CN115936437A - Foundation pit construction risk assessment method and system based on digital twin simulation platform - Google Patents
Foundation pit construction risk assessment method and system based on digital twin simulation platform Download PDFInfo
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Abstract
The invention discloses a foundation pit construction risk assessment method and system based on a digital twin simulation platform, wherein the method comprises the following steps: building a BIM live-action model; establishing a corresponding foundation pit construction full-life-cycle three-dimensional prediction model; establishing an actual measurement model for foundation pit construction; comparing the built prediction model with the built actual measurement model in the built BIM live-action model, adjusting corresponding parameters by adopting an AI algorithm in combination with the field surrounding environment, geological conditions, construction scheme and engineering profile, and carrying out inversion correction on the predicted value to achieve the error optimization with the actual measurement result, so that the prediction model is adjusted, and the predicted value of the next construction is calculated; the adjusted prediction model and the actual measurement model are combined in the BIM real scene, and the past, present and future coupling and display of the foundation pit engineering are realized in a digital twin mode through the mapping relation of virtual-real blending of a foundation pit construction physical space and a virtual space; the prediction and the actual measurement are compared with each other for cooperation, so that the construction can be guided more effectively.
Description
Technical Field
The invention belongs to the technical field of foundation pit construction risk assessment, and particularly relates to a foundation pit construction risk assessment method and system based on a digital twin simulation platform.
Background
Along with the high-speed development of urbanization, underground engineering construction is increasing day by day, the urban foundation pit excavation construction risk is high, the difficulty is large, and the problem of foundation pit engineering safety is frequent. The evaluation and analysis of foundation pit construction risks in the current stage mostly stay in the rule of after-the-fact summary, the risk analysis and prediction method is mostly focused on a pure mathematical model, and the association between monitoring data and the foundation pit working condition and the mechanical model is not effectively established. The risk tracking and early warning are still conventional standards, and single parameter is adopted for risk control. The global control of the foundation pit engineering risk depends on the self experience and level of technicians to a great extent, the visualization function of the monitoring system generally has no three-dimensional digital modeling function, the output and display functions of the monitoring result are weak, and the field engineering technicians are difficult to quickly and effectively determine the risks of each point in the corresponding space according to the current working conditions.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, integrates the pre-construction analysis and the future scene prediction of the foundation pit into a twin scene, takes the foundation pit engineering as a unit, takes space-time data as a base, takes a constitutive model as a core, takes geotechnical knowledge as a drive, carries out digital mapping and intelligent simulation on the safety monitoring management of the whole elements and the whole life cycle of the foundation pit engineering through dynamic parameter adjustment and professional algorithm application, and realizes synchronous simulation operation, virtual-real interaction and iterative optimization with the underground engineering by applying a virtual reality technology. Through digital twin simulation and simulation analysis of foundation pit construction, prediction analysis and safety judgment auxiliary support with practical engineering guidance significance are provided, construction deepening and optimization of important special items of underground engineering are guided, and a simple and practical analysis tool and method are provided for construction operation management and dangerous case identification.
The technical scheme adopted by the invention is as follows:
a foundation pit construction risk assessment method based on a digital twin simulation platform comprises the following steps:
step 1, building a BIM live-action model according to a foundation pit construction site scene, a ground surface surrounding environment and an underground geological condition;
step 2, collecting physical and mechanical parameters and construction procedures of a stratum where the foundation pit is located, carrying out finite element simulation, and establishing a corresponding foundation pit construction full-life-cycle three-dimensional prediction model;
step 3, collecting ready-made implementation monitoring data of foundation pit construction, carrying out spatial coordination processing, and establishing an actual measurement model of the foundation pit construction;
step 4, comparing the prediction model established in the step 2 with the actual measurement model established in the step 3 in the BIM live-action model established in the step 1, adjusting corresponding parameters by combining the field surrounding environment, geological conditions, construction scheme and engineering general profile, and performing inversion correction on the predicted value by adopting an AI algorithm so as to adjust the prediction model and calculate the predicted value of the next construction;
and 5, combining the adjusted prediction model and the actual measurement model in a BIM real scene, displaying the mapping relation of the virtual-real blending of the physical space and the virtual space in real time in a digital twin mode, continuously comparing and coordinating with each other according to needs, and providing auxiliary support for foundation pit construction risk control and optimized construction.
Further, in the step 2, according to engineering practice, combining with the data of the geological survey report, selecting a physical mechanical model and a modeling parameter, and performing finite element simulation by adopting a numerical simulation means to establish a three-dimensional prediction model of the whole life cycle of the foundation pit construction. The method specifically comprises the following steps: based on the characteristics of rock and soil, corresponding constitutive models are adopted for rock and soil mass units, and model parameters (weight r, porosity ratio e, compression modulus Es, cohesion c and internal friction angle) are input
Soil layer thickness, permeability coefficient k, etc.); adopting an elastic constitutive model for structural units such as a support and a continuous wall of a foundation pit, and inputting parameters such as size, weight, elastic modulus and the like; and acquiring construction process and structure size data according to a foundation pit design drawing and a construction drawing, and performing finite element simulation calculation to obtain a three-dimensional prediction model reflecting vector changes of parameters (such as displacement, stress, strain and the like) studied in the whole life cycle of the foundation pit under the key working condition.
Further, the step 3 specifically includes: according to a specific example of the invention, a python code can be adopted to extract data and organize logic, and a tricontrourf () function in a pyplot module of a matplotlib library is called to draw a vector cloud picture of stress and deformation of the foundation pit on an unstructured triangular grid, so that an actual measurement model of foundation pit construction is established. And simulating real vector change based on gray change by a UE4 material system in a Mask gray scale image form of the vector cloud image.
Further, in the step 4, the BIM models with different sources and different formats in the steps 1 and 3 are converted into a general FBX and an OBJ format, or are directly exported through a Datasmith plug-in. The model can be processed by DCC software, the details of the model are enriched, and texture illumination UV is processed. The PBR process is used, so that the scene performance is more consistent with physical rules, and the illumination calculation is more consistent with reality. Restoring a scene of a foundation pit construction site, a surrounding environment of the earth surface and an underground geologic body according to a real scene, establishing a twin scene, and building immersive experience by using a phantom engine to perform high-fidelity rendering presentation; the prediction model in step 2 can be converted into an input file of a virtual engine through a file, and a numerical simulation model (namely, the prediction model) analyzed in advance is integrated into the BIM real scene.
Further, in the step 4, the adjustment parameters are specifically parameters such as an adjustment elastic modulus, an internal friction angle, and the like, and the parameter information that is common to different constitutive models includes, but is not limited to, an elastic modulus E, a cohesion force c, an internal friction angle Φ, a poisson ratio r, and the like.
The invention calculates theoretical values and field measured data through finite element analysis, and displays and compares the theoretical values and the field measured data in a value twin BIM real scene in a three-dimensional model mode. The method is characterized in that a field surrounding environment, geological conditions, a construction scheme and a project outline are combined, an AI algorithm is adopted to perform inverse analysis to correct a numerical simulation model and parameter values, the simulation value result is subjected to inverse analysis to achieve error optimization with an actual measurement result, an optimal parameter inversion method is determined, a parameter inversion program script is provided for the system, and the method can be applied to subsequent prediction analysis of similar items. According to a specific example of the invention, dynamic parameter transmission can be carried out through the front end, the java back end calls an automatic model interface developed by a numerical simulation software python interface, processed data interaction and model drawing are carried out through the automatic model interface, finally, a python script outputs corresponding data, model dynamic videos and pictures according to the processing process of participating in an actual model, and feeds the data, the model dynamic videos and the pictures back to the java back end to adjust and correct the model in real time, and the intrinsic performance representation of each key node of the foundation pit engineering and the dynamic response mode of the actual situation under actual measurement are displayed on the front end.
Compared with the prior art that the current scene can only be displayed in real time by utilizing a digital twin, the invention can realize bidirectional mapping, dynamic blending and real-time coupling by performing real-time and accurate reaction and mutual comparison and cooperation on the whole life cycle of the foundation pit engineering from two angles of a physical space and a virtual space, can realize the coupling in the past, the present and the future, namely the prior analysis of numerical simulation of the foundation pit construction before the excavation of the foundation pit by a design institute, real-time synchronous display of scenes such as the laying of a sensor, monitoring data and construction progress, and the display of the future equipment aging, the future stress change and the like after years under the climate change based on a freeze-thaw cycle model. According to the invention, through the BIM model, multi-view and multi-working condition are realized on the front-end platform in a digital twin mode, the risk information of the time-space effect is combined, the time and space factors of foundation pit construction are considered, the law of the time-space effect on environmental deformation caused by foundation pit excavation and precipitation can be summarized, and effective control measures are provided. The method is applied to actual engineering by combining the proposed control measures, and is more favorable for analyzing the actual control effect.
The invention also provides a foundation pit construction risk assessment system based on the digital twin simulation platform, which comprises the following steps:
the real scene construction unit is used for establishing a BIM real scene model according to the scene of the foundation pit construction site, the surrounding environment of the earth surface and the underground geological condition;
the prediction unit is constructed with a foundation pit construction full-life-cycle three-dimensional prediction model and used for three-dimensionally predicting the vector changes of stress and strain of the foundation pit under the key working condition;
the actual measurement unit is used for carrying out space coordinate processing according to the ready-made implementation monitoring data of the foundation pit construction and establishing an actual measurement model of the foundation pit construction;
the parameter adjusting module is used for combining the prediction model and the actual measurement model into the BIM real scene model, comparing the prediction model and the actual measurement model and adjusting the parameters of the prediction model;
and the display unit is used for combining the adjusted prediction model and the adjusted actual measurement model into the BIM real scene model and displaying in a digital twinning mode.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the foundation pit construction simulation modeling is carried out by adopting a digital twin simulation platform and a refined data transmission mode, and the modeling accuracy and the deduction efficiency are improved by an inversion analysis mode. A digital three-dimensional model is established based on an actual measurement value and a predicted value in the foundation pit construction process, a mapping relation of virtual-real blending and intelligent control is established, and information is real and visible, tracks can be circulated in real time, and states can be checked at any time through real-time and accurate reaction and comparison cooperation of the whole life cycle. The space-time distribution model of the foundation pit monitoring object is realized based on the data set and multi-source information data fusion technology, the change rule, the effect and the influence factors (stress and deformation visualization and risk source identification) of each component data model in the foundation pit excavation process are analyzed in combination with the working conditions, and construction can be guided more effectively.
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FIG. 1 is a schematic flow diagram of the process of the present invention;
Detailed Description
The technical solution of the present invention will be further described in detail with reference to the accompanying drawings and specific examples.
The present invention will be described in more detail hereinafter with reference to the accompanying drawings, in which embodiments of the invention are shown. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Referring to fig. 1, a foundation pit engineering risk assessment method and system based on a digital twin simulation platform for analyzing horizontal displacement change of a deep layer of an underground diaphragm wall and surrounding environment influence in a foundation pit construction process in a Hangzhou region according to an embodiment of the invention are described in detail.
As shown in fig. 1, the foundation pit engineering risk assessment method based on the digital twin simulation platform includes the following steps:
s1, building a BIM three-dimensional model for a foundation pit construction site scene, a ground surface surrounding environment and an underground geological condition, and the method comprises the following steps:
and S11, modeling by using cad drawing through DCC software such as 3dmax and the like, and making materials by using high-definition mapping to obtain a real three-dimensional model.
And S12, generating a large number of on-site real photos by using an unmanned aerial vehicle oblique photography technology, and carrying out batch color mixing on the photos by using Lightroom Classic software. And generating a one-to-one real scene three-dimensional model by using three-dimensional scanning software such as ContextCapture.
And S13, importing the real geological information by using a plug-in Dynamo of revit, and generating a geological BIM model.
And S14, importing the models into the UE4, matching corresponding positions according to actual geographic positions, and generating a complete scene model.
S2, collecting physical and mechanical parameters and construction procedures of a stratum where the foundation pit is located, carrying out finite element simulation, and establishing a corresponding foundation pit construction full-life-cycle three-dimensional prediction model, wherein the method comprises the following steps:
s21, determining that the stratum where the foundation pit is located is a composite stratum of upper and lower soil rocks by combining a geological survey report according to the geographical position of the foundation pit, selecting a Cambridge correction constitutive model for the upper soft clay stratum, selecting a Mokolun constitutive model for the lower siltstone, selecting a linear elastic constitutive model for the supporting structure, and determining corresponding modeling parameter.
S22, referring to engineering practices such as construction methods and construction procedures, carrying out finite element simulation by adopting a numerical simulation means, establishing a deformation three-dimensional numerical simulation model of the horizontal displacement of the deep layer of the underground diaphragm wall of the foundation pit in the construction full life cycle of step-by-step excavation, support erection, bottom plate and cushion layer pouring, support replacement and support removal, and obtaining theoretical predicted values under different working conditions.
And S23, exporting the prediction model to UE4 in a format of wrl, carrying out matching adjustment according to the spatial position, and integrating the prediction model into a large scene BIM model of a foundation pit construction site.
S3, collecting implementation monitoring data of a foundation pit construction site, carrying out spatial coordination processing, and establishing an actual measurement model of foundation pit construction, wherein the method comprises the following steps:
s31, determining the position relation between the measuring points and the foundation pit diaphragm wall according to the geographic positions and the measuring depths of monitoring points arranged on the foundation pit construction site, determining x and y coordinates of each measuring point on each diaphragm wall, taking the actually measured horizontal displacement under each working condition node as the value of the point, and drawing a color spot diagram of the deep horizontal displacement of the foundation pit diaphragm wall under the working condition on an unstructured triangular network by adopting python and based on a tricontourf () function in a pyplot module of a matplotlib library.
And S32, connecting nodes to generate vector changes in a mode of a Mask gray scale map of the horizontal displacement speckle pattern of the deep layer of the diaphragm wall of each surface of the foundation pit corresponding to each working condition through world position deviation in a UE4 material system.
And S33, based on the construction step data accessed by the platform, considering the time and space factors of foundation pit construction, and establishing an actually measured three-dimensional model of vector changes of each surface of the foundation pit under each working condition node.
S4, adjusting parameters and inversely correcting a predicted value by combining the field surrounding environment, geological conditions, construction schemes and working condition working conditions, so that a prediction model is adjusted; and combining the adjusted prediction model and the actual measurement model in the BIM real scene.
S41, adjusting corresponding parameters of a soft soil layer of the foundation pit by combining the field surrounding environment, geological conditions, a construction scheme and working condition working conditions, wherein the adjusted parameters mainly comprise the elastic modulus E, cohesive force c, an internal friction angle phi and a Poisson ratio r of the soil layer; a representative combination of soil parameters can be produced based on orthogonal designs.
S42, a foundation pit soil parameter displacement inverse analysis method of a regression algorithm can be adopted, displacement of a research point is obtained through finite element calculation and is used as a training sample, actual measurement vector data obtained in S3 is used as a target value calculated in the prediction model, and the reference parameters in the prediction model are obtained through inversion.
S43, optimizing the parameter to be participated in by using a particle swarm PSO algorithm to obtain an optimal parameter, and substituting the optimal parameter into a prediction model to calculate a stress-strain prediction value of foundation pit construction.
And finally, updating the three-dimensional prediction model by using the optimal parameters, comparing the three-dimensional prediction model with the actual measurement model in the display unit and the foundation pit construction site scene, the ground surface surrounding environment and the underground geological conditions in the large-scene BIM model for cooperation, and guiding construction.
According to another embodiment of the invention, a foundation pit construction risk assessment system based on a digital twin simulation platform is further provided, and comprises the following unit modules:
the real scene construction unit is used for establishing a BIM real scene model according to the scene of the foundation pit construction site, the surrounding environment of the earth surface and the underground geological condition;
the prediction unit is constructed with a foundation pit construction full-life-cycle three-dimensional prediction model and used for three-dimensionally predicting the vector changes of stress and strain of the foundation pit under the key working condition;
the actual measurement unit is used for carrying out space coordinate processing according to the ready-made implementation monitoring data of the foundation pit construction and establishing an actual measurement model of the foundation pit construction;
the parameter adjusting module is used for combining the prediction model and the actual measurement model into the BIM real scene model, comparing the prediction model and the actual measurement model and adjusting the parameters of the prediction model;
and the display unit is used for combining the adjusted prediction model and the adjusted actual measurement model into the BIM real scene model and displaying in a digital twinning mode.
In summary, the invention establishes a digital three-dimensional model based on measured values and predicted values in the foundation pit construction process through a virtual reality technology, performs digital twin simulation analysis on the foundation pit construction, establishes a mapping relation of virtual-real blending and intelligent control, and enables information to be truly visible, tracks to be circulated in real time and states to be checked at any time through real-time and accurate reaction and comparison cooperation of the whole life cycle of the foundation pit construction, thereby being capable of guiding the construction more effectively.
The above description is only exemplary of the present invention, and is not intended to limit the present invention, and any modifications, equivalents, improvements, etc. made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (7)
1. A foundation pit construction risk assessment method based on a digital twin simulation platform is characterized by comprising the following steps:
step 1, building a BIM live-action model according to a foundation pit construction site scene, a ground surface surrounding environment and an underground geological condition;
step 2, collecting physical and mechanical parameters and construction procedures of a stratum where the foundation pit is located, carrying out finite element simulation, and establishing a corresponding foundation pit construction full-life-cycle three-dimensional prediction model;
step 3, collecting implementation monitoring data of a foundation pit construction site, carrying out spatial coordination processing, and establishing an actual measurement model of foundation pit construction;
step 4, comparing the prediction model established in the step 2 with the actual measurement model established in the step 3 in the BIM live-action model established in the step 1, adjusting corresponding parameters by adopting an AI algorithm in combination with the field surrounding environment, geological conditions, construction scheme and engineering general profile, and carrying out inversion correction on the predicted value so as to achieve error optimization with the actual measurement result, thereby adjusting the prediction model and calculating the predicted value of the next construction;
and 5, combining the adjusted prediction model and the actual measurement model in a BIM real scene, realizing coupling and display of the past, present and future of the foundation pit engineering in a digital twin mode by using a virtual-real blending mapping relation of a physical space and a virtual space, and continuously carrying out comparison and cooperation according to needs so as to provide auxiliary support for foundation pit construction risk control and optimized construction.
2. The method for evaluating the foundation pit construction risk based on the digital twin simulation platform as claimed in claim 1, wherein in the step 2, according to engineering practice, in combination with geological survey report data, a physical mechanical model and modeling parameter are selected, and a numerical simulation means is adopted to perform finite element simulation, so as to establish a three-dimensional prediction model of the whole life cycle of the foundation pit construction, and specifically comprises: based on rock-soil characteristics, corresponding constitutive models are adopted for rock-soil mass units, and model parameters are input; adopting an elastic constitutive model for the support of the foundation pit and the continuous wall structure unit, and inputting parameters; and acquiring construction process and structure size data according to a foundation pit design drawing and a construction drawing, and performing finite element simulation calculation to obtain a three-dimensional prediction model reflecting vector changes of the researched parameters of the whole life cycle of the foundation pit under the key working condition.
3. The foundation pit construction risk assessment method based on the digital twin simulation platform as claimed in claim 1, wherein the step 3 specifically comprises: and collecting real-time monitoring data of an embedded sensor in a foundation pit construction site, carrying out spatial coordination processing, and drawing a vector cloud picture of stress and deformation of the foundation pit on the unstructured triangular grid, thereby establishing an actual measurement model for foundation pit construction.
4. The foundation pit construction risk assessment method based on the digital twin simulation platform as claimed in claim 1, wherein in the step 4, the BIM models of different sources and different formats in the steps 1 and 3 are converted into general FBX and OBJ formats, or are directly derived through a Datasmith plug-in; the processing model enriches and increases the details of the model, processes the texture illumination UV, uses the PBR process to make the scene performance more accord with the physical rules, and the illumination calculation more accord with the reality, restores the scene of the foundation pit construction site, the surrounding environment of the earth surface and the underground geologic body according to the real scene, establishes a twin scene, and builds the immersive experience by using the illusion engine to render and present the high fidelity effect; and (3) converting the prediction model in the step (2) into an input file of a virtual engine through a file, and integrating the prediction model analyzed in advance into the BIM scene.
5. The foundation pit construction risk assessment method based on the digital twin simulation platform as claimed in claim 1, wherein in the step 4, the adjusted parameters are specifically: the parameter information common to different constitutive models comprises an elastic modulus E, a cohesive force c, an internal friction angle phi and a Poisson ratio r.
6. The foundation pit construction risk assessment method based on the digital twin simulation platform as claimed in claim 1, wherein in step 4, the on-site surrounding environment, geological conditions, construction scheme and engineering profile are combined to perform inverse analysis to correct the prediction model and parameter values, the simulation value result is subjected to inverse analysis to achieve error optimization with the actual measurement result, an optimal parameter inversion method is determined, and a parameter inversion program script is provided for the system to be applied to subsequent prediction analysis of the same kind of items.
7. A foundation pit construction risk assessment system based on a digital twin simulation platform is characterized by comprising:
the real scene construction unit is used for establishing a BIM real scene model according to the scene of the foundation pit construction site, the surrounding environment of the earth surface and the underground geological condition;
the prediction unit is constructed with a foundation pit construction full-life-cycle three-dimensional prediction model and used for three-dimensionally predicting the vector changes of stress and strain of the foundation pit under the key working condition;
the actual measurement unit is used for carrying out space coordinate processing according to the ready-made implementation monitoring data of the foundation pit construction and establishing an actual measurement model of the foundation pit construction;
the parameter adjusting module is used for combining the prediction model and the actual measurement model into the BIM live-action model, comparing, adjusting the parameters of the prediction model by adopting an AI algorithm, and calculating the predicted value of the next construction;
and the display unit is used for combining the adjusted prediction model and the adjusted actual measurement model into the BIM real scene model and displaying the model in a digital twinning mode.
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