Application of test system and control method for near-field engineering-formation-underground structure system

Abstract

The application relates to the technical field of engineering control, and provides a test system and a control method applied to a near engineering-stratum-underground structure system, the system comprising: a numerical subsystem, which is used for determining predicted displacement data according to a load increment; an agent subsystem, which is used for carrying out numerical analysis to obtain predicted force by taking the predicted displacement data as boundary displacement load; a physical subsystem, which is used for obtaining feedback displacement data corresponding to the predicted force; the agent subsystem is further used for carrying out parameter inversion based on the feedback displacement data and the predicted force, obtaining high-fidelity physical parameters, and determining feedback force; and the numerical subsystem is further used for determining unbalanced force data according to the predicted force and the feedback force, so that the numerical subsystem becomes unbalanced, and the multiple rounds of iteration of the hybrid test are driven until the unbalanced force data is lower than a tolerance. The system can guarantee that the physical subsystem directly participates in each iteration calculation process of the numerical subsystem, and the accuracy of the hybrid test is improved.

Description

Technical Field

[0001] This invention relates to the field of engineering control technology, and in particular to a test system and control method for a proximity engineering-stratum-underground structure system. Background Technology

[0002] The increasing density of urban underground space leads to more and more adjacent construction projects. These projects cause strong construction disturbances to the surrounding strata, altering the stress field and displacement field, which can lead to problems such as concrete cracking, joint opening, and component yielding in underground structures such as subways. Therefore, it is necessary to conduct experimental research on the nonlinear mechanical response and structural damage evolution of underground structures under the load of adjacent construction projects.

[0003] Among related technologies, the hybrid testing method, which integrates numerical simulation and model testing, is a research approach capable of simultaneously simulating the interaction between the adjacent engineering structure, the soil layer, and the underground structure at the system scale, and the damage evolution process of the underground structure at the structural scale. The hybrid testing method originated from addressing the challenges of dynamic testing of large-scale above-ground engineering structures. In seismic hybrid tests, components with strong nonlinearity in the engineering structure are selected as the physical subsystem, while the remaining parts easily simulated numerically are designated as the numerical subsystem. The two subsystems interact through a hybrid testing platform to jointly simulate the overall structural response under seismic loading. Therefore, for the adjacent engineering structure-soil layer-underground structure system, the underground structure with complex soil-structure interactions and its surrounding soil can be considered the physical subsystem, while the remaining adjacent engineering structure and the large-scale soil mass can be considered the numerical subsystem. The two subsystems interact through a hybrid testing platform to jointly simulate the response of the target underground structure under the construction load of the adjacent engineering structure. In the superstructure hybrid test, the actual test subsystem is in an elastic state before failure and can directly participate in the iterative calculation process of the numerical subsystem. Repeated loading and unloading in the initial stage of interaction does not affect the accuracy of the test. However, when the hybrid test method is applied to the near-engineering-stratum-underground structure system, the soil loading process is always highly nonlinear, and its stiffness is strongly correlated with the loading path. This means that the physical subsystem cannot directly participate in every iterative calculation process of the numerical subsystem. As the number of iterations increases, the repeated loading and unloading process will cause fluctuations in soil stiffness, which will reduce the accuracy of the hybrid test. It may even cause the numerical simulation results to deviate significantly from the convergence target, which may lead to the test loading target value exceeding the safety threshold and causing a safety accident. Summary of the Invention

[0004] This invention provides a test system and control method for applying the proximity engineering-stratum-subsurface structure system, which solves the defect of the existing technology that uses a hybrid test method to apply the proximity engineering-stratum-subsurface structure system, where the accuracy of the hybrid test decreases with the increase of the number of iterations; the system described in this invention improves the accuracy of the hybrid test.

[0005] This invention provides a test system for applying a proximity engineering-stratum-subsurface structure system, comprising:

[0006] A numerical subsystem is used to determine predicted displacement data based on load increments obtained through a hybrid test process based on proximity engineering, strata, and underground structural systems.

[0007] The proxy subsystem is used to perform numerical analysis using the predicted displacement data as boundary displacement loads to obtain the predicted force when the numerical subsystem iteratively converges.

[0008] The physical subsystem is used to apply the predicted force and measure the feedback displacement data corresponding to the predicted force.

[0009] The agent subsystem is also used to perform parameter inversion on the feedback displacement data and the predicted force to obtain high-fidelity physical parameters, and to determine the feedback force based on the high-fidelity physical parameters; wherein, the high-fidelity physical parameters include the constitutive parameters of the soil and the material parameters of the underground structure;

[0010] The numerical subsystem is also used to determine unbalanced force data based on the predicted force and the feedback force, and drive the hybrid test process to perform multiple iterations based on the unbalanced force data, so as to control the unbalanced force data corresponding to the iterated hybrid test process to be lower than the tolerance.

[0011] According to the present invention, an experimental system applying a proximity engineering-stratum-subsurface structure system is provided, wherein the numerical subsystem includes:

[0012] Numerical models of the adjacent engineering and the formation are used to simulate construction disturbance data and formation response data of the adjacent engineering.

[0013] The test unit, connected to the LabVIEW communication plugin, is used to determine the predicted displacement data based on the construction disturbance data and the formation response data; wherein, the LabVIEW communication plugin should be able to achieve communication of at least 100 degrees of freedom, and the upper limit of the number of degrees of freedom depends on the available memory of the computer.

[0014] According to the present invention, an experimental system applying a proximity engineering-stratum-subsurface structure system is provided, wherein the physical subsystem comprises:

[0015] The test apparatus is used to receive the predicted force and convert it into a target predicted force, and to measure the feedback displacement data corresponding to the target predicted force;

[0016] A geological-structural physical model, including a similar scaled model of the target underground structure and the surrounding soil, is used to withstand the target predicted force of the test device.

[0017] According to the present invention, a test system applying a proximity engineering-stratum-subsurface structure system is provided, wherein the proxy subsystem includes:

[0018] A formation-structure numerical model incorporating high-fidelity physical parameters of the physical subsystem;

[0019] Model parameter inversion module.

[0020] According to the present invention, a test system for applying a proximity engineering-stratum-subsurface structure system is provided. The physical subsystem includes a vertical loading plate corresponding boundary, a horizontal loading plate corresponding boundary, and a bottom plate corresponding boundary. Both the loading plate corresponding boundary and the bottom plate corresponding boundary are provided with multiple nodes. The vertical degrees of freedom of the nodes of the vertical loading plate and the bottom plate corresponding boundary are bound by partitions. The vertical degrees of freedom of each node of the horizontal loading plate corresponding boundary are also bound by partitions.

[0021] According to the present invention, a test system for applying a proximity engineering-stratum-subsurface structure system is provided, wherein the test device is further used to apply a target predicted force to the stratum-structure physical model; wherein the target predicted force is determined based on the difference between the predicted force and the lateral pressure corresponding to the soil gravity in the surrogate subsystem.

[0022] This invention also provides a control method for a test system applying a proximity engineering-stratum-subsurface structure system, comprising:

[0023] Based on the numerical subsystem, load increments are obtained through a hybrid test process based on proximity engineering, strata, and underground structure systems, and predicted displacement data are determined based on the load increments.

[0024] Based on the agent subsystem, when the numerical subsystem iteratively converges, numerical analysis is performed using the predicted displacement data as the boundary displacement load to obtain the predicted force.

[0025] The predicted force is applied based on the physical subsystem, and the corresponding feedback displacement data is measured.

[0026] Based on the agent subsystem, parameter inversion is performed on the feedback displacement data and the predicted force to obtain high-fidelity physical parameters, and the feedback force is determined based on the high-fidelity physical parameters; wherein, the high-fidelity physical parameters include the constitutive parameters of the soil and the material parameters of the underground structure;

[0027] The numerical subsystem determines the unbalanced force data based on the predicted force and the feedback force, and drives the hybrid test process to perform multiple iterations based on the unbalanced force data, so as to control the unbalanced force data corresponding to the iterated hybrid test process to be lower than the tolerance.

[0028] According to the present invention, a control method for a test system using a proximity engineering-stratum-subsurface structure system is provided, wherein the target predicted force is determined based on the difference between the predicted force and the lateral pressure corresponding to the soil gravity in the proxy subsystem.

[0029] The feedback displacement data is determined based on the target predicted force.

[0030] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement a control method for a test system applying a proximity engineering-stratum-subsurface structure system as described above.

[0031] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a control method for an experimental system applying a proximity engineering-stratum-subsurface structure system as described above.

[0032] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements a control method for an experimental system applying a proximity engineering-stratum-subsurface structure system as described above.

[0033] The present invention provides an experimental system and control method for a near-engineering-stratum-underground structure system. This system involves setting up a numerical subsystem to determine predicted displacement data based on load increments, setting up a proxy subsystem to perform numerical analysis using the predicted displacement data as boundary displacement loads to obtain predicted forces, setting up a physical subsystem to acquire feedback displacement data corresponding to the predicted forces, and then using the proxy subsystem to perform parameter inversion on the feedback displacement data and predicted forces to obtain high-fidelity physical parameters. Based on these high-fidelity physical parameters, the feedback forces are determined. Finally, the numerical subsystem determines the unbalanced force data based on the predicted forces and feedback forces to drive multiple iterations of the hybrid experimental process. During this process, the proxy subsystem acquires high-fidelity physical parameters of the physical subsystem through parameter inversion, ensuring that the boundary force data fed back to the numerical subsystem contains the true stiffness information of the physical subsystem. This allows the proxy subsystem to directly participate in each iteration of the numerical subsystem as a high-fidelity substitute model for the physical subsystem, thereby improving the accuracy of the hybrid experiment. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0035] Figure 1 This is one of the structural schematic diagrams of the test system for the application of the proximity engineering-stratum-subsurface structure system provided by the present invention.

[0036] Figure 2 This is a schematic diagram of the interface between the gravity analysis stage and the excavation analysis stage of the foundation pit project above the tunnel provided by the present invention.

[0037] Figure 3 This is the second structural schematic diagram of the test system for the application of the proximity engineering-stratum-subsurface structure system provided by the present invention.

[0038] Figure 4 These are schematic diagrams of the physical subsystem provided by this invention and output results of two types of finite element models.

[0039] Figure 5 This is a schematic diagram of the horizontal earth pressure reduction process provided by the present invention.

[0040] Figure 6 This is one of the flowcharts illustrating the control method of the test system for the application of the proximity engineering-stratum-subsurface structure system provided by the present invention.

[0041] Figure 7 This is the second flowchart illustrating the control method of the test system for the application of the proximity engineering-stratum-subsurface structure system provided by the present invention.

[0042] Figure 8 This is a schematic diagram of the structure of the electronic device provided by the present invention.

[0043] Figure label:

[0044] 100: Numerical subsystem; 110: Numerical model for proximity engineering and formation;

[0045] 120: Experimental unit; 200: Physical subsystem;

[0046] 210: Formation-structure physical model; 220: Experimental setup; 300: Surrogate subsystem;

[0047] 310: Stratigraphic-structural numerical model; 320: Model parameter inversion module. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0049] The following is combined with Figures 1-7 This invention describes the experimental system and control method for the application of the present invention in the near-engineering-stratum-underground structure system.

[0050] Figure 1 This is one of the structural schematic diagrams of the test system for applying the proximity engineering-stratum-subsurface structure system provided by the present invention, such as... Figure 1 As shown, the test system includes:

[0051] The present invention provides an experimental system for applying the proximity engineering-stratum-subsurface structure system, comprising: a numerical subsystem 100, a physical subsystem 200, and a proxy subsystem 300.

[0052] The numerical subsystem 100 is used to determine predicted displacement data based on load increments when load increments are obtained through a hybrid test process based on proximity engineering, strata and underground structural systems.

[0053] Figure 2 This is a schematic diagram of the interface between the gravity analysis stage and the excavation analysis stage of the tunnel above the foundation pit engineering provided by the present invention. Figure 2 In the illustrated embodiment, taking a foundation pit project above a tunnel as an example, the overall architecture of the test system applying the proximity engineering-stratum-subsurface structure system is explained, as well as the hybrid test process of the proximity engineering-stratum-subsurface structure system driven by the test system and the methods for simplifying boundary degrees of freedom and reducing horizontal earth pressure; such as Figure 2 As shown, the example of the foundation pit project above the tunnel includes two stages: (a) gravity analysis and (b) excavation analysis. Contact elements are used to simulate the contact relationship between the diaphragm wall and the soil; all nodal degrees of freedom at the connection between the support structure and the diaphragm wall are bound; all nodal degrees of freedom at the contact boundary between the tunnel and the soil are bound; (Figure...) xoy The coordinate system has the center of the tunnel as the origin and the horizontal direction as... x The axis, in the vertical direction is y The axis is constructed.

[0054] In this embodiment, a complete numerical model of the adjacent engineering-stratum-subsurface structure system in the example project can be established using OpenSees finite element software; wherein, the numerical subsystem 100 and the surrogate subsystem 300 are constructed based on the above-mentioned complete numerical model.

[0055] In this embodiment, the numerical subsystem 100 is used to simulate the disturbance of nearby engineering construction and the stratum response. The difference between this simulation method and the complete finite element model is that the target underground structure and its surrounding soil elements are removed in the numerical subsystem 100, and a Generic test element 120 defined by OpenFresco is added to replace them. Moreover, the removed target underground structure and its surrounding soil elements are used as a stratum-structure numerical model with updatable parameters in the proxy subsystem 300.

[0056] In this embodiment, the hybrid test process is initialized, and the load increment in the numerical subsystem 100 is activated. The load increment is used as the unbalanced force to drive the hybrid test process in the first round of virtual iteration. It is determined whether the unbalanced force of the current analysis step is less than or equal to the allowable error. If it is greater, the iteration loop of the nth analysis step (n is a positive integer greater than 1) continues. When performing interactive calculations of the virtual iteration step, the numerical subsystem 100 calculates the predicted displacement based on the unbalanced force of the virtual iteration process and sends it to the agent subsystem 300 for subsequent processing.

[0057] The proxy subsystem 300 is used to perform numerical analysis with the predicted displacement data as the boundary displacement load during the iterative convergence of the numerical subsystem, and obtain the predicted force.

[0058] In this embodiment, the proxy subsystem 300 is used to replace the physical subsystem 200 to directly participate in the numerical iterative calculation of the numerical subsystem until the numerical subsystem 100 converges to the equilibrium state. Then, the predicted displacement data is used as the boundary displacement load, and the corresponding predicted force is obtained through numerical analysis.

[0059] In this embodiment, the agent subsystem 300 interacts with the numerical subsystem 100 via a LabVIEW communication plugin.

[0060] In this embodiment, the proxy subsystem 300 includes: a stratigraphic-structural numerical model 310 containing high-fidelity physical parameters of the physical subsystem and a model parameter inversion module 320.

[0061] The model parameter inversion module 320 is used to perform parameter inversion on the feedback displacement data and predicted force to obtain the corresponding high-fidelity physical parameters; the formation-structure numerical model 310 calculates the corresponding feedback force based on the high-fidelity physical parameters.

[0062] Figure 3 This is the second structural schematic diagram of the experimental system for applying the proximity engineering-stratum-subsurface structure system provided by the present invention. Figure 3 In the illustrated embodiment, the workflow of the proxy subsystem includes two parts: prediction and feedback. In the prediction process, the proxy subsystem receives predicted displacement data sent by the experimental unit of the numerical subsystem. , and then Numerical analysis was performed using the boundary displacement load to obtain the predicted force. and will The data is sent to the physical subsystem, which realizes the process of converting boundary displacement into boundary force; d represents the feedback displacement data.

[0063] The physical subsystem 200 is used to apply the predicted force and measure the feedback displacement data corresponding to the predicted force.

[0064] In this embodiment, when the predicted force data is applied to the boundary of the physical subsystem 200, the sensing device installed on the physical subsystem 200 can read the feedback displacement data corresponding to the current predicted force data.

[0065] In this embodiment, the physical subsystem 200 includes a formation-structure physical model 210 and an experimental apparatus 220.

[0066] The test apparatus 220 is used to receive the predicted force and convert it into the target predicted force, and to measure the feedback displacement data corresponding to the target predicted force.

[0067] The strata-structure physical model 210 includes a similar scale model of the target underground structure and the surrounding soil. The strata-structure physical model 210 is used to withstand the target predicted force of the test device.

[0068] The agent subsystem 300 is also used to perform parameter inversion on the feedback displacement data and predicted force to obtain high-fidelity physical parameters, and to determine the feedback force based on the high-fidelity physical parameters; among which, the high-fidelity physical parameters include the constitutive parameters of the soil and the material parameters of the underground structure.

[0069] In this embodiment, the proxy subsystem 300 includes a stratigraphic-structural numerical model 310 containing high-fidelity physical parameters of the physical subsystem 200 and a model parameter inversion module 320.

[0070] exist Figure 3 In the illustrated embodiment, during the feedback process, the model parameter inversion module of the proxy subsystem receives feedback displacement data sent by the physical subsystem. and predictive power And perform inverse analysis to obtain high-fidelity physical parameters. θ (Including constitutive parameters of the soil, material parameters of the underground structure, etc.); Finally, the proxy subsystem adopts... θ The feedback force was recalculated. The data is then sent to the numerical subsystem, thus realizing the process of feeding back the actual stiffness information of the physical subsystem to the numerical subsystem.

[0071] The numerical subsystem 100 is also used to determine unbalanced force data based on the predicted force and feedback force, and to drive the mixed test process to perform multiple iterations based on the unbalanced force data, so as to control the unbalanced force data corresponding to the iterated mixed test process to be lower than the tolerance.

[0072] In this embodiment, the numerical subsystem 100 compares and analyzes the feedback force with the model prediction force to obtain unbalanced force data. If the unbalanced force data is higher than the tolerance, it indicates that the difference between the two is large. Based on the unbalanced force data, a new round of virtual iteration and physical iteration is continued until the unbalanced force data is less than the tolerance.

[0073] In this embodiment, during the virtual iteration of the hybrid test process, the numerical subsystem 100 and the proxy subsystem 300 obtain the predicted force on the boundary through interactive calculation, which serves as the input for the physical iteration. This avoids the repeated loading and unloading problem caused by the direct interactive iteration between the physical subsystem 200 and the numerical subsystem 100. In the physical iteration process, the physical subsystem 200 implements loading based on the predicted force, avoiding the problem of the loading plate and soil becoming detached. It also inputs physical parameters containing real stiffness information into the numerical subsystem 100 via the proxy subsystem 300, thereby introducing a new unbalanced force into the numerical subsystem 100, driving a new round of virtual and physical iterations until the unbalanced force is less than the tolerance.

[0074] In some embodiments, the following problem arises in the mixed test process: the soil has the characteristic of being compressive but not tensile, and force control is required to prevent the loading plate from separating from the soil. However, in the mixed test, the finite element output command is a displacement command, which needs to be converted into a force command before loading can be performed. In this embodiment, a proxy subsystem 300 is set up to convert the communication data on the common boundary of the numerical subsystem 100, the proxy subsystem 300 and the physical subsystem 200 through the finite element model, thereby realizing the conversion between displacement and force boundary conditions.

[0075] The experimental system for a near-engineering-stratum-underground structure system provided in this embodiment of the invention involves setting up a numerical subsystem 100 to determine predicted displacement data based on load increments, setting up a proxy subsystem 300 to perform numerical analysis using the predicted displacement data as boundary displacement loads to obtain predicted forces, setting up a physical subsystem 200 to obtain feedback displacement data corresponding to the predicted forces, and then using the proxy subsystem 300 to perform parameter inversion on the feedback displacement data and predicted forces to obtain high-fidelity physical parameters, and determining the feedback forces based on the high-fidelity physical parameters. Finally, the numerical subsystem 100 determines the unbalanced force data based on the predicted forces and feedback forces to drive the hybrid experimental process for multiple iterations. In this process, the proxy subsystem 300 obtains the high-fidelity physical parameters of the physical subsystem 200 through parameter inversion analysis, so that the boundary force data fed back to the numerical subsystem 100 contains the true stiffness information of the physical subsystem 200, thus directly participating in each iteration calculation process of the numerical subsystem 100 as a high-fidelity substitute model of the physical subsystem 200, thereby improving the accuracy of the hybrid experiment.

[0076] In some embodiments, the numerical subsystem 100 includes a proximity engineering and formation numerical model 110 and an experimental unit 120.

[0077] The numerical model 110 for the proximity engineering and the stratum is used to simulate the construction disturbance data and stratum response data of the proximity engineering; the test unit 120 is connected to the LabVIEW communication plugin, and the test unit 120 is used to determine the predicted displacement data based on the construction disturbance data and stratum response data; wherein, the LabVIEW communication plugin is used to realize communication of at least 100 degrees of freedom, and the upper limit of the number of degrees of freedom depends on the available memory of the computer.

[0078] In this embodiment, the numerical model 110 of the proximity engineering and strata is constructed based on geological survey data, construction data, design data of existing structures, etc.

[0079] In this embodiment, the test unit 120 is defined and set by OpenFresco. The test unit 120 can replace the physical subsystem 200 in the numerical analysis of the numerical subsystem 100, and also serves as the interface for TCP communication between the numerical subsystem 100 and the physical subsystem 200, for sending predicted displacements and receiving feedback forces.

[0080] In this embodiment, the experimental unit 120 can also establish a communication connection with the ABAQUS numerical software. Through the deep integration of OpenFresco and ABAQUS, it supports cross-platform data stream synchronization and multi-physics coupling analysis, thereby improving the data interaction efficiency of the numerical subsystem 100.

[0081] To address the issue of inconsistent displacement degrees of freedom among subsystems in a test system employing a proximity engineering-stratum-subsurface structure system, this embodiment simplifies the boundary degrees of freedom of numerical subsystem 100 and surrogate subsystem 300; the specific implementation is as follows:

[0082] In some embodiments, the physical subsystem 200 includes a vertical loading plate corresponding boundary, a horizontal loading plate corresponding boundary, and a bottom plate corresponding boundary. Both the loading plate corresponding boundary and the bottom plate corresponding boundary are provided with multiple nodes. The vertical degrees of freedom of the nodes of the vertical loading plate and the bottom plate corresponding boundary are partitioned and bound, and the vertical degrees of freedom of each node of the horizontal loading plate corresponding boundary is partitioned and bound.

[0083] In this embodiment, the horizontal degrees of freedom of nodes on the left and right boundaries of the numerical subsystem 100 can be partitioned and bound according to the number of horizontal loading plates of the physical subsystem 200, and the horizontal degrees of freedom of nodes on the top and bottom boundaries of the numerical subsystem 100 can be partitioned and bound according to the number of vertical loading plates of the physical subsystem 200.

[0084] Figure 4 These are schematic diagrams of the physical subsystem provided by this invention and output diagrams of two types of finite element models. Figure 4 In the illustrated embodiment, the physical subsystem in 4(a) includes loading plates on the left and right sides, a loading plate on the top, and no loading plate at the bottom. To evaluate the influence of the bound node degrees of freedom on the structural mechanical response, the physical subsystem is bound with degrees of freedom in the x-direction (12m) and y-direction (12m). In 4(b), the calculation results of the finite element model with unbound node degrees of freedom and the finite element model with bound node degrees of freedom are compared in the gravity analysis stage. It can be found that the calculation results before and after binding are almost the same. In the gravity analysis stage, "—" represents the degree of freedom of the unbound node and "°" represents the degree of freedom of the bound node. From 4(b), the numerical distribution of the tunnel bending moment in the x and y directions can be seen.

[0085] The experimental system for the application of the near-engineering-stratum-underground structure system provided in this embodiment of the invention can solve the problem of inconsistent displacement degrees of freedom between subsystems by setting loading plates and corresponding node degrees of freedom to distinguish the degrees of freedom on the common boundary of the finite element models in the bound numerical subsystem 100 and the proxy subsystem 300, without affecting the accurate simulation of the mechanical response of the underground structure.

[0086] To address the inconsistency in force systems between the proxy subsystem 300 and the physical subsystem 200 in a test system applying a proximity engineering-stratum-subsurface structure system, this embodiment applies the reduced horizontal earth pressure from the proxy subsystem 300 to the physical subsystem 200; the specific implementation is as follows:

[0087] In some embodiments, the test apparatus 220 is further configured to apply a target predicted force to the formation-structure physical model 210; wherein the target predicted force is determined based on the difference between the predicted force and the lateral pressure corresponding to the soil gravity in the surrogate subsystem.

[0088] Figure 5 This is a schematic diagram of the horizontal earth pressure reduction process provided by the present invention. Figure 5 In the illustrated embodiment, 5(a) shows the boundary earth pressure extracted from the complete model and the displacements corresponding to different pressures, wherein, P 1. P 2 represents the vertical earth pressure. P 3 represents the horizontal earth pressure; as shown in 5(c) and 5(b), the predicted horizontal earth pressure is reduced by the physical subsystem before being applied to the formation-structure physical model, i.e., the total horizontal earth pressure ( P 3) The horizontal earth pressure caused by the soil's own weight needs to be deducted. P G As shown in 5(d), due to the presence of the tunnel, P G Not equal to K 0 γh ( K 0 represents the coefficient of earth pressure at rest. γ For soil focus, h (for depth of burial), it can be carried out by finite element model of the agent subsystem. K The gravity analysis under zero constraint conditions yielded the following results: As shown in 5(e), it can be seen that the tunnel bending moment after the reduction of the horizontal earth pressure is consistent with the calculation results of the complete model, indicating that the reduced boundary force is the equivalent of the predicted boundary force.

[0089] The test system for the application of the near-engineering-stratum-subsurface structure system provided in this embodiment of the invention applies the difference between the predicted force and the soil weight to the stratum-structure physical model through the test device, which further improves the accuracy of the mixed test results.

[0090] The control method of the test system for the application of the proximity engineering-stratum-subsurface structure system provided by the present invention is described below. The control method of the test system for the application of the proximity engineering-stratum-subsurface structure system described below can be referred to in correspondence with the test system for the application of the proximity engineering-stratum-subsurface structure system described above.

[0091] Figure 6 This is one of the flowcharts illustrating the control method of the test system for the application of the proximity engineering-stratum-subsurface structure system provided by the present invention, such as... Figure 6 As shown, the control method for the test system of the application proximity engineering-stratum-subsurface structure system includes the following steps:

[0092] Step 610: Based on the numerical subsystem, when the load increment is obtained through a hybrid test process based on proximity engineering, strata and underground structure systems, determine the predicted displacement data based on the load increment.

[0093] In this step, the numerical subsystem is used to simulate the disturbance of nearby engineering construction and the response of the stratum. The difference between this simulation method and the complete finite element model is that the target underground structure and its surrounding soil elements are removed from the numerical subsystem, and Generic test elements defined by OpenFresco are added to replace them as the interface for communication with the agent subsystem. Moreover, the removed target underground structure and its surrounding soil elements serve as the updatable stratum-structure numerical model in the agent subsystem.

[0094] In this embodiment, a complete numerical model of the proximity engineering-stratum-structure system in the example project can be established using OpenSees finite element software; wherein, the numerical subsystem and the surrogate subsystem are constructed based on the above-mentioned complete numerical model.

[0095] In this embodiment, the hybrid test process is initialized, and the load increment in the numerical subsystem is activated. This load increment is used as the unbalanced force to drive the hybrid test process in the first round of virtual iteration. It is determined whether the unbalanced force of the current analysis step is less than or equal to the allowable error. If it is greater, the iteration loop of the nth analysis step (n is a positive integer greater than 1) continues. When performing interactive calculations in the virtual iteration step, the numerical subsystem calculates the predicted displacement based on the unbalanced force of the virtual iteration process and sends it to the agent subsystem for subsequent processing.

[0096] Step 620: Based on the surrogate subsystem, when the numerical subsystem iteratively converges, perform numerical analysis using the predicted displacement data as the boundary displacement load to obtain the predicted force.

[0097] In this step, the agent subsystem interacts with the Generic experimental unit in the numerical subsystem via the LabVIEW communication plugin.

[0098] In this embodiment, the workflow of the agent subsystem includes two parts: prediction and feedback. Specifically, in the prediction process, the agent subsystem receives the predicted displacement sent by the numerical subsystem. , and then Numerical analysis was performed using the boundary displacement load to obtain the predicted force. and will The data is sent to the physics subsystem, which realizes the process of converting boundary displacement into boundary force.

[0099] Step 630: Apply the predicted force based on the physical subsystem and measure the feedback displacement data corresponding to the predicted force.

[0100] In this embodiment, when the predicted force data acts on the boundary of the physical subsystem, the sensing device installed on the physical subsystem can read the feedback displacement data corresponding to the current predicted force data.

[0101] In this embodiment, the physical subsystem includes a formation-structure physical model and an experimental setup.

[0102] The geological-structural physical model, which includes a similar scaled model of the target underground structure and the surrounding soil, is used to withstand the target predicted force of the test device.

[0103] The test apparatus is used to receive the predicted force and convert it into the target predicted force, and to measure the feedback displacement data corresponding to the target predicted force.

[0104] Step 640: Perform parameter inversion on the feedback displacement data and predicted force based on the agent subsystem to obtain high-fidelity physical parameters, and determine the feedback force based on the high-fidelity physical parameters; wherein, the high-fidelity physical parameters include the constitutive parameters of the soil and the material parameters of the underground structure.

[0105] In this step, the proxy subsystem includes a stratigraphic-structural numerical model containing high-fidelity physical parameters of the physical subsystem and a model parameter inversion module.

[0106] Specifically, in the feedback process, the agent subsystem receives feedback displacement data sent by the physical subsystem. It then calls the model parameter inversion module to perform inverse analysis and obtain high-fidelity physical parameters. θ (Including constitutive parameters of the soil, material parameters of the underground structure, etc.); Finally, the proxy subsystem adopts... θ The feedback force was recalculated. The data is then sent to the numerical subsystem, thus realizing the process of feeding back the actual stiffness information of the physical subsystem to the numerical subsystem.

[0107] Step 650: Based on the numerical subsystem, determine the unbalanced force data according to the predicted force and feedback force, and drive the mixed test process to perform multiple iterations based on the unbalanced force data, so as to control the unbalanced force data corresponding to the mixed test process after iteration to be lower than the tolerance.

[0108] In this step, in this embodiment, the numerical subsystem compares and analyzes the feedback force with the model prediction force to obtain unbalanced force data. If the unbalanced force data is higher than the tolerance, it indicates that the difference between the two is large. Based on the unbalanced force data, a new round of virtual iteration and physical iteration is continued until the unbalanced force is less than the tolerance.

[0109] In this embodiment, during the virtual iteration of the hybrid test process, the numerical subsystem and the proxy subsystem obtain the predicted force on the boundary through interactive calculation, which serves as the input for the physical iteration. This avoids the repeated loading and unloading problem caused by direct interaction between the physical and numerical subsystems. In the physical iteration process, the physical subsystem implements loading based on the predicted force, avoiding the problem of the loading plate and soil becoming detached. It also inputs physical parameters containing real stiffness information into the numerical subsystem via the proxy subsystem, thereby introducing new unbalanced forces into the numerical subsystem and driving a new round of virtual and physical iterations until the unbalanced force is less than the tolerance.

[0110] In some embodiments, the following problem arises in the mixed test process: the soil has the characteristic of being compressive but not tensile, and force control is required to prevent the loading plate from separating from the soil. However, in the mixed test, the finite element output is a displacement command, which needs to be converted into a force command before loading can be performed. In this embodiment, a proxy subsystem is set up to convert the communication data on the common boundary of the numerical subsystem, the proxy subsystem and the physical subsystem through the finite element model, thereby realizing the conversion between displacement and force boundary conditions.

[0111] The control method for an experimental system applying a proximity engineering-stratum-subsurface structure system provided in this invention involves setting up a numerical subsystem to determine predicted displacement data based on load increments, setting up a proxy subsystem to perform numerical analysis using the predicted displacement data as boundary displacement loads to obtain predicted forces, setting up a physical subsystem to obtain feedback displacement data corresponding to the predicted forces, and then using the proxy subsystem to perform parameter inversion on the feedback displacement data and predicted forces to obtain high-fidelity physical parameters, and determining the feedback forces based on the high-fidelity physical parameters. Finally, the numerical subsystem determines the unbalanced force data based on the predicted forces and feedback forces to drive the hybrid experimental process for multiple iterations. In this process, the proxy subsystem obtains the high-fidelity physical parameters of the physical subsystem through parameter inversion analysis, ensuring that the boundary force data fed back to the numerical subsystem contains the true stiffness information of the physical subsystem. This allows the proxy subsystem to directly participate in each iteration calculation process of the numerical subsystem as a high-fidelity substitute model for the physical subsystem, thereby improving the accuracy of the hybrid experiment.

[0112] In some embodiments, loading a predicted force based on a physical subsystem and measuring the corresponding feedback displacement data includes: determining a target predicted force based on the difference between the predicted force and the lateral pressure corresponding to the soil gravity in the proxy subsystem; and determining the feedback displacement data based on the target predicted force.

[0113] The control method of the test system for the application of the near-engineering-stratum-subsurface structure system provided in this embodiment of the invention applies the difference between the predicted force and the lateral pressure corresponding to the soil gravity to the stratum-structure physical model through the test device, which further improves the accuracy of the mixed test results.

[0114] In this embodiment, during the virtual iteration of the test system using the proximity engineering-stratum-subsurface structure system, only the finite element models in the numerical subsystem and the surrogate subsystem participate in the iterative calculation; when the energy increment of the numerical subsystem between two virtual iterations... When the boundary force is less than or equal to the allowable value TOL, the common boundary of the numerical subsystem and the surrogate subsystem simultaneously satisfies the displacement compatibility and force equilibrium conditions; therefore, the boundary force of the surrogate subsystem is the same as the boundary force of the numerical subsystem; according to the similarity relation, the boundary force... Convertible to predictive power This serves as the input to the physical iteration process; during the physical iteration process, the physical subsystem applies pressure to the boundary of the physical model. And measure the feedback displacement data of the actuator. Then and The data is sent to the agent subsystem, which then calls the model parameter inversion module to obtain high-fidelity physical parameters. And recalculate the feedback force Because the physical parameters have been updated, the feedback force is not equal to the predicted force in the early stages of the iteration. Therefore, when the surrogate subsystem sends the feedback force to the numerical subsystem, it introduces an unbalanced force into the entire system. This unbalanced force, containing the stiffness information of the physical subsystem, will drive the system to undergo a new round of virtual and physical iterations, repeating this cycle until... If the value is less than the allowable value, proceed to the next analysis step. The following example uses the first... n Taking one analysis step as an example, the physical information system-driven hybrid test process for underground structures is explained in detail step by step:

[0115] Figure 7 This is the second flowchart illustrating the control method for the experimental system of the proximity engineering-stratum-subsurface structure system provided by the present invention. Figure 7 As shown, the method includes the following steps:

[0116] (1) Start the nth analysis step, initialize the virtual iteration step number i, the physical iteration step number j and the virtual iteration convergence state variable Bool; Bool is True to indicate that the virtual iteration has converged, and False to indicate that the virtual iteration has not converged;

[0117] (2) Activate the load increment in the numerical subsystem This is considered as an unbalanced force driving the first round of virtual iteration. ;

[0118] (3) Determine whether the unbalanced force in the current analysis step is less than or equal to the allowable error. If it is greater than the allowable error, continue the iteration loop of the nth analysis step. If it is less than or equal to the allowable error, enter the (n+1)th analysis step.

[0119] (4) Determine whether the j-th physical iteration step meets the convergence condition. If Bool is True, proceed to the i-th physical iteration step, i.e., step (5). If Bool is False, execute the interactive computation of the j-th virtual iteration step. The interactive computation is executed only once within each virtual iteration step. Specifically, the numerical subsystem first... Calculated predicted displacement The data is then sent to the agent subsystem via the LabVIEW communication plugin, which in turn calls the finite element model to calculate the boundary displacements. Prototype boundary prediction power Then, based on the energy convergence criterion of the current numerical subsystem... Determine the data flow direction; when When the value exceeds the allowable value TOL, set Bool to False and... Return to the numerical subsystem. The numerical subsystem receives... Then, proceed to the (j+1)th virtual iteration step and repeat step 4 to obtain the new predicted displacement. According to Calculated. When When the value is less than or equal to the allowable value TOL, set Bool to True and... Send to the physical subsystem and proceed to step (5);

[0120] (5) Execute the i-th physical iteration step; first, record the maximum virtual iteration step within the i-th physical iteration step. And based on the similarity coefficient S F The physical subsystem will Corresponding prototype boundary prediction power Converted to model boundary predictive power And apply to the boundary of the stratigraphic-structural physical model. and measuring the actual displacement of the actuator ;Then, and The parameters are sent to the agent subsystem as the basis for parameter inversion analysis. The agent subsystem calls the model parameter inversion module to obtain high-fidelity physical parameters. and according to Recalculate the boundary displacements of the finite element model as follows Prototype feedback force at time Based on the similarity coefficient, Converted into model feedback force It is used in conjunction with the predictive power of the model. Comparative analysis; simultaneously, the LabVIEW communication plugin integrates prototype feedback force. Send the data to the numerical subsystem and set Bool to False to complete the i-th physics iteration step;

[0121] (6) The numerical subsystem receives prototype feedback force Then, increment the physical iteration step i by 1, initialize the virtual iteration step to 0, and then set the prototype feedback force. With prototype predictive power The difference is used as a new unbalanced force. ;

[0122] (7) Proceed to step (3), if If the value is less than the allowable value, proceed to the (n+1)th analysis step; otherwise, repeat steps (4) to (7).

[0123] Figure 8 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 8 As shown, the electronic device may include: a processor 810, a communications interface 820, a memory 830, and a communications bus 840, wherein the processor 810, the communications interface 820, and the memory 830 communicate with each other through the communications bus 840. The processor 810 can call logic instructions in the memory 830 to execute a control method for a test system applying a proximity engineering-stratum-subsurface structure system. This method includes: determining predicted displacement data based on the load increment obtained through a hybrid test process based on proximity engineering, stratum, and subsurface structure systems using a numerical subsystem; performing numerical analysis using the predicted displacement data as boundary displacement loads to obtain predicted forces when the numerical subsystem iterates and converges, based on a proxy subsystem; applying the predicted forces and measuring the corresponding feedback displacement data using a physical subsystem; performing parameter inversion on the feedback displacement data and predicted forces using a proxy subsystem to obtain high-fidelity physical parameters, and determining the feedback forces based on these high-fidelity physical parameters; wherein the high-fidelity physical parameters include constitutive parameters of the soil and material parameters of the subsurface structure; determining unbalanced force data based on the predicted forces and feedback forces using a numerical subsystem, and driving multiple iterations of the hybrid test process based on the unbalanced force data to control the unbalanced force data corresponding to the iterated hybrid test process to be below the tolerance.

[0124] Furthermore, the logical instructions in the aforementioned memory 830 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0125] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute the control method for the test system of the proximity engineering-stratum-subsurface structure system provided by the above methods. The method includes: determining predicted displacement data based on the load increment obtained by the numerical subsystem through a hybrid test process based on proximity engineering, stratum, and subsurface structure systems; and determining predicted displacement data based on the predicted displacement when the numerical subsystem iteratively converges, using the surrogate subsystem. Numerical analysis of boundary displacement loads based on displacement data yields predicted forces. The predicted forces are applied using a physical subsystem, and the corresponding feedback displacement data is measured. A proxy subsystem performs parameter inversion on the feedback displacement data and predicted forces to obtain high-fidelity physical parameters, which are then used to determine the feedback forces. These high-fidelity physical parameters include constitutive parameters of the soil and material parameters of the underground structure. The numerical subsystem determines unbalanced force data based on the predicted and feedback forces, and the unbalanced force data drives multiple iterations of the hybrid test process to control the unbalanced force data corresponding to the iterated hybrid test process to be below the tolerance.

[0126] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program implements a control method for a test system applying a proximity engineering-stratum-subsurface structure system provided by the methods described above. This method includes: determining predicted displacement data based on the load increment obtained through a hybrid test process based on the proximity engineering, stratum, and subsurface structure systems using a numerical subsystem; performing numerical analysis using the predicted displacement data as boundary displacement loads to obtain predicted forces when the numerical subsystem iterates and converges, based on a proxy subsystem; applying the predicted forces and measuring the corresponding feedback displacement data based on the physical subsystem; performing parameter inversion on the feedback displacement data and predicted forces using the proxy subsystem to obtain high-fidelity physical parameters, and determining the feedback forces based on the high-fidelity physical parameters; wherein the high-fidelity physical parameters include constitutive parameters of the soil and material parameters of the subsurface structure; determining unbalanced force data based on the predicted forces and feedback forces using the numerical subsystem, and driving multiple iterations of the hybrid test process based on the unbalanced force data to control the unbalanced force data corresponding to the iterated hybrid test process to be below the tolerance.

[0127] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0128] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0129] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A test system applying a proximity engineering-stratum-subsurface structure system, characterized in that, include: A numerical subsystem is used to determine predicted displacement data based on load increments obtained through a hybrid test process based on proximity engineering, strata, and underground structural systems. The proxy subsystem is used to perform numerical analysis using the predicted displacement data as boundary displacement loads to obtain the predicted force when the numerical subsystem iteratively converges. The physical subsystem is used to apply the predicted force and measure the feedback displacement data corresponding to the predicted force. The physical subsystem includes: The test apparatus is used to receive the predicted force and convert it into a target predicted force, and to measure the feedback displacement data corresponding to the target predicted force; The target predicted force is determined based on the difference between the predicted force and the lateral pressure corresponding to the soil gravity in the surrogate subsystem; The agent subsystem is also used to perform parameter inversion on the feedback displacement data and the predicted force to obtain high-fidelity physical parameters, and to determine the feedback force based on the high-fidelity physical parameters; wherein, the high-fidelity physical parameters include the constitutive parameters of the soil and the material parameters of the underground structure; The numerical subsystem is also used to determine unbalanced force data based on the predicted force and the feedback force, and drive the hybrid test process to perform multiple iterations based on the unbalanced force data, so as to control the unbalanced force data corresponding to the iterated hybrid test process to be lower than the tolerance.

2. The test system for applying the proximity engineering-stratum-subsurface structure system according to claim 1, characterized in that, The numerical subsystem includes: Numerical models of the adjacent engineering and the formation are used to simulate construction disturbance data and formation response data of the adjacent engineering. The test unit, connected to the LabVIEW communication plugin, is used to determine the predicted displacement data based on the construction disturbance data and the formation response data; wherein, the LabVIEW communication plugin is used to achieve communication with at least 100 degrees of freedom, and the upper limit of the number of degrees of freedom depends on the available memory of the computer.

3. The test system for applying the proximity engineering-stratum-subsurface structure system according to claim 1, characterized in that, The physical subsystem also includes: The geological-structural physical model includes a similar scale model of the target underground structure and the surrounding soil, which is used to withstand the target predicted force of the test device.

4. The test system for applying the proximity engineering-stratum-subsurface structure system according to claim 1, characterized in that, The agent subsystem includes: A formation-structure numerical model incorporating high-fidelity physical parameters of the physical subsystem; Model parameter inversion module.

5. The test system for applying the proximity engineering-stratum-subsurface structure system according to claim 1 or 3, characterized in that, The physical subsystem includes a boundary corresponding to a vertical loading plate, a boundary corresponding to a horizontal loading plate, and a boundary corresponding to a base plate. Both the boundary corresponding to the loading plate and the boundary corresponding to the base plate are provided with multiple nodes. The vertical degrees of freedom of the nodes corresponding to the vertical loading plate and the boundary corresponding to the base plate are bound together by partitions. The vertical degrees of freedom of each node corresponding to the horizontal loading plate is also bound together by partitions.

6. The test system for applying the proximity engineering-stratum-subsurface structure system according to claim 3, characterized in that, The test apparatus is also used to apply a target predicted force to the formation-structure physical model; wherein the target predicted force is determined based on the difference between the predicted force and the lateral pressure corresponding to the soil gravity in the surrogate subsystem.

7. A control method for a test system applying a proximity engineering-stratum-subsurface structure system, characterized in that, include: Based on the numerical subsystem, load increments are obtained through a hybrid test process based on proximity engineering, strata, and underground structure systems, and predicted displacement data are determined based on the load increments. Based on the agent subsystem, when the numerical subsystem iteratively converges, numerical analysis is performed using the predicted displacement data as the boundary displacement load to obtain the predicted force. The predicted force is applied based on the physical subsystem, and the corresponding feedback displacement data is measured. The physical subsystem includes an experimental apparatus, and the step of applying the predicted force based on the physical subsystem and measuring the feedback displacement data corresponding to the predicted force includes: The test device receives the predicted force and converts it into a target predicted force, and measures the feedback displacement data corresponding to the target predicted force; the target predicted force is determined based on the difference between the predicted force and the lateral pressure corresponding to the soil gravity in the proxy subsystem. Based on the agent subsystem, parameter inversion is performed on the feedback displacement data and the predicted force to obtain high-fidelity physical parameters, and the feedback force is determined based on the high-fidelity physical parameters; wherein, the high-fidelity physical parameters include the constitutive parameters of the soil and the material parameters of the underground structure; The numerical subsystem determines the unbalanced force data based on the predicted force and the feedback force, and drives the hybrid test process to perform multiple iterations based on the unbalanced force data, so as to control the unbalanced force data corresponding to the iterated hybrid test process to be lower than the tolerance.

8. The control method for the test system applying the proximity engineering-stratum-subsurface structure system according to claim 7, characterized in that, The step of loading the predicted force based on the physics subsystem and measuring the corresponding feedback displacement data includes: The target predicted force is determined based on the difference between the predicted force and the corresponding lateral pressure of the soil gravity in the agent subsystem; The feedback displacement data is determined based on the target predicted force.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the control method for the test system of the proximity engineering-stratum-subsurface structure system as described in any one of claims 7 to 8.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the control method for the test system of the proximity engineering-stratum-subsurface structure system as described in any one of claims 7 to 8.

Images