Configuration method and equipment of bio-based telescopic supporting structure and medium

Abstract

The invention discloses a configuration method and equipment of a bio-based telescopic supporting structure and a medium, and relates to the technical field of civil engineering. The method comprises the steps that the size and shape of a deep foundation pit supporting structure are obtained, and a geometric model of the supporting structure is created; inputting material attribute parameters of the current supporting structure into the geometric model, and inputting material attribute parameters of the bio-based structure at the same time to obtain a supporting model; establishing a geologic model by utilizing the geologic exploration data, coupling the geologic model with the support model, and dividing the geologic model and the support model by adopting a self-adaptive grid; a stress monitor is arranged in a stress concentration area of the supporting structure, the geologic model and the supporting model are dynamically updated, and the deformation amount is checked so as to update the expansion amount of the supporting structure and the density and the shape of the grid. According to the method, the supporting structure of the deep foundation pit is adjusted in real time, the bio-based material with lower cost and better performance is used, and the total cost is reduced.

Description

Technical Field

[0001] The present application relates to the field of civil engineering technology, and in particular to a configuration method, equipment and medium of a bio-based retractable support structure. Background Art

[0002] With the acceleration of urbanization, more and more high-rise buildings and underground space development are being carried out in cities, which puts higher requirements on deep foundation pit support technology. The technical challenges faced by deep foundation pit projects are constantly increasing, such as complex geological conditions, large foundation pit depth, and sensitive surrounding environment. These have prompted the deep foundation pit support construction technology to be innovated and optimized.

[0003] At present, deep foundation pit support construction mainly relies on soil nail wall support technology, anchor support technology, steel sheet pile support technology, underground continuous wall support technology, SMW (Soil Mixing Wall, steel cement soil mixing wall) method and reverse construction technology. In projects with complex site conditions, deep foundation pit excavation depth and high active support requirements, the existing support methods have poor flexibility and adjustability; current traditional materials mostly use steel and concrete, which are costly, steel is easily corroded, concrete has a large deadweight and poor ductility.

[0004] Through the above analysis, the problems and defects of the prior art are as follows:

[0005] The deep foundation pit support structure in the prior art cannot be adjusted, and the current traditional materials are costly, and have relatively poor flexibility and adjustability. Summary of the invention

[0006] The embodiments of the present application provide a configuration method, equipment and medium for a bio-based retractable support structure, which can solve the problems in the prior art that the deep foundation pit support structure cannot be adjusted, and the current traditional materials have high costs and relatively poor flexibility and adjustability.

[0007] In a first aspect, an embodiment of the present application provides a method for configuring a bio-based retractable support structure, the method comprising: obtaining the size and shape of a deep foundation pit support structure and creating a geometric model of the support structure; inputting material property parameters of the current support structure into the geometric model and simultaneously inputting material property parameters of the bio-based material to obtain a support model; establishing a geological model using geological exploration data, coupling it with the support model, and using adaptive grids to divide the geological model and the support model; setting a stress monitor in a stress concentration area of ​​the support structure, dynamically updating the geological model and the support model, and checking the deformation amount to update the expansion and contraction amount of the support structure, as well as the density and shape of the grid; and using a multi-objective optimization algorithm to determine the optimal parameters of the current support structure material and the bio-based material, respectively, based on the deformation amount.

[0008] In one implementation of the present application, a geological model is established using geological exploration data and coupled with a support model, specifically including: dividing the rock stratigraphic units in the geological exploration data, identifying fault planes and stratigraphic planes, and determining boundaries; converting a two-dimensional geological plan map into a three-dimensional geological model using the topological relationship and boundaries between rock strata; importing the three-dimensional geological model and the support model into the same coordinate system; setting a data transmission interface between the support model and the three-dimensional geological model, and coupling the geological exploration data and material property parameters through the data transmission interface.

[0009] In one implementation of the present application, an adaptive grid is used to divide the geological model and the support model, specifically including: setting a stress monitor and a deformation sensor on the support structure to obtain stress data and deformation data; dividing the stress data and the deformation data into intervals to obtain a stress interval and a deformation interval, and dividing the area where the stress value and the deformation value are higher than a preset threshold into a stress concentration area and a deformation sensitive area; according to the geological exploration data and the stress interval, the density and shape of the grid division are preset.

[0010] In one implementation of the present application, a stress monitor is set in the stress concentration area of ​​the support structure, the geological model and the support model are dynamically updated, and the deformation amount is checked to update the expansion and contraction amount of the support structure, as well as the density and shape of the grid. Specifically, it includes: obtaining real-time data, using an adaptive algorithm, and automatically updating the density and shape of the grid based on error estimation and convergence judgment in the calculation process; based on the real-time monitored stress and deformation data, if the stress and deformation data exceed the first safety threshold, immediately starting the retractable mechanism, and re-monitoring and evaluating the adjusted support structure; if the stress and deformation data exceed the second safety threshold, immediately issuing an early warning.

[0011] In one implementation of the present application, the method also includes: establishing a prediction model of the support structure based on geological exploration data, support structure geometric model and material property parameters; combining the prediction model with the MPC algorithm to perform online optimization calculations to predict the expansion and contraction amount for real-time adjustment.

[0012] In one implementation of the present application, a multi-objective optimization algorithm is used to determine the optimal parameters of the current support structure material and the bio-based material according to the deformation variable, specifically including: defining the economic objective function, the safety objective function and the environmental objective function respectively, wherein the economic objective function includes the raw material cost, the transportation cost and the construction cost, the safety objective function includes the compressive strength, and the environmental objective function includes the production energy consumption; using the current expansion amount, the concrete mix ratio, the amount of admixture and the steel bar diameter as the initial solution, the weighted summation method is used to convert the multiple objectives into a single objective to obtain the fitness value; selection, crossover and mutation are performed according to the fitness value to extract the optimal solution and obtain the optimal interval of the expansion amount.

[0013] In one implementation of the present application, the method also includes: introducing climate and groundwater quality, conducting corrosion resistance tests, weather resistance tests and earthquake resistance tests on bio-based materials, recording test data, and establishing a bio-based material database; testing the contact force and friction force between the bio-based materials and the geological model, and optimizing the bio-based.

[0014] In one implementation of the present application, after defining the economic objective function, safety objective function and environmental objective function respectively, the method also includes: randomly generating a set of initial solutions for expansion, plant fiber content, matrix material type and processing parameters, and calculating the fitness value; performing selection, crossover and mutation according to the fitness value to extract the optimal solution.

[0015] In a second aspect, an embodiment of the present application further provides a configuration device for a bio-based retractable support structure, the device comprising at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can: obtain the size and shape of the deep foundation pit support structure and create a geometric model of the support structure; input the material property parameters of the current support structure into the geometric model, and simultaneously input the material property parameters of the bio-based material to obtain the support model; establish a geological model using geological exploration data, couple it with the support model, and use adaptive gridding to divide the geological model and the support model; set a stress monitor in the stress concentration area of ​​the support structure, dynamically update the geological model and the support model, and check the deformation amount to update the expansion and contraction amount of the support structure, as well as the density and shape of the grid; and use a multi-objective optimization algorithm to determine the optimal parameters of the current support structure material and the bio-based material respectively according to the deformation amount.

[0016] On the third aspect, the embodiment of the present application also provides a non-volatile computer storage medium for configuring a bio-based retractable support structure, which stores computer executable instructions, and the computer executable instructions are set to: obtain the size and shape of the deep foundation pit support structure, and create a geometric model of the support structure; input the material property parameters of the current support structure into the geometric model, and simultaneously input the material property parameters of the bio-based material to obtain the support model; use geological exploration data to establish a geological model, couple it with the support model, and use adaptive grids to divide the geological model and the support model; set a stress monitor in the stress concentration area of ​​the support structure, dynamically update the geological model and the support model, and check the deformation amount to update the expansion and contraction amount of the support structure, as well as the density and shape of the grid; based on the deformation amount, use a multi-objective optimization algorithm to determine the optimal parameters of the current support structure material and the bio-based material respectively.

[0017] The embodiments of the present application provide a configuration method, equipment and medium for a bio-based retractable support structure. By introducing a three-dimensional model, a prediction model and an MPC algorithm, the deep foundation pit support structure can be adjusted in real time to cope with changes in geological and environmental conditions, thereby solving the problem that the deep foundation pit support structure cannot be adjusted and improving the adaptability and safety of the support structure. By using bio-based materials with lower cost and better performance and realizing the adjustability of the support structure, the overall cost of the project can be reduced. The use of bio-based materials helps to reduce pollution and damage to the environment, and they usually have better biodegradability and can be naturally decomposed after use, reducing the long-term impact on the environment. Problems arising during the construction process can be flexibly adjusted according to the actual construction conditions and geological conditions, thereby effectively enhancing the stability of the foundation pit. The focus will be on solving problems such as safety, flexibility, support effect, construction efficiency, and engineering cost, so as to promote the popularization and maturity of retractable structures in practical applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0019] Figure 1 A flow chart of a configuration method of a bio-based retractable support structure provided in an embodiment of the present application;

[0020] Figure 2 An overall logical architecture diagram of a configuration method of a bio-based retractable support structure provided in an embodiment of the present application;

[0021] Figure 3 A schematic diagram of the internal structure of a configuration device for a bio-based retractable support structure provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0023] The embodiments of the present application provide a configuration method, equipment and medium for a bio-based retractable support structure, which solves the problems in the prior art that the deep foundation pit support structure cannot be adjusted, and the current traditional materials have high costs and relatively poor flexibility and adjustability.

[0024] The technical solution proposed in the embodiments of the present application is described in detail below with reference to the accompanying drawings.

[0025] Figure 1 A flow chart of a configuration method of a bio-based retractable support structure provided in an embodiment of the present application. Figure 1 As shown, a configuration method of a bio-based retractable support structure provided in an embodiment of the present application specifically comprises the following steps:

[0026] Step 10: Obtain the size and shape of the deep foundation pit support structure and create a geometric model of the support structure.

[0027] It is understandable that if Figure 2 As shown, before modeling, construction preparation must be carried out first, and the geological conditions of the foundation pit, groundwater conditions, surrounding buildings and underground pipelines and other information must be understood in detail. The support structure design drawings must be carefully reviewed, and the required mechanical equipment, excavators, pile drivers, and grouting machines must be prepared; support materials that meet the requirements, such as steel sheet piles, anchor rods, steel mesh, and grouting materials, must be purchased; monitoring equipment, displacement sensors, and stress sensors must be prepared to monitor the deformation and stress of the support structure in real time; according to the construction drawings, measuring instruments must be used to accurately lay out the boundary lines of the foundation pit and the position lines of the support structure, and control points and leveling points must be set.

[0028] In this step, a geometric model is created in a 3D modeling software based on the actual size and shape of the deep foundation pit support structure to ensure that the model accurately reflects all key features of the support structure, such as telescopic parts and connection nodes.

[0029] Step 20: Input the material property parameters of the current support structure into the geometric model, and simultaneously input the material property parameters of the bio-based material to obtain the support model.

[0030] In the embodiments of the present application, it can be first understood that the raw materials of bio-based materials are mainly derived from renewable resources in nature, such as plant fiber, starch, lignin, etc., which can be converted into building materials with high strength, high toughness and good stability through specific production processes and technical means; in the retractable support structure of deep foundation pits, the application of bio-based materials is mainly reflected in the manufacture of support plates. The support plates are key components of the deep foundation pit support structure. They need to withstand the huge earth pressure and water pressure from the side walls of the foundation pit. Traditional support plate materials such as steel and concrete, although they have high strength and stability, will have a certain impact on the environment during their production and use. Bio-based support plates not only have sufficient strength and stability to meet the requirements of deep foundation pit support, but also have good environmental protection performance and renewability. The production process has little impact on the environment and will not generate a large amount of waste and pollutants. At the same time, the use of bio-based materials can also reduce dependence on non-renewable resources, help protect the ecological environment and achieve sustainable development. In addition, the bio-based support board also has a certain degree of adaptability and can self-adjust according to the deformation of the foundation pit, so as to better maintain the stability and safety of the support structure. This adaptive performance makes the bio-based support board have a wider application prospect in deep foundation pit support.

[0031] In this step, input the material properties of the supporting structure and surrounding soil: elastic modulus, Poisson's ratio, density, etc., to ensure the accuracy of the material properties to reflect the material behavior in the actual project. For example, setting the density of concrete (such as 2400kg / m 3 ), elastic modulus (such as 30GPa), Poisson's ratio (such as 0.2) attribute parameters, density: 1200kg / m 3 , Elastic modulus: 2GPa Poisson's ratio: 0.3 (assumed value, the specific value needs to be determined based on material testing).

[0032] Step 30: Use geological exploration data to establish a geological model, couple it with the support model, and use adaptive grids to divide the geological model and the support model.

[0033] In this step, adaptive meshing technology is used to generate the initial finite element mesh according to the complexity of the geometric model and the analysis requirements, and the mesh is encrypted in key areas (stress concentration points and areas with large deformation) to improve the accuracy of the analysis.

[0034] As an optional embodiment, a geological model is established using geological exploration data and coupled with a support model, which may specifically include: Step 301: Divide the rock stratigraphic units in the geological exploration data, identify fault planes and stratigraphic planes, and determine boundaries; Step 302: Convert the two-dimensional geological plan map into a three-dimensional geological model using the topological relationship and boundaries between rock strata; Step 303: Import the three-dimensional geological model and the support model into the same coordinate system; Step 304: Set a data transmission interface between the support model and the three-dimensional geological model, and couple the geological exploration data and material attribute parameters through the data transmission interface.

[0035] In this step, for example, according to geological exploration data, the strata are divided into different units, such as silty clay, medium sand, and pebble layers. Professional 3D geological modeling software, such as GoCAD, is used, which provides the function of establishing stratum topological relationships. In the modeling software, a 3D model of the strata is established according to the stratum division and contact relationship. The geological exploration data in the 3D geological model is transmitted to the support model through the data transmission interface, including lithology, thickness, inclination, faults, and folds. At the same time, the material property parameters density, elastic modulus, and Poisson's ratio in the support model are transmitted to the 3D geological model.

[0036] As an optional embodiment, the geological model and support model are divided by adaptive grids, which may specifically include: Step 305: Setting stress monitors and deformation sensors on the support structure to obtain stress data and deformation data; Step 306: Dividing the stress data and deformation data into intervals to obtain force intervals and deformation intervals, and dividing the areas where the force values ​​and deformation values ​​are higher than preset thresholds into force concentration areas and deformation sensitive areas; Step 307: Presetting the density and shape of the grid division according to the geological exploration data and the force intervals.

[0037] Step 40: Setting a stress monitor in the stress concentration area of ​​the support structure, dynamically updating the geological model and the support model, checking the deformation amount, so as to update the expansion and contraction amount of the support structure, as well as the density and shape of the grid; As an optional embodiment, setting a stress monitor in the stress concentration area of ​​the support structure, dynamically updating the geological model and the support model, checking the deformation amount, so as to update the expansion and contraction amount of the support structure, as well as the density and shape of the grid, may specifically include: Step 401: Acquiring real-time data, using an adaptive algorithm, automatically updating the density and shape of the grid according to error estimation and convergence judgment in the calculation process; Step 402: Based on the real-time monitored stress and deformation data, if the stress and deformation data exceed the first safety threshold, immediately start the retractable mechanism, and re-monitor and evaluate the adjusted support structure; Step 403: If the stress and deformation data exceed the second safety threshold, immediately issue an early warning.

[0038] In this step, the retractable mechanism is activated as a mechanical operation, the pressure of the supporting device is adjusted, the position of the supporting structure is moved, and the material parameters in the numerical simulation are changed.

[0039] Step 50: Based on the deformation amount, a multi-objective optimization algorithm is used to determine the optimal parameters of the current support structure material and the bio-based material respectively.

[0040] As an optional embodiment, the method may also include: establishing a prediction model of the support structure based on geological exploration data, a support structure geometric model and material property parameters; combining the prediction model with the MPC algorithm to perform online optimization calculations, predict the expansion and contraction amount, and make real-time adjustments.

[0041] In this step, through the prediction model, the MPC (Multi-Party Computation) algorithm can predict the deformation and stress distribution of the support structure under future stress conditions, and predict the expansion and contraction of the support structure in the future. The expansion and contraction can be the displacement, deformation or stress change of the support structure.

[0042] As an optional embodiment, according to the deformation variable, a multi-objective optimization algorithm is used to respectively determine the optimal parameters of the current support structure material and the bio-based material, which may specifically include: Step 501: respectively define the economic objective function, the safety objective function and the environmental objective function, wherein the economic objective function includes the raw material cost, the transportation cost and the construction cost, the safety objective function includes the compressive strength, and the environmental objective function includes the production energy consumption; Step 502: using the current expansion amount, concrete mix ratio, admixture dosage and steel bar diameter as the initial solution, the weighted summation method is used to convert the multiple objectives into a single objective to obtain the fitness value; Step 503: select, cross and mutate according to the fitness value, extract the optimal solution, and obtain the optimal interval of the expansion amount.

[0043] In this step, the compressive strength of concrete is considered c , tensile strength f t , cost C and environmental protection (with production energy consumption E, for each solution x, calculate its objective function value f 1 (x), f 2 (x), f 3 (x), and then use the weighted summation method to transform the multi-objective into a single objective to obtain the fitness value Fit(x). For example, using the weighted summation method: Fit(x) = w 1 f 1 (x)+w 2 f 2 (x)+w 3 f 3 (x), where w1, w2, w 3is the weight coefficient, which is determined according to actual engineering requirements. The new solution replaces part of the old solution and the iterative process is repeated until the stopping criterion is met.

[0044] As an optional embodiment, the method may also include: introducing climate and groundwater quality, conducting corrosion resistance tests, weather resistance tests and earthquake resistance tests on bio-based materials, recording test data, and establishing a bio-based material database; testing the contact force and friction force between the bio-based materials and the geological model, and optimizing the bio-based.

[0045] In this step, for example, the bio-based materials are placed in the environment of the current support structure, or in a similar climate environment, including temperature, humidity, and ultraviolet radiation, or vibration tests are performed on the bio-based materials under simulated earthquake conditions. All test data are collated and stored in the bio-based material database. Based on the test data and database information, a comprehensive analysis is conducted on the corrosion resistance, weather resistance, seismic resistance, contact force, friction and other properties of the bio-based materials. According to the performance analysis results, targeted optimization strategies are formulated to improve material formulations, adjust processing technology, and enhance material surface treatment.

[0046] As an optional embodiment, after defining the economic objective function, the safety objective function and the environmental objective function respectively, the method may also include: Step 504: randomly generating a set of initial solutions for expansion, plant fiber content, matrix material type and processing parameters, and calculating the fitness value; Step 505: performing selection, crossover and mutation according to the fitness value to extract the optimal solution.

[0047] In this step, the decision variables are: x = [p, m, t, p1, p2, ...], where p is the plant fiber content, m is the matrix material type (which can be represented by coding), t is the curing time, p1, p2, ... are other processing parameters. A set of initial solutions containing different plant fiber contents, matrix material types and processing parameters are randomly generated, and the solutions are non-dominated sorted according to the objective function value to obtain non-dominated solution sets of different levels. The crowding distance of each solution is calculated to maintain the diversity of solutions, and excellent solutions are selected for retention according to the non-dominated sorting level and crowding distance. For example, a tournament selection method is used to simulate binary crossover operations on the selected solutions to generate new solutions. Polynomial mutation operations are performed on the newly generated solutions to introduce randomness, and new solutions are used to replace part of the old solutions. The iterative process is repeated until the stopping criterion is met.

[0048] The above is an embodiment of the method proposed in this application. Based on the same inventive concept, the embodiment of this application also provides a configuration device for a bio-based retractable support structure, the structure of which is as follows: Figure 3 shown.

[0049] Figure 3A schematic diagram of the internal structure of a configuration device for a bio-based retractable support structure provided in an embodiment of the present application. Figure 3 As shown, the device includes:

[0050] at least one processor 301;

[0051] and, a memory 302 communicatively connected to at least one processor;

[0052] Among them, the memory 302 stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor 301 so that the at least one processor 301 can: obtain the size and shape of the deep foundation pit support structure and create a geometric model of the support structure; input the material property parameters of the current support structure into the geometric model, and simultaneously input the material property parameters of the bio-based material to obtain the support model; use geological exploration data to establish a geological model, couple it with the support model, and use adaptive grids to divide the geological model and the support model; set a stress monitor in the stress concentration area of ​​the support structure, dynamically update the geological model and the support model, check the deformation amount, so as to update the expansion and contraction amount of the support structure, as well as the density and shape of the grid; according to the deformation amount, use a multi-objective optimization algorithm to determine the optimal parameters of the current support structure material and the bio-based material respectively.

[0053] Some embodiments of the present application provide corresponding Figure 1 A non-volatile computer storage medium for configuring a bio-based retractable support structure stores computer executable instructions, wherein the computer executable instructions are configured to: obtain the size and shape of a deep foundation pit support structure and create a geometric model of the support structure; input material property parameters of the current support structure into the geometric model, and simultaneously input material property parameters of the bio-based material to obtain a support model; establish a geological model using geological exploration data, couple it with the support model, and use adaptive grids to divide the geological model and the support model; set a stress monitor in a stress concentration area of ​​the support structure, dynamically update the geological model and the support model, and check the deformation amount to update the expansion and contraction amount of the support structure, as well as the density and shape of the grid; and use a multi-objective optimization algorithm to determine the optimal parameters of the current support structure material and the bio-based material, respectively, based on the deformation amount.

[0054] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the IoT device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0055] The system and medium provided in the embodiments of the present application correspond one-to-one to the method. Therefore, the system and medium also have similar beneficial technical effects to the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the system and medium will not be repeated here.

[0056] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0057] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0058] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0059] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0060] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0061] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0062] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0063] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0064] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for configuring a bio-based retractable support structure, characterized in that: The method comprises: Acquire the size and shape of the deep foundation pit support structure and create a geometric model of the support structure; Inputting material property parameters of the current support structure into the geometric model, and simultaneously inputting material property parameters of the bio-based material to obtain a support model; Using geological exploration data to establish a geological model, coupling it with the support model, and using adaptive grids to divide the geological model and the support model; A stress monitor is arranged in the stress concentration area of ​​the support structure, the geological model and the support model are dynamically updated, and the deformation amount is checked to update the expansion and contraction amount of the support structure, as well as the density and shape of the grid; According to the deformation amount, a multi-objective optimization algorithm is used to determine the optimal parameters of the current support structure material and the bio-based material respectively.

2. The method for configuring a bio-based retractable support structure according to claim 1, characterized in that: The use of geological exploration data to establish a geological model and coupling it with the support model specifically includes: Divide the rock stratigraphic units in geological exploration data, identify fault planes and stratigraphic planes, and determine boundaries; Converting the two-dimensional geological plane map into a three-dimensional geological model by utilizing the topological relationship and boundaries between the rock strata; Importing the three-dimensional geological model and the support model into the same coordinate system; A data transmission interface between the support model and the three-dimensional geological model is provided, and the geological exploration data and material property parameters are coupled through the data transmission interface.

3. The method for configuring a bio-based retractable support structure according to claim 1, characterized in that: The said adopting of adaptive grid to divide the said geological model and the support model specifically comprises: A stress monitor and a deformation sensor are arranged on the support structure to obtain stress data and deformation data; Dividing the stress data and deformation data into intervals to obtain a stress interval and a deformation interval, and dividing the area where the stress value and the deformation value are higher than a preset threshold into a stress concentration area and a deformation sensitive area; The density and shape of the grid division are preset according to the geological exploration data and the stress range.

4. The method for configuring a bio-based retractable support structure according to claim 1, characterized in that: A stress monitor is set in the stress concentration area of ​​the support structure, the geological model and the support model are dynamically updated, and the deformation amount is checked to update the expansion and contraction amount of the support structure, as well as the density and shape of the grid, specifically including: Acquire real-time data and use adaptive algorithms to automatically update the density and shape of the grid based on error estimation and convergence judgment during the calculation process; According to the stress and deformation data monitored in real time, if the stress and deformation data exceed the first safety threshold, the retractable mechanism is immediately activated, and the adjusted support structure is monitored and evaluated again; If the stress and deformation data exceed the second safety threshold, an immediate warning is issued.

5. The method for configuring a bio-based retractable support structure according to claim 4, characterized in that: The method further comprises: Establishing a prediction model of the support structure based on the geological exploration data, the support structure geometric model and material property parameters; The prediction model is combined with the MPC algorithm to perform online optimization calculations and predict the expansion and contraction amount for real-time adjustment.

6. The method for configuring a bio-based retractable support structure according to claim 1, characterized in that: According to the deformation amount, the optimal parameters of the current support structure material and the bio-based material are determined respectively by using a multi-objective optimization algorithm, specifically including: An economic objective function, a safety objective function and an environmental objective function are defined respectively, wherein the economic objective function includes raw material cost, transportation cost and construction cost, the safety objective function includes compressive strength, and the environmental objective function includes production energy consumption; Using the current expansion amount, concrete mix ratio, admixture dosage and steel bar diameter as the initial solution, the weighted summation method is used to transform the multi-objective into a single objective to obtain the fitness value; Selection, crossover and mutation are performed according to the fitness value to extract the optimal solution and obtain the optimal range of the expansion amount.

7. The method for configuring a bio-based retractable support structure according to claim 1, characterized in that: The method further comprises: Introduce climate and groundwater quality, conduct corrosion resistance tests, weather resistance tests and earthquake resistance tests on bio-based materials, record test data, and establish a bio-based material database; Test the contact force and friction between bio-based materials and geological models, and optimize the bio-based materials.

8. The method for configuring a bio-based retractable support structure according to claim 6, characterized in that: After defining the economic objective function, the safety objective function and the environmental objective function respectively, the method further includes: A set of initial solutions of expansion, plant fiber content, matrix material type and processing parameters are randomly generated, and the fitness value is calculated; Selection, crossover and mutation are performed according to the fitness value to extract the optimal solution.

9. A bio-based retractable support structure configuration device, characterized in that: The device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to: Acquire the size and shape of the deep foundation pit support structure and create a geometric model of the support structure; Inputting material properties of the current support structure into the geometric model and simultaneously inputting material properties of the bio-based material to obtain a support model; Using geological exploration data to establish a geological model, coupling it with the support model, and using adaptive grids to divide the geological model and the support model; A stress monitor is arranged in the stress concentration area of ​​the support structure, the geological model and the support model are dynamically updated, and the deformation amount is checked to update the density and shape of the grid; According to the deformation amount, a multi-objective optimization algorithm is used to determine the optimal parameters of the current support structure material and the bio-based material respectively.

10. A non-volatile computer storage medium for configuring a bio-based retractable support structure, storing computer executable instructions, characterized in that: The computer executable instructions are configured to: Acquire the size and shape of the deep foundation pit support structure and create a geometric model of the support structure; Inputting material properties of the current support structure into the geometric model and simultaneously inputting material properties of the bio-based material to obtain a support model; Using geological exploration data to establish a geological model, coupling it with the support model, and using adaptive grids to divide the geological model and the support model; A stress monitor is arranged in the stress concentration area of ​​the support structure, the geological model and the support model are dynamically updated, and the deformation amount is checked to update the density and shape of the grid; According to the deformation amount, a multi-objective optimization algorithm is used to determine the optimal parameters of the current support structure material and the bio-based material respectively.

Images