A foundation pit support design method and system based on digital twinning

Abstract

This invention relates to the field of foundation pit support design technology, and provides a foundation pit support design method and system based on digital twins. The method includes: establishing a digital twin related to the foundation pit and support; constructing a corresponding change curve from the foundation pit excavation data; substituting the curve into the digital twin to predict the mechanical parameters of the foundation pit sidewall at the unexcavated depth, thereby obtaining second soil layer change prediction data; judging the future support requirements changes at various points in the foundation pit based on the second soil layer change prediction data and real-time foundation pit support data, and adaptively reinforcing the foundation pit support using coordinates, thereby reducing foundation pit support costs and improving the efficiency of excavation-as-you-go support.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of foundation pit support scheme design, and particularly relates to a foundation pit support design method and system based on digital twinning. BACKGROUND

[0002] In the prior art, before a certain project is constructed, a foundation pit is excavated first. However, in the process of excavating the foundation pit, the edge soil layer may have a risk of overturning and sliding, affecting the stability of the foundation pit. In addition, before the foundation pit is excavated, a support scheme of the foundation pit is generally set. The cost difference of foundation pit support for foundation pits of the same size may be millions of dollars, greatly affecting the overall project cost. SUMMARY

[0003] The present application provides a foundation pit support design method based on digital twinning, which is used to solve the problem of low efficiency and uncontrollable cost of setting a foundation pit support in the prior art.

[0004] The present application provides a foundation pit support design method based on digital twinning, which is used to solve the problem of low efficiency and uncontrollable cost of setting a foundation pit support in the prior art.

[0005] Obtain current foundation pit data, set corresponding minimum foundation pit support data according to the foundation pit data, and establish a corresponding digital twin model;

[0006] Obtain current foundation pit excavation real-time data, obtain a plurality of soil layer parameter real-time change curves, and predict the soil layer parameter real-time change curves to obtain a plurality of soil layer parameter prediction curves; substitute the predicted soil layer parameters into a preset digital twin model to obtain discrete first soil layer mechanical change prediction data, and construct continuous second soil layer mechanical change prediction data around the foundation pit based on the soil layer mechanical change prediction data;

[0007] Obtain current foundation pit support data in the digital twin model, and compare the data with the second soil layer mechanical change prediction data to identify the coordinates of the foundation pit support area that cannot meet the second soil layer mechanical change prediction data, and set foundation pit support reinforcement parameters according to the pressure difference.

[0008] Optionally, the prediction based on the soil layer parameter real-time change curve to obtain a plurality of soil layer parameter prediction curves is specifically as follows:

[0009] Obtain weather prediction data to obtain prediction precipitation data, predict the soil layer parameter real-time change curve to obtain a plurality of soil layer parameter prediction curves.

[0010] Optionally, after obtaining the current foundation pit support data in the digital twin model, the method further includes:

[0011] Obtain monitoring data of the foundation pit support, judge whether the displacement and deformation of the support are out of limits, if yes, set corresponding foundation pit support reinforcement parameters according to the out-of-limit values of the displacement and deformation of the foundation pit support.

[0012] The second aspect of the application provides a foundation pit support design system based on digital twinning, comprising:

[0013] A digital twinning construction module is configured to obtain current foundation pit data, set corresponding minimum foundation pit support data according to the foundation pit data, and establish a corresponding digital twinning model.

[0014] A data prediction module is configured to obtain real-time data of current foundation pit excavation, obtain a plurality of real-time change curves of soil layer parameters, and predict according to the real-time change curves of the soil layer parameters to obtain a plurality of predicted curves of the soil layer parameters; substitute the predicted soil layer parameters into a preset digital twinning model to obtain discrete first soil layer mechanical change prediction data, and construct continuous second soil layer mechanical change prediction data around the foundation pit based on the soil layer mechanical change prediction data.

[0015] A support design module is configured to obtain current foundation pit support data in the digital twinning model, compare the data with the second soil layer mechanical change prediction data, identify coordinates of a foundation pit support area that cannot meet the second soil layer mechanical change prediction data, and set foundation pit support reinforcement parameters according to pressure differences.

[0016] Optionally, in the data prediction module, the prediction according to the real-time change curves of the soil layer parameters to obtain a plurality of predicted curves of the soil layer parameters is specifically as follows:

[0017] Obtain weather prediction data to obtain predicted precipitation data, predict according to the real-time change curves of the soil layer parameters to obtain a plurality of predicted curves of the soil layer parameters.

[0018] Optionally, in the data prediction module, after obtaining the current foundation pit support data in the digital twinning model, the method further comprises:

[0019] Obtain monitoring data of the foundation pit support, judge whether the displacement and deformation of the support are out of limits, if yes, set corresponding foundation pit support reinforcement parameters according to the out-of-limit values of the displacement and deformation of the foundation pit support.

[0020] The third aspect of the application provides a foundation pit support design method and device based on digital twinning, the device comprising a processor and a memory:

[0021] The memory is configured to store program code and transmit the program code to the processor.

[0022] The processor is configured to execute the method according to the instructions in the program code.

[0023] The fourth aspect of the present application provides a computer readable storage medium for storing program code for executing the digital twin-based foundation pit support design method of any one of the first aspect of the present application.

[0024] From the above technical solutions, the present application has the following advantages: a digital twin related to the foundation pit and the support is established, the corresponding change curve is constructed from the data of the foundation pit excavation, the second soil layer change prediction data is obtained by substituting the digital twin into the unexcavated depth foundation pit sidewall mechanical parameter prediction, the future support demand change of each part of the foundation pit is judged according to the second soil layer change prediction data and the real-time foundation pit support data, and the adaptive foundation pit reinforcement is carried out on the foundation pit support with coordinates, thereby reducing the foundation pit support cost and improving the efficiency of the excavation and support. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0026] Figure 1 A flowchart of a digital twin-based foundation pit support design method;

[0027] Figure 2 A structure diagram of a digital twin-based foundation pit support design system. DETAILED DESCRIPTION

[0028] In order to make the purposes, features and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings of the embodiments of the present application. Obviously, the following described embodiments are only some embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0029] The present application provides a digital twin-based foundation pit support design method, which is used to solve the problem of low efficiency and difficult cost control of the existing foundation pit support setting.

[0030] Please refer to Figure 1 , Figure 1 The first flowchart of a digital twin-based foundation pit support design method provided by the embodiments of the present application.

[0031] S100, obtaining current foundation pit data, setting corresponding minimum foundation pit support data according to the foundation pit data, and establishing a corresponding digital twin model;

[0032] It should be noted that the foundation pit data is the data of the foundation pit to be excavated in the current project and the real-time excavation depth data of the foundation pit, i.e., the length, width and depth data of the foundation pit to be finally excavated, the depth state of the foundation pit in the real-time state, and the current foundation pit soil layer condition. Based on these foundation pit data, the foundation pit part of the digital twin can be constructed, and the real-time foundation pit state can be mapped while mapping the future preset foundation pit data. The real-time foundation pit state includes the foundation pit excavation depth and soil layer distribution, groundwater level, and geotechnical mechanics parameters, including cohesion, internal friction angle, and permeability coefficient. Before excavation, a foundation pit support design scheme that meets the basic requirements of overturning stability, sliding stability and overall stability can be set according to the length, width and depth of the foundation pit to be excavated in the current project, and all depth soil layers of the foundation pit are considered to be consistent with the surface soil layer parameters. That is, the most basic support scheme under the condition of no soil density change, no water level change and no seepage damage in the future;

[0033] The digital twin foundation pit part can be used for mechanical analysis and stability calculation to calculate the required support structure internal force (bending moment, shear force) for anti-overturning and anti-sliding stability. Finite element software such as PLAXIS and MIDAS GTS is used in the digital twin to meet the specification requirements of the foundation pit support technical regulations. After constructing the most basic foundation pit support scheme, the minimum foundation pit support data is used to construct the support part in the digital twin, and bored piles or steel sheet piles are used to form row pile support.

[0034] S200, obtaining current foundation pit excavation real-time data, obtaining a plurality of soil layer parameter real-time change curves, predicting according to the soil layer parameter real-time change curves, and obtaining a plurality of soil layer parameter prediction curves; substituting the predicted soil layer parameters into the preset digital twin model to obtain discrete first soil layer mechanical change prediction data, and constructing continuous second soil layer mechanical change prediction data around the foundation pit based on the soil layer mechanical change prediction data;

[0035] It should be noted that the data changing with the excavation depth is recorded in real time during the excavation of the foundation pit, the soil compaction sensor can be used to detect in real time during the excavation to obtain the relationship between the foundation pit depth and the soil density change, and a relationship curve function of the soil density changing with the foundation pit depth is constructed; the soil density is not uniform at different depths, but the excavation of the foundation pit is generally carried out at a uniform depth, for example, when the foundation pit is excavated to a certain depth, there is a large difference in the density parameters of the soil layer in a region and another region, at this time, the difference in the foundation pit support requirement may change, then a plurality of sensors can be arranged around the foundation pit, and then a plurality of soil layer parameter real-time change curves are obtained, each curve has a corresponding foundation pit plane coordinate, that is, each soil layer density change curve reflects the change of the soil layer density with the depth at a certain point coordinate on the foundation pit horizontal plane, in the embodiment, each sensor can be arranged beside the foundation pit support pile to directly detect the change of the soil layer near the support, or directly detect on the side wall around the foundation pit; although the type and nature of the soil layer may change from sandy soil to clay soil, the parameter change of the soil layer should be continuous, that is, the subsequent soil layer parameters can be predicted based on the change trend of the soil layer parameters from the real-time change curve, the soil layer parameter prediction model can be pre-trained, the soil layer parameter prediction curve is input into the prediction model to obtain the soil layer parameter prediction curve, and the soil layer parameter prediction curve is substituted into the digital twin model constructed in the foregoing step S100 to supplement the physical quantity parameters of the digital twin of the part of the foundation pit.

[0036] The deeper the foundation pit depth, the greater the bending moment, shear force and pressure brought by the soil layer depth that the support needs to bear, based on the recorded known soil layer parameters and the predicted soil layer parameters, the cumulative change of the soil layer density can be calculated by integral finite element method, and the pressure condition brought by each depth, in the embodiment, the soil layer parameter detection sensor is discretely distributed, therefore, the corresponding first soil layer mechanical change prediction data is also discretely distributed according to the plane coordinates of the sensor arrangement, and the mechanical data obtained after the finite element integration is the mechanical condition on the unit area; based on the digital twin model, the first soil layer mechanical change prediction data of multiple points discretely arranged around the foundation pit side wall is used to construct the second soil layer mechanical change prediction data continuously covering the entire side wall surface around the foundation pit, that is, the first soil layer mechanical change prediction data is the mechanical prediction data of multiple vertical lines of the foundation pit side wall, and the second soil layer mechanical change prediction data is the mechanical prediction data on the entire foundation pit side wall surface, and the mechanical prediction data in the embodiment covers the data of the real-time excavated foundation pit depth and the subsequent unexcavated foundation pit depth in the digital twin.

[0037] S300, acquire the current foundation pit support data in the digital twin model, and compare the data with the second soil layer mechanical change prediction data to identify the foundation pit support region coordinates that cannot meet the second soil layer mechanical change prediction data, and set the foundation pit support reinforcement parameters according to the pressure difference.

[0038] It should be noted that the digital twin model updates the parameters of the foundation pit support in real time. The initial foundation pit support parameters are the minimum support data of the aforementioned step S100. The foundation pit support parameters are updated in real time during the excavation and support process. The foundation pit support data is compared with the predicted data of the second soil layer mechanical changes at the corresponding coordinate positions to determine whether the foundation pit support can meet the bending moment and shear pressure brought by the soil layer after the foundation pit is excavated. The coordinates of all foundation pit support areas that cannot meet the requirements of the subsequent foundation pit excavation are identified. At the same time as identification, the pressure difference is calculated, and the corresponding foundation pit reinforcement scheme is set based on the pressure difference. The foundation pit reinforcement schemes include adding anchor rods, inserting micropiles, and grouting to reinforce weak areas.

[0039] Furthermore, as the excavation of the foundation pit progresses, the aforementioned steps S200 and S300 are repeated. As the reinforcement of the foundation pit support changes, as well as the changes in soil mechanical parameters, as well as the changes in the depth of the foundation pit and the current foundation pit support, the reinforcement and updating of the foundation pit support are carried out in real time.

[0040] In this embodiment, a digital twin related to the foundation pit and its support is established. The excavation data of the foundation pit is used to construct the corresponding change curve, which is then substituted into the digital twin to predict the mechanical parameters of the foundation pit sidewall at the unexcavated depth, thus obtaining the second soil layer change prediction data. Based on the second soil layer change prediction data and real-time foundation pit support data, the future support requirements at various points in the foundation pit are determined, and the foundation pit support is adaptively reinforced using coordinates, thereby reducing the foundation pit support cost and improving the efficiency of excavation and support.

[0041] The above is a detailed description of the first embodiment of the foundation pit support design method based on digital twin provided in this application. The following is a detailed description of the second embodiment of the foundation pit support design method based on digital twin provided in this application.

[0042] In this embodiment, a foundation pit support design method based on digital twin is further provided. In the aforementioned step S200, the prediction based on the real-time change curve of soil parameters to obtain multiple corresponding soil parameter prediction curves is specifically as follows: obtain weather forecast data, obtain predicted precipitation data, and make predictions based on the real-time change curve of soil parameters to obtain multiple corresponding soil parameter prediction curves.

[0043] It should be noted that the precipitation can be obtained from the local meteorological bureau's weather forecast data. Based on the precipitation and the predicted real-time data of soil layer parameters, the corresponding soil density and mechanical change data after precipitation can be obtained, thus obtaining the corresponding predicted data of the first soil layer mechanical change. Rainfall will rapidly raise the groundwater level, increase the water pressure outside the pit, and lead to an increase in the lateral load on the support piles. After the soil is saturated, the cohesion decreases, the shear strength decreases, and the risk of pile displacement is aggravated. The support design needs to consider the groundwater pressure and the soil consolidation settlement caused by precipitation. In actual engineering, the scheme is dynamically adjusted by combining numerical simulation and real-time monitoring. Based on the predicted extreme weather, the support scheme is changed in time to ensure the safety of the foundation pit.

[0044] Furthermore, in step S300, after acquiring the current foundation pit support data in the digital twin model, the method further includes: acquiring monitoring data of the foundation pit support, determining whether the displacement and deformation of the support exceed the limits, and if so, setting corresponding foundation pit support reinforcement parameters according to the excessive displacement and deformation values ​​of the foundation pit support; it should be noted that sensors can be installed on the foundation pit support piles to monitor the horizontal displacement of the pile top. When the horizontal displacement exceeds the preset percentage of the foundation pit depth, or the daily deformation rate exceeds the threshold millimeter, measures such as unloading and excavating the top of the pit and backfilling the pit with counter-pressure and adding internal support prestressed anchor cables are required; the axial force of the anchor rod is monitored by sensors. When the axial force of the anchor rod support exceeds the preset threshold ratio of the design value, or when the support buckles, anchor rods of the same specification need to be added or replaced with higher strength steel strands, and the support points need to be reinforced by welding stiffening plates.

[0045] The above is a detailed description of a digital twin-based foundation pit support design method provided by the first aspect of this application. The following is a detailed description of an embodiment of a digital twin-based foundation pit support design system provided by the second aspect of this application.

[0046] Please see Figure 2 , Figure 2 This is a structural diagram of a digital twin-based foundation pit support design system. This embodiment provides a digital twin-based foundation pit support design system, including:

[0047] The digital twin construction module 10 is used to acquire the current foundation pit data, set the corresponding minimum foundation pit support data according to the foundation pit data, and establish the corresponding digital twin model.

[0048] The data prediction module 20 is used to acquire real-time data of the current foundation pit excavation, obtain multiple real-time change curves of soil layer parameters, and make predictions based on the real-time change curves of soil layer parameters to obtain corresponding multiple prediction curves of soil layer parameters; substitute the predicted soil layer parameters into the preset digital twin model to obtain discrete first soil layer mechanical change prediction data, and construct continuous second soil layer mechanical change prediction data around the foundation pit based on the soil layer mechanical change prediction data.

[0049] The support design module 30 is used to acquire the current foundation pit support data in the digital twin model, compare it with the second soil layer mechanical change prediction data, identify the coordinates of the foundation pit support area that cannot meet the second soil layer mechanical change prediction data, and set the foundation pit support reinforcement parameters according to the pressure difference.

[0050] Furthermore, in the data prediction module 20, predictions are made based on the real-time change curves of soil layer parameters to obtain multiple corresponding soil layer parameter prediction curves, specifically:

[0051] By acquiring weather forecast data and obtaining predicted precipitation data, and by making predictions based on the real-time change curves of soil parameters, multiple corresponding soil parameter prediction curves are obtained.

[0052] Furthermore, after acquiring the current foundation pit support data from the digital twin model, the data prediction module 20 also includes:

[0053] Obtain monitoring data of the foundation pit support, determine whether the displacement and deformation of the support exceed the limits, and if so, set the corresponding foundation pit support reinforcement parameters according to the excess values ​​of the foundation pit support displacement and deformation.

[0054] A third aspect of this application also provides a device for a foundation pit support design method based on digital twins, including a processor and a memory: wherein the memory is used to store program code and transmit the program code to the processor; the processor is used to execute the aforementioned foundation pit support design method based on digital twins according to the instructions in the program code.

[0055] A fourth aspect of this application provides a computer-readable storage medium, characterized in that the computer-readable storage medium is used to store program code for executing the above-described digital twin-based foundation pit support design method.

[0056] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described apparatus and equipment can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0057] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between apparatuses or units through some interfaces, and may be electrical, mechanical, or other forms.

[0058] 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 units can be selected to achieve the purpose of this embodiment according to actual needs.

[0059] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0060] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or 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.

[0061] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. 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. Such 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 foundation pit support design method based on digital twins, characterized in that... include: Obtain the current foundation pit data, set the corresponding minimum foundation pit support data based on the foundation pit data, and establish the corresponding digital twin model; The system acquires real-time data of the current foundation pit excavation, sets up multiple sensors around the foundation pit at intervals to obtain multiple real-time change curves of soil layer parameters, and makes predictions based on these curves to obtain corresponding multiple predicted curves of soil layer parameters. The predicted soil layer parameters are then substituted into a preset digital twin model to obtain discrete first soil layer mechanical change prediction data, and based on the first soil layer mechanical change prediction data, continuous second soil layer mechanical change prediction data around the foundation pit is constructed. Obtain the current foundation pit support data in the digital twin model and compare it with the second soil layer mechanical change prediction data. Identify the coordinates of the foundation pit support area that cannot meet the second soil layer mechanical change prediction data, and set the foundation pit support reinforcement parameters according to the pressure difference.

2. The foundation pit support design method based on digital twins according to claim 1, characterized in that, The prediction based on the real-time change curve of soil layer parameters yields multiple corresponding soil layer parameter prediction curves, specifically as follows: By acquiring weather forecast data and obtaining predicted precipitation data, and by making predictions based on the real-time change curves of soil parameters, multiple corresponding soil parameter prediction curves are obtained.

3. The foundation pit support design method based on digital twins according to claim 1, characterized in that, After obtaining the current foundation pit support data in the digital twin model, the process also includes: Obtain monitoring data of the foundation pit support, determine whether the displacement and deformation of the support exceed the limits, and if so, set the corresponding foundation pit support reinforcement parameters according to the excess values ​​of the foundation pit support displacement and deformation.

4. A foundation pit support design system based on digital twins, characterized in that, include: The digital twin construction module is used to acquire the current foundation pit data, set the corresponding minimum foundation pit support data based on the foundation pit data, and build the corresponding digital twin model. The data prediction module is used to acquire real-time data of the current foundation pit excavation, set up multiple sensors around the foundation pit to obtain multiple real-time change curves of soil layer parameters, and make predictions based on the real-time change curves of soil layer parameters to obtain corresponding multiple predicted curves of soil layer parameters; substitute the predicted soil layer parameters into a preset digital twin model to obtain discrete first soil layer mechanical change prediction data, and construct continuous second soil layer mechanical change prediction data around the foundation pit based on the first soil layer mechanical change prediction data. The support design module is used to acquire the current foundation pit support data in the digital twin model, compare it with the second soil layer mechanical change prediction data, identify the coordinates of the foundation pit support area that cannot meet the second soil layer mechanical change prediction data, and set the foundation pit support reinforcement parameters according to the pressure difference.

5. The foundation pit support design system based on digital twin according to claim 4, characterized in that, In the data prediction module, predictions are made based on the real-time change curves of soil layer parameters, resulting in multiple corresponding soil layer parameter prediction curves, specifically: By acquiring weather forecast data and obtaining predicted precipitation data, and by making predictions based on the real-time change curves of soil parameters, multiple corresponding soil parameter prediction curves are obtained.

6. The foundation pit support design system based on digital twin according to claim 4, characterized in that, The data prediction module, after acquiring the current foundation pit support data from the digital twin model, also includes: Obtain monitoring data of the foundation pit support, determine whether the displacement and deformation of the support exceed the limits, and if so, set the corresponding foundation pit support reinforcement parameters according to the excess values ​​of the foundation pit support displacement and deformation.

7. A foundation pit support design device based on digital twins, characterized in that, The device includes a processor and a memory: The memory is used to store program code and transmit the program code to the processor; The processor is used to execute, according to the instructions in the program code, a foundation pit support design method based on digital twins as described in any one of claims 1-3.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store program code for executing the foundation pit support design method based on digital twin as described in any one of claims 1-3.

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