance system of the grid according to claim 1 is characterized in that: The first and second surrogate models are radial basis function models; the third and fourth surrogate models are response surface models; The radial basis function model is expressed as: ； Among them, C i represents the center point matrix corresponding to the i-th first input parameter; m represents the total number of first input parameters; X represents the first input parameter matrix; L(X) represents the first predicted output; σ represents the shape parameter. In the first surrogate model: , in the second agent model: ; represents the weight coefficient of the i-th first input parameter; The response surface model is expressed as: ； ； Where y represents the second predicted output, represents the second input parameter matrix; β represents the coefficient vector, including the constant term, linear term coefficient, interaction term coefficient 2 and secondary term coefficient, which is estimated based on the least squares method; represents the observed value of the second predicted output; e represents the error term.

3. The method for determining the joint parameters of the lateral connection maintenance system of the grid according to claim 1 is characterized in that: The method of performing comprehensive subject calculation on each basic parameter in the candidate basic parameter set includes: Obtain key parameters and auxiliary parameters of each basic parameter in the candidate basic parameter set; The comprehensive subject balance value K of each basic parameter is determined according to the following formula: ; Among them, F1 represents the stress of the steel structure members of the grid; F2 represents the stress of the concrete side plate; S represents the outdoor noise of the grid and the lateral connection enclosure structure as a whole; P represents the fatigue stress amplitude of the steel structure members of the grid; △L represents the maximum deformation of the steel keel; and e represents the natural base.

4. The method for determining the joint parameters of the lateral connection maintenance system of the grid according to claim 1 is characterized in that: Determining the optimal basic parameters of the vertical joints based on the multi-objective optimization algorithm; Includes methods: Construct multi-objective optimization functions and constraints; The multi-objective optimization function includes: the maximum deformation of the steel keel is within a first preset range, and the comprehensive subject equilibrium value of the basic parameters is within a second preset range; the constraint conditions include: the stress boundary conditions of the grid steel structure members, the stress boundary conditions of the concrete side panels, the outdoor noise boundary conditions of the grid and the lateral connection enclosure structure as a whole, and the fatigue stress amplitude boundary conditions of the grid steel structure members; The optimal basic parameters are obtained by solving the multi-objective optimization function based on the improved population algorithm.

5. The method for determining the joint parameters of the lateral connection maintenance system of the grid according to claim 4 is characterized in that: The improved population algorithm is used to solve the multi-objective optimization function to obtain the optimal basic parameters; Includes methods: Each set of basic parameters constitutes a population Q as an individual, initializes the population Q, and configures the first target selection strategy, the second target selection strategy and the fitness evaluation strategy; the first target selection strategy considers the multi-objective optimization function value and the constraints, calculates the fitness of each individual, and sorts and selects according to the fitness; the second target selection strategy considers the multi-objective optimization function value to perform the first sorting, normalizes the first sorting result, calculates the selection probability, and selects according to the selection probability; the fitness is calculated according to the following formula: Fitness R=Rx+1 / [dist(x, x')+2]; where Rx represents the number of dominating individuals x; x' represents the nearest individual to individual x. solutions, k is the total number of population Q; dist() represents distance calculation; Start the tth iteration: divide the population Q into the main population and the auxiliary population; perform crossover mutation on the main population and the auxiliary population to obtain a new main population and a new auxiliary population; merge the main population with the new main population and perform the first target selection according to the first target selection strategy; merge the auxiliary population with the new auxiliary population and perform the second target selection according to the second target selection strategy; The fitness evaluation is performed on the first target selection result and the second target selection result. If the evaluation is satisfied, the non-dominated solution is output; otherwise, the t+1th iteration is performed.

6. The grid lateral connection maintenance system joint parameter determination system is characterized by: A method for determining seam parameters of a grid lateral connection maintenance system according to any one of claims 1 to 5, the system comprising: a model construction module for constructing a finite element model of the grid and lateral connection enclosures; the lateral connection enclosures include a steel keel and a concrete side panel connected to the steel keel, the steel keel being evenly provided with a plurality of vertical joints, and the steel keel and the concrete side panel being disconnected at the positions of the vertical joints to form a plurality of independent side panels; The simulation analysis module is used to load target load conditions onto the finite element model in the finite element analysis software for multidisciplinary simulation analysis, adjust the basic parameters of the vertical joints to obtain multidisciplinary simulation analysis results under different basic parameters, and extract the key parameters of all basic parameters and auxiliary parameters of some basic parameters from the multidisciplinary simulation analysis results to construct an alternative basic parameter set; The calculation block module is used to perform comprehensive subject calculations on the basic parameters in the alternative basic parameter set, and determine the optimal basic parameters of the vertical joints based on a multi-objective optimization algorithm.

7. A computer-readable medium having a computer program stored thereon, characterized in that: The computer program is executed by a processor to implement the method for determining the splitting parameters of the grid lateral connection maintenance system as described in any one of claims 1 to 5.

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