CN117592172A - Reverse design method and system for deformation control of foundation pit support structure - Google Patents
Reverse design method and system for deformation control of foundation pit support structure Download PDFInfo
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Abstract
The application provides a reverse design method and a reverse design system for deformation control of a foundation pit support structure, wherein the method comprises the following steps: determining a deformation calculation model A of the target foundation pit support structure to obtain an environment parameter B of the target foundation pit support structure, selecting a meta-heuristic algorithm C to generate a design parameter D of the target foundation pit support structure, and taking a union of B and D as a calculation parameter A to obtain deformation and internal force distribution of the target foundation pit support structure; and (3) determining a deformation control criterion E, applying E to deformation and internal force distribution to construct a deformation control optimization model F, carrying out iterative search on the F according to C to obtain an optimal parameter solution set G, and selecting a scheme which accords with engineering practice from the G as an optimal design scheme of a reverse design process. The method solves the problems of low efficiency and insufficient science and comprehensiveness of general parameter searching during searching optimal parameters in the existing reverse design process through the deformation calculation model, the deformation control optimization model and meta heuristic searching.
Description
Technical Field
The application relates to the technical field of foundation pits in civil engineering, in particular to a reverse design method and system for deformation control of a foundation pit support structure.
Background
As the design and construction of foundation pit engineering is gradually changed from strength design to deformation control design, deformation control is increasingly important for the design stage of engineering. Current deformation control design methods are often implemented through excessive safety design, and this design mode often causes huge waste. The current engineering specifications and the safety requirements of field engineering often have certain allowable values for the deformation of the actual engineering, and the active control of the design deformation can achieve the purposes of reducing the cost and improving the production efficiency. Therefore, deformation prediction is firstly carried out on the foundation pit support structure, and targeted design is carried out based on deformation control, so that the safety of the engineering structure can be actively controlled, and meanwhile, excessive design can be effectively prevented by deformation control design, so that the engineering cost is saved, and the economic benefit is improved.
In foundation pit engineering, the traditional forward design flow always gradually deduces a design scheme meeting engineering requirements from preset parameters and standards, but the method is always worry about the active control of deformation. The reverse design method breaks through the limitation, and the design parameters and the scheme are reversely deduced according to the actual deformation control requirement from the actual engineering requirement, so that the design is more fit with the actual working condition, the adaptability and the safety of foundation pit engineering are effectively improved, meanwhile, the occurrence of excessive design can be avoided by accurate design, and the economic benefit is improved.
However, the reverse design process often requires searching for optimal parameters in large scale of possible parameter combinations, and general parameter searching has problems of low efficiency and insufficient science and comprehensiveness.
Disclosure of Invention
Based on the above, the application provides a reverse design method and a reverse design system for deformation control of a foundation pit support structure, which aim to solve the problems of low efficiency and insufficient scientific and comprehensive search of general parameters when searching optimal parameters in the existing reverse design process.
A first aspect of the embodiments provides a method for controlling reverse design of deformation of a foundation pit enclosure, including:
determining a deformation calculation model A of a target foundation pit support structure, and obtaining an environmental parameter B of the target foundation pit support structure according to the deformation calculation model A; selecting a meta-heuristic algorithm C, and generating a design parameter D of the target foundation pit support structure according to the meta-heuristic algorithm C; taking the union of the environmental parameter B and the design parameter D as the calculation parameter of the deformation calculation model A to obtain the deformation and internal force distribution of the target foundation pit support structure;
determining a deformation control criterion E, and applying the deformation control criterion E to the deformation and internal force distribution of the target foundation pit support structure to construct a deformation control optimization model F;
and carrying out iterative search on the deformation control optimization model F according to the meta-heuristic algorithm C to obtain an optimal parameter solution set G, and selecting a calculation parameter combination meeting engineering requirements from the optimal parameter solution set G as an optimal design scheme of a reverse design process.
As an optional implementation manner of the first aspect, the step of selecting a meta-heuristic algorithm C, and generating the design parameter D of the target foundation pit enclosure according to the meta-heuristic algorithm C includes:
and selecting a genetic algorithm as a meta-heuristic algorithm C for searching, and binary coding the design parameter D according to the genetic algorithm.
As an optional implementation manner of the first aspect, the step of using the union of the environmental parameter B and the design parameter D as the calculation parameter of the deformation calculation model a to obtain the deformation and the internal force distribution of the target foundation pit enclosure includes:
calculating each parameter in the parameters according to binary conversion, and splicing the parameters end to form a group of genotypes to be used as an individual of a genetic algorithm.
As an optional implementation manner of the first aspect, the step of constructing the deformation control optimization model F includes:
the deformation and internal force distribution of the target foundation pit support structure are enabled to approach to a preset minimum control value, and a specific calculation formula of the preset minimum control value is as follows:
，
wherein,representing said preset minimum control value,/->Control value representing deformation of side wall of foundation pit support structure, < ->Representing the maximum deformation value of the side wall of the foundation pit support structure, < ->Control value representing deformation of top end of foundation pit support structure, < ->Represents the maximum deformation value of the foundation pit enclosure wall roof, w represents the horizontal deformation function of the foundation pit enclosure structure about z, and z represents the depth relative to the foundation pit roof.
As an optional implementation manner of the first aspect, a calculation formula of the control value of the deformation of the side wall of the foundation pit support structure is:
，
the calculation formula of the control value of the deformation of the top end of the foundation pit support structure is as follows:
，
wherein x represents a deformation value of the side wall, y represents a deformation value of the top wall,is a safety control coefficient.
As an optional implementation manner of the first aspect, the step of determining the deformation control criterion E includes:
limiting the maximum deformation of the target foundation pit support structure, and considering that the maximum deformation does not exceed a preset limiting value as a safety value, wherein the maximum deformation is specifically expressed as:
，
。
as an optional implementation manner of the first aspect, the step of obtaining the optimal parameter solution set G includes:
setting the control valueAnd adding the calculated parameters to the optimal parameter solution set.
A second aspect of embodiments of the present application provides a foundation pit enclosure deformation control reverse design system, comprising:
the deformation calculation model module is used for determining a deformation calculation model A of the target foundation pit support structure and obtaining an environmental parameter B of the target foundation pit support structure according to the deformation calculation model A; selecting a meta-heuristic algorithm C, and generating a design parameter D of the target foundation pit support structure according to the meta-heuristic algorithm C; taking the union of the environmental parameter B and the design parameter D as the calculation parameter of the deformation calculation model A to obtain the deformation and internal force distribution of the target foundation pit support structure;
the deformation control optimization model module is used for determining a deformation control criterion E, and applying the deformation control criterion E to the deformation and internal force distribution of the target foundation pit support structure so as to construct a deformation control optimization model F;
and the meta heuristic search module is used for carrying out iterative search on the deformation control optimization model F according to the meta heuristic algorithm C so as to obtain an optimal parameter solution set G, and selecting a calculation parameter combination meeting engineering requirements from the optimal parameter solution set G as an optimal design scheme of a reverse design process.
A third aspect of the embodiments of the present application provides a storage medium storing one or more programs that when executed by a processor implement the above-described method for controlling reverse design of deformation of a foundation pit enclosure.
A fourth aspect of the embodiments of the present application provides a computer device, where the memory is configured to store a computer program, and the processor is configured to implement the method for controlling reverse design of deformation of a foundation pit enclosure when executing the computer program stored on the memory.
Compared with the prior art, the embodiment of the application has the beneficial effects that:
the deformation control reverse design method for the foundation pit support structure comprises three steps of deformation calculation model, deformation control optimization model and meta heuristic search. Firstly, the deformation calculation model can be used for converting the environmental parameters and design parameters of the foundation pit support structure into stress and deformation conditions of the foundation pit support structure, and meanwhile, the environmental parameters and design parameters of the foundation pit support structure are considered, so that finally input calculation parameter data are more comprehensive and accurate; by introducing the deformation control optimization model, the deformation control rule of the foundation pit support structure is defined, so that the maximum deformation value is limited within a safe range value, and the obtained deformation control optimization model is more scientific and reasonable; and then, performing iterative search of feasible solution parameter combinations through a meta heuristic search algorithm, and selecting an optimal parameter solution set, so that the automation of the reverse design process can be realized. Therefore, the method provided by the application can solve the problems of low efficiency and insufficient scientific and comprehensive searching existing in general parameter searching when searching the optimal parameters in the existing reverse design process.
The three steps can be used for predicting the stress and deformation which possibly occur in the design process of the foundation pit and realizing deformation control aiming at the deformation control rule; meanwhile, under the current working flow, the design process of the foundation pit support structure can be completely automated. By means of the deformation-based reverse design automatic design method, the current engineering design flow can be improved, the overall economic benefit of engineering is improved on the design scheme, the construction cost and time are reduced, and sustainable and efficient green civil engineering construction is finally achieved.
Drawings
FIG. 1 is a flow chart of a method for controlling reverse design of deformation of a foundation pit enclosure according to a first embodiment of the present disclosure;
FIG. 2 is a flow chart of a method for controlling reverse design of deformation of a foundation pit enclosure according to a second embodiment of the present disclosure;
FIG. 3 is a cross-sectional view of a design of a foundation pit enclosure in a second embodiment of the present application;
FIG. 4 is a stratigraphic information diagram of a foundation pit support structure design in a second embodiment of the present application;
FIG. 5 is an environmental parameter information diagram of a foundation pit enclosure design in a second embodiment of the present application;
FIG. 6 is a gene mosaic of a genetic algorithm in a second embodiment of the present application;
FIG. 7 is a diagram of the data of the optimal parameter solution set obtained by searching using the genetic algorithm in the second embodiment of the present application;
fig. 8 is a schematic structural diagram of a deformation control reverse design system for a foundation pit support structure according to a third embodiment of the present application.
The following detailed description will further illustrate the application in conjunction with the above-described figures.
Detailed Description
In order to facilitate an understanding of the present application, a more complete description of the present application will now be provided with reference to the relevant figures. Several embodiments of the present application are presented in the accompanying drawings. This application may, however, be embodied in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
In order to illustrate the technical solutions described in the present application, the following description is made by specific examples.
Referring to fig. 1, a flowchart of a method for controlling reverse design of deformation of a foundation pit support structure according to a first embodiment of the present application is shown in detail as follows:
step S1: and determining a deformation calculation model A of the target foundation pit support structure, and obtaining an environmental parameter B of the target foundation pit support structure according to the deformation calculation model A.
Step S2: and selecting a meta-heuristic algorithm C, and generating a design parameter D of the target foundation pit support structure according to the meta-heuristic algorithm C.
Step S3: and taking the union of the environmental parameter B and the design parameter D as the calculation parameter of the deformation calculation model A to obtain the deformation and internal force distribution of the target foundation pit support structure.
Alternatively, the deformation calculation model a may be described by a theoretical formula method using some mathematical formulas, by an artificial intelligence method using a neural network, a gray prediction, a decision tree, or other machine learning models, or by a numerical calculation method using finite element or discrete element calculation software such as ANSYS, ABAQUS, PLAXIS, FLAC, PFC.
Specifically, the deformation calculation model a receives the union of the environmental parameter B and the design parameter D as input, and after calculation for a certain time, the deformation calculation model a can output deformation and internal force distribution conditions of the foundation pit support structure.
It should be noted that, the environmental parameter B describes an unchangeable parameter determined by the environment and the design target in the computing parameters of the foundation pit engineering, including geological characteristics of the position of the foundation pit engineering, overload characteristics of the periphery of the foundation pit, planned design dimensions of the foundation pit, and the like. These parameters describe the basic characteristics of the foundation pit itself and the loading characteristics of the location of the foundation pit. In a given pit engineering, these parameters are all invariable constants.
It should be noted that, the meta-heuristic algorithm C should be a meta-heuristic algorithm capable of performing a semi-random search within the range of values of the design parameter D. Before search operation, different meta-heuristic algorithms generally need to perform corresponding coding on input parameters related to the algorithm according to the characteristics of the algorithm, for example, a genetic algorithm needs to code variable design parameters D into a gene character string according to a specified rule before iterative computation, and a particle swarm algorithm and a cuckoo algorithm need to code the design parameters D into position coordinates before iterative computation.
It should be noted that, the design parameter D is a variable parameter describing design characteristics of the foundation pit support structure. The foundation pit support structure is designed by determining the size and mechanical characteristics of the main body structure according to environmental parameters in the design process, wherein the design parameters comprise the design length, the design thickness, the number of horizontal supports, the section characteristics and the like of the foundation pit support structures on two sides of the excavation. These parameters determine the physical characteristics of the foundation pit support structure and accurately describe the design results of the foundation pit support structure.
It should be noted that, in the possibilities of numerous parameter combinations in the environment parameters B and the design parameters D of the foundation pit support structure, the meta-heuristic search algorithm searches for a calculation method of a set of parameter combinations that best satisfies the optimization objective function among all possible parameter combinations based on a given optimization objective. The meta heuristic algorithm is often a semi-random search method, and certain rules are satisfied in the search process, so that the optimal solution can be obtained faster than the pure random search algorithm. Meta-heuristic algorithms that may be used in the present application include, but are not limited to, genetic algorithms, simulated annealing algorithms, cuckoo algorithms, particle swarm algorithms, and the like.
Step S4: and determining a deformation control criterion E, and applying the deformation control criterion E to the deformation and internal force distribution of the target foundation pit support structure so as to construct a deformation control optimization model F.
The deformation control criterion E is a range of values of deformation of the foundation pit support structure. In engineering specifications and engineering experience, the maximum deformation of the foundation pit enclosure is generally limited, and it is considered safe that the maximum deformation of the foundation pit enclosure does not exceed a certain limit value. Deformation control criteria in this application include, but are not limited to, rules or methods that control the maximum deformation of the foundation pit enclosure or that describe the enclosure deformation limits. The mathematical expression formula for limiting the maximum deformation of the foundation pit support structure is as follows:
，
。
it should be noted that, in the judging of the stress deformation condition of the foundation pit support structure, the deformation control optimization model F can judge whether the deformation and the stress of the foundation pit support structure are continuously approaching to the control values.
Illustratively, the formula of the judgment method is expressed as:
，
wherein,representing said preset minimum control value,/->Control value representing deformation of side wall of foundation pit support structure, < ->Representing the maximum deformation value of the side wall of the foundation pit support structure, < ->Control value representing deformation of top end of foundation pit support structure, < ->Represents the maximum deformation value of the foundation pit enclosure wall roof, w represents the horizontal deformation function of the foundation pit enclosure structure about z, and z represents the depth relative to the foundation pit roof.
Such a determination may include, but is not limited to, the above expression describing a form of a function that requires a minimum to be reached during the calculation.
Further, if the deformation value of the side wall actually controlled in the engineering is x and the deformation value of the wall top is y, then:
，
，
wherein x represents a deformation value of the side wall, y represents a deformation value of the top wall,for the safety control coefficient, the value is required to be taken according to the actual engineering requirement, and is generally 1.2-2.5.
Step S5: and carrying out iterative search on the deformation control optimization model F according to the meta-heuristic algorithm C to obtain an optimal parameter solution set G, and selecting a calculation parameter combination meeting engineering requirements from the optimal parameter solution set G as an optimal design scheme of a reverse design process.
It should be noted that, in the range of the design parameters of the foundation pit support structure, the optimal parameter solution set G is calculated by the specified deformation calculation model a to obtain the combination of one or more groups of environmental parameters and design parameters with the minimum objective function value or meeting the specified requirement. Because the complexity of the calculation model is high, a unique accurate solution cannot be obtained, but in practical application, parameter combinations meeting the condition that the value of the corresponding objective function is smaller than a certain value range can still be used as feasible solutions for design.
Illustratively, when the control value is setAnd adding the calculated parameters to the optimal parameter solution set.
The method for determining the best-effect parameter solution set includes, but is not limited to, the above-described method satisfying the specified value range, and the like, and is a method capable of defining a good-effect and bad-effect scheme.
In summary, according to the deformation control reverse design method for the foundation pit support structure, firstly, the deformation calculation model is used for converting the environmental number and design parameters of the foundation pit support structure into the stress and deformation conditions of the foundation pit support structure, and meanwhile, the environmental parameters and design parameters of the foundation pit support structure are considered, so that finally input calculation parameter data are more comprehensive and accurate; by introducing the deformation control optimization model, the deformation control rule of the foundation pit support structure is defined, so that the maximum deformation value is limited in a safety range, and the obtained deformation control optimization model is more scientific and reasonable; and then, performing iterative search of feasible solution parameter combinations through a meta heuristic search algorithm, and selecting an optimal parameter solution set, so that the automation of the reverse design process can be realized. Therefore, the method provided by the application can solve the problems of low efficiency and insufficient scientific and comprehensive searching existing in general parameter searching when searching the optimal parameters in the existing reverse design process.
Referring to fig. 2, a flow chart of a method for controlling reverse design of deformation of a foundation pit enclosure according to a second embodiment of the present application is shown, taking a certain subway foundation pit engineering as an example. The width of the foundation pit is 47.9m, the foundation pits on two sides are symmetrically excavated to 12.39m, an earthwork vehicle transportation road is arranged on one side of the foundation pit, the overload outside the pit is estimated to be 50 kPa, and the other side is free from road or design overload. The natural slope is arranged outside 10m on two sides of the subway foundation pit, and a certain natural overload can be considered to exist. In practical engineering design, the design length of the guard post on one overload side of the foundation pit is 16.39 m, the design length of the guard post on the other overload side of the foundation pit is 14.39m, the thickness of the retaining wall is 1m, and the design sectional view of the foundation pit guard structure is shown in fig. 3.
The reverse design step of deformation control for the project is as follows:
step S01: and determining a deformation calculation model of the subway foundation pit engineering, and calculating environmental parameters required by finishing the deformation of the foundation pit support structure based on the deformation calculation model.
It should be noted that, first, the local and surrounding environments of the foundation pit support structure, such as stratum characteristics, and overload of the periphery of the foundation pit, are known. The stratum information of the foundation pit support structure design is shown in fig. 4, and the environment parameter information is shown in fig. 5.
Step S02: genetic algorithms are selected as meta-heuristic search algorithms to obtain design parameters.
Step S03: binary coding is carried out on design parameters, each parameter in the parameters is calculated, and the parameters are spliced together end to form a group of genotypes which are used as an individual of a genetic algorithm.
It should be noted that, as shown in fig. 6, the genetic algorithm is a gene mosaic diagram, and the search process of the genetic algorithm implements parameter combination iteration and rapid search by selecting, crossing and mutating and elite selection on codes.
Step S04: setting up=2, derived from the calculation formula of the deformed control value +.>Andas a deformation control criterion for the foundation pit support structure.
Step S05: according to individual coding rules of a genetic algorithm, initializing a calculation population according to a uniform distribution method.
Specifically, in the application, for the sake of calculation simplification, only the design length and thickness of the two-sided fender piles and the number of horizontal supports are selected as design parameters, and the method for initializing the population is as follows: presetting 5 as the value range of the length of the left side wall pileThe values of the multiples, such as 140dm, 145dm, 150dm and the like, are taken to be 180 and dm for 9 groups; the design length of the right side wall pile is divided into 6 groups in the value range by taking 22 dm as a multiple; the thickness of the fender post is divided into 3 groups in the value range by taking 3dm as a multiple, and the number of the horizontal supports is respectively calculated as 1, 2 and 3. Taking 35 for the axial stiffness of the horizontal support for simplifying the search, the number of initialized populations is:a group.
Step S06: and (3) carrying out genetic algorithm iteration on the initialized population until a parameter solution set with the best optimization model effect is obtained.
Specifically, fig. 7 shows a data diagram of the optimal parameter solution set obtained by searching using a genetic algorithm.
Step S07: and combining actual engineering experience to find a design parameter combination suitable for the current engineering in the parameter solution set.
Specifically, a first set of parameters is selected in this case, and the engineering deformation control reverse design is completed by using the first set of parameters.
Referring to fig. 8, a schematic structural diagram of a system for controlling reverse design of deformation of a foundation pit enclosure according to a third embodiment of the present application is shown, where the system includes:
the deformation calculation model module 10 is used for determining a deformation calculation model A of the target foundation pit support structure, and obtaining an environmental parameter B of the target foundation pit support structure according to the deformation calculation model A; selecting a meta-heuristic algorithm C, and generating a design parameter D of the target foundation pit support structure according to the meta-heuristic algorithm C; taking the union of the environmental parameter B and the design parameter D as the calculation parameter of the deformation calculation model A to obtain the deformation and internal force distribution of the target foundation pit support structure;
the deformation control optimization model module 20 is configured to determine a deformation control criterion E, and apply the deformation control criterion E to deformation and internal force distribution of the target foundation pit support structure to construct a deformation control optimization model F;
and the meta-heuristic search module 30 is configured to perform iterative search on the deformation control optimization model F according to the meta-heuristic algorithm C to obtain an optimal parameter solution set G, and select a calculation parameter combination meeting engineering requirements from the optimal parameter solution set G as an optimal design scheme of a reverse design process.
In another aspect, the present application further provides a storage medium storing one or more programs that, when executed by a processor, implement the above-described method for controlling reverse design of deformation of a foundation pit enclosure.
The application also provides a computer device, which comprises a memory and a processor, wherein the memory is used for storing a computer program, and the processor is used for realizing the method for controlling reverse design of deformation of the foundation pit support structure when executing the computer program stored on the memory.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. The method for controlling reverse design of deformation of the foundation pit support structure is characterized by comprising the following steps:
determining a deformation calculation model A of a target foundation pit support structure, and obtaining an environmental parameter B of the target foundation pit support structure according to the deformation calculation model A; selecting a meta-heuristic algorithm C, and generating a design parameter D of the target foundation pit support structure according to the meta-heuristic algorithm C; taking the union of the environmental parameter B and the design parameter D as the calculation parameter of the deformation calculation model A to obtain the deformation and internal force distribution of the target foundation pit support structure;
determining a deformation control criterion E, and applying the deformation control criterion E to the deformation and internal force distribution of the target foundation pit support structure to construct a deformation control optimization model F;
and carrying out iterative search on the deformation control optimization model F according to the meta-heuristic algorithm C to obtain an optimal parameter solution set G, and selecting a calculation parameter combination meeting engineering requirements from the optimal parameter solution set G as an optimal design scheme of a reverse design process.
2. The method of claim 1, wherein the step of selecting a meta-heuristic algorithm C to generate the design parameters D of the target foundation pit enclosure according to the meta-heuristic algorithm C comprises:
and selecting a genetic algorithm as a meta-heuristic algorithm C for searching, and binary coding the design parameter D according to the genetic algorithm.
3. The method of claim 2, wherein the step of obtaining the deformation and internal force distribution of the target foundation pit enclosure by using the union of the environmental parameter B and the design parameter D as the calculation parameters of the deformation calculation model a comprises:
calculating each parameter in the parameters according to binary conversion, and splicing the parameters end to form a group of genotypes to be used as an individual of a genetic algorithm.
4. The method of reverse design for deformation control of a foundation pit enclosure according to claim 3, wherein the step of constructing the deformation control optimization model F comprises:
the deformation and internal force distribution of the target foundation pit support structure are enabled to approach to a preset minimum control value, and a specific calculation formula of the preset minimum control value is as follows:
，
wherein,representing said preset minimum control value,/->Control value representing deformation of side wall of foundation pit support structure, < ->Representing the maximum deformation value of the side wall of the foundation pit support structure, < ->Control value representing deformation of top end of foundation pit support structure, < ->Represents the maximum deformation value of the foundation pit enclosure wall roof, w represents the horizontal deformation function of the foundation pit enclosure structure about z, and z represents the depth relative to the foundation pit roof.
5. The method for reverse design of deformation control of a foundation pit support structure according to claim 4, wherein the calculation formula of the control value of the deformation of the side wall of the foundation pit support structure is:
，
the calculation formula of the control value of the deformation of the top end of the foundation pit support structure is as follows:
，
wherein x represents a deformation value of the side wall, y represents a deformation value of the top wall,is a safety control coefficient.
6. The method of reverse design of deformation control of a foundation pit enclosure of claim 5, wherein the step of determining the deformation control criteria E comprises:
limiting the maximum deformation of the target foundation pit support structure, and considering that the maximum deformation does not exceed a preset limiting value as a safety value, wherein the maximum deformation is specifically expressed as:
，
。
7. the method of reverse design for deformation control of a foundation pit enclosure of claim 6, wherein the step of obtaining the optimal set of parameter solutions G comprises:
setting the control valueAnd adding the calculated parameters to the optimal parameter solution set.
8. A foundation pit enclosure deformation control reverse design system, the system comprising:
the deformation calculation model module is used for determining a deformation calculation model A of the target foundation pit support structure and obtaining an environmental parameter B of the target foundation pit support structure according to the deformation calculation model A; selecting a meta-heuristic algorithm C, and generating a design parameter D of the target foundation pit support structure according to the meta-heuristic algorithm C; taking the union of the environmental parameter B and the design parameter D as the calculation parameter of the deformation calculation model A to obtain the deformation and internal force distribution of the target foundation pit support structure;
the deformation control optimization model module is used for determining a deformation control criterion E, and applying the deformation control criterion E to the deformation and internal force distribution of the target foundation pit support structure so as to construct a deformation control optimization model F;
and the meta heuristic search module is used for carrying out iterative search on the deformation control optimization model F according to the meta heuristic algorithm C so as to obtain an optimal parameter solution set G, and selecting a calculation parameter combination meeting engineering requirements from the optimal parameter solution set G as an optimal design scheme of a reverse design process.
9. A storage medium, comprising: the storage medium stores one or more programs that when executed by a processor implement the method of controlling reverse engineering of foundation pit enclosure deformation according to any one of claims 1-7.
10. A computer device comprising a memory and a processor, wherein:
the memory is used for storing a computer program;
the processor is configured to implement the method for controlling reverse design of foundation pit enclosure deformation according to any one of claims 1-7 when executing the computer program stored on the memory.
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