CN117951778A - BIM-FEM automation framework-based intelligent tunnel parametric modeling and simulation method and system - Google Patents
BIM-FEM automation framework-based intelligent tunnel parametric modeling and simulation method and system Download PDFInfo
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Abstract
The invention discloses an intelligent tunnel parametric modeling and simulation method and system based on a BIM-FEM automation framework, wherein the method comprises the steps of establishing a shield tunnel construction refined BIM model according to in-situ particle cloud data and a drawing; importing a shield tunnel construction refined BIM model into a BIM-FEM automatic integration frame, and carrying out data transmission, refined grid division and inspection optimization to obtain an FEM proximity engineering grid model meeting the ABAQUS analysis requirement; importing the proximity engineering grid model into ABAQUS finite element analysis software, simulating and analyzing a deformation mode of an existing tunnel in the process of newly-built tunnel excavation, and generating an FEM proximity engineering numerical model; performing numerical simulation on the influence of new tunnel excavation on the existing tunnel through an FEM automatic pretreatment flow; the invention improves the efficiency and the automation level of the ABAQUS numerical simulation of tunnel excavation, can meet the calculation requirements of large-scale and fine underground engineering, and can enhance the safety simulation and control of complex underground engineering.
Description
Technical Field
The invention belongs to the technical field of building construction, and particularly relates to an intelligent tunnel parametric modeling and simulation method and system based on a BIM-FEM automation framework.
Background
As subway line demands increase, new tunnels will inevitably be built above or below existing tunnels. The problem of uneven settlement of the existing tunnel is easily caused by the excavation of the newly-built tunnel, and the operation safety of the existing tunnel is seriously influenced. The numerical simulation can accurately simulate the deformation of the soil body and the tunnel structure, and accurate sedimentation analysis results can be obtained by accurately modeling the mechanical properties of the soil body and the structure. However, due to the complex variability of construction environments, the information data formats generated in the exploration, design and construction processes of the existing tunnel engineering of shield tunneling are different. The traditional BIM-finite element numerical simulation is difficult to realize complex structure parameterized model establishment and integration of different data formats, meanwhile, partial data loss is often caused in the model conversion process, and the feasibility and accuracy of numerical simulation are affected due to the lack of standards for controlling the model and grid accuracy in the data interaction process. Therefore, development of an intelligent design and numerical simulation framework for shield approach engineering with high efficiency and precision complex conditions is needed.
Although the prior research considers a tunnel structure model and a geological model which are constructed by adopting a BIM technology when carrying out geotechnical engineering numerical simulation and mechanical analysis, the prior research has difficulty in meeting the large-scale and fine underground engineering calculation requirements both in terms of the fineness of the model and the fusion degree of the two models. Meanwhile, the method lacks of effective numerical model updating and finite element calculation meshing means, and the requirements of digital design and dynamic feedback are difficult to meet. These factors affect the efficiency and accuracy of numerical simulation calculations.
Disclosure of Invention
Aiming at the defects or improvement demands of the prior art, the invention provides an intelligent tunnel parametric modeling and simulation method and system based on a BIM-FEM automation framework, which constructs a geological and shield tunnel integrated model based on a BIM technology, further considers the grid requirements of numerical calculation analysis, develops an intelligent design and numerical simulation integrated framework of the shield approach engineering with high efficiency and precision complex conditions, is favorable for accurate interaction between the BIM and the FEM model, simultaneously automatically executes tasks such as material attribute distribution, construction simulation, high-quality grid generation and the like, and improves the efficiency and the automation degree of the numerical simulation of the ABAQUS tunnel excavation and tunneling; the invention expands the numerical calculation function of the BIM model of the tunnel engineering while realizing the data and information conversion from the BIM model of the shield proximity engineering to the finite element calculation model, so that the BIM model of the tunnel engineering can meet the calculation requirements of large-scale and fine underground engineering, and the safety simulation and control of complex underground engineering can be enhanced.
In order to achieve the above object, an aspect of the present invention provides an intelligent tunnel parametric modeling and simulation method based on a BIM-FEM automation framework, which is characterized by comprising the following steps:
s100, establishing a shield tunnel construction refined BIM model according to in-situ particle cloud data and a drawing;
S200, importing the shield tunnel construction refined BIM model into a BIM-FEM automatic integrated framework, and carrying out data transmission, refined grid division and inspection optimization to obtain an FEM proximity engineering grid model meeting the ABAQUS analysis requirements;
S300, importing the FEM proximity engineering grid model into ABAQUS finite element analysis software, simulating and analyzing a deformation mode of an existing tunnel in the process of newly-built tunnel excavation, and generating an FEM proximity engineering numerical model;
s400, in the FEM proximity engineering numerical model, performing numerical simulation on the influence of new tunnel excavation on the existing tunnel through an FEM automatic pretreatment flow, and obtaining a numerical simulation result of the influence of the new tunnel excavation on the existing tunnel;
s500, comparing the numerical simulation result with a field monitoring result, and verifying the reliability of the FEM proximity engineering numerical model.
Further, in step S100, a shield tunnel construction refined BIM model is established according to the in-situ particle cloud data and the drawing, and the method includes the following steps:
s11, collecting in-situ particle cloud data of a shield tunnel and drawing a corresponding CAD drawing;
S12, carrying out secondary development by means of Dynamo plug-ins by adopting a point-surface-body three-dimensional geological model construction method according to the in-situ particle cloud data and drawing a corresponding CAD drawing to obtain a 3D topographic geological model in a near construction area;
s13, through the use of Revit and Dynamo plug-ins, the automatic general TBM shield pipe ring placement process is realized by using Python Script, and the placement deviation along the TBM shield pipe ring is reduced; simultaneously, parameters (such as rotation of the ring) of the shield pipe ring are placed and updated along the line Dynamo, and a shield tunnel parameterized model is built.
Further, in step S200, a BIM-FEM automation integration framework is constructed, the shield tunnel construction refinement BIM model is imported into the BIM-FEM automation integration framework, and data transfer, refinement meshing and inspection optimization are performed, so as to obtain a FEM proximity engineering mesh model meeting ABAQUS analysis requirements, including:
S21, BIM model file data transmission; exporting an accurate 3D topography geological model and a shield tunnel parameterized model from Revit into a sat format, obtaining a sat file, recording geological and tunnel material characteristic parameter data in the txt file, and obtaining a txt parameter record file;
S22, automatic grid generation and inspection optimization; importing HYPERMESH software into the sat file to perform geometric model processing and grid division to generate a hexahedral grid with high detail; defining grid division standards and grid morphology control standards based on geometric features in the criterion and the parameter files respectively to obtain defined criterion and parameter files; and calling the defined criterion and parameter files by writing a tcl script to check the grid quality, so as to realize the whole-process automatic grid generation and check optimization of the BIM-FEM and obtain the FEM proximity engineering network model after inspection and optimization.
Further, in step S300, the FEM proximity engineering grid model is imported into ABAQUS finite element analysis software, and a deformation mode of an existing tunnel in a new tunnel excavation process is simulated and analyzed in the ABAQUS finite element analysis software, so as to generate a FEM proximity engineering numerical model, which includes:
Exporting the FEM proximity engineering network model after inspection and optimization into an inp file;
Importing the inp file into ABAQUS finite element analysis software, extracting entity attributes through associated element names, and automatically generating Python codes for the ABAQUS finite element analysis software by combining with the txt parameter record file to obtain an inp calculation file containing shield tunnel geometric information, material attribute definition and boundary condition definition;
And simulating and analyzing the deformation mode of the existing tunnel in the new tunnel excavation process in ABAQUS finite element analysis software to generate the FEM proximity engineering numerical model.
Further, in step S400, in the FEM proximity engineering numerical model, numerical simulation is performed on the influence of the newly built tunnel excavation on the existing tunnel through the FEM automatic preprocessing flow, so as to obtain a numerical simulation result of the influence of the newly built tunnel excavation on the existing tunnel, including:
S41: an initial stress inp calculation file is modified through an FEM automatic preprocessing flow, initial stress conditions are added in the FEM proximity engineering numerical model, and initial ground stress balance is simulated;
S42: adding elcopy' into the modified initial stress inp calculation file by adopting a unit copying function in an FEM automatic preprocessing flow, so as to realize the creation of segment, shield shell and equivalent layer units and obtain the stress inp calculation file after the unit creation;
S43: defining a tunnel excavation and tunneling step in the stress-inp calculation file after the unit is created, and removing or adding corresponding soil, duct pieces, shield shells, and other generation units to realize rigidity migration, so that the excavation and tunneling simulation of a newly built shield tunnel is completed, and a numerical simulation result of the influence of the newly built tunnel excavation on the existing tunnel is obtained.
Further, in step S41, the initial stress inp calculation file is modified by the FEM automated preprocessing procedure, and an initial stress condition is added to the FEM proximity engineering grid model, so as to simulate initial ground stress balance, including:
S411, encoding an inp calculation file containing shield tunnel geometric information, material attribute definition and boundary definition in the FEM proximity engineering grid model;
s412, simulating the initial state of the geological rock mass by applying material parameters and boundary conditions on the corresponding entity to obtain an initial stress inp calculation file;
S413, modifying an initial stress inp calculation file, and adding initial conditions in the FEM proximity engineering grid model to simulate ground stress balance; the initial stress condition is as follows: initial condition, type=stress, type=initial stress.
Further, in step S43, a tunnel excavation and tunneling step is defined in the stress-inp calculation file after the unit is created, and stiffness migration is achieved by removing or adding corresponding soil body, segment, shield shell, and other generation units, so as to complete the excavation and tunneling simulation of the newly-built shield tunnel, including:
S431: activating a shield machine and filling slurry in the FEM proximity engineering grid model, removing corresponding soil elements through a 'dead unit' technology, and simultaneously, exerting tunnel face thrust on a tunnel face;
S432: activating new elements in front of the shield by disabling elements in the rear of the shield part in step S431, and removing corresponding soil to perform shield propulsion simulation; the support pressure in step S431 is deactivated and a new pressure is activated on the current tunnel face at this step; meanwhile, activating lining and grouting layers of the 1 st ring soft phase and the action of grouting pressure on surrounding soil;
s433: repeating the processes of excavation and shield pushing, and simultaneously activating the lining layer and the grouting layer of the 2 nd ring; the grouting layer of the 1 st ring is converted from a soft phase to a hard phase in the step; at the same time, the grouting pressure activated in step S432 is deactivated, creating a new pressure on the soil surface around the 2 nd ring; thus, numerical simulation of the influence of the new tunnel excavation on the existing tunnel is realized.
The second aspect of the present invention provides an intelligent tunnel parametric modeling and simulation system based on a BIM-FEM automation framework, where the foregoing intelligent tunnel parametric modeling and simulation method based on the BIM-FEM automation framework includes:
The first main module: the method comprises the steps of establishing a shield tunnel construction refined BIM model according to in-situ particle cloud data and a drawing;
And a second main module: the method comprises the steps of importing the shield tunnel construction refined BIM model into a BIM-FEM automatic integrated framework, carrying out data transmission, refined grid division and inspection optimization, and obtaining an FEM proximity engineering grid model meeting the ABAQUS analysis requirement;
And a third main module: the FEM proximity engineering grid model is used for importing the FEM proximity engineering grid model into ABAQUS finite element analysis software, simulating and analyzing a deformation mode of an existing tunnel in the new tunnel excavation process in the ABAQUS finite element analysis software, and generating an FEM proximity engineering numerical model;
Fourth main module: the method is used for carrying out numerical simulation on the influence of the newly built tunnel excavation on the existing tunnel through an FEM automatic pretreatment flow in the FEM proximity engineering grid model, and obtaining a numerical simulation result of the influence of the newly built tunnel excavation on the existing tunnel;
fifth main module: and the numerical simulation result is used for comparing the numerical simulation result with a tunnel vault settlement displacement result monitored on site, and the reliability of the FEM proximity engineering numerical model is verified.
A third aspect of the present invention provides an electronic device comprising:
at least one processor, at least one memory, and a communication interface; wherein,
The processor, the memory and the communication interface are communicated with each other;
the memory stores program instructions executable by the processor that the processor invokes to perform the method described previously.
A fourth aspect of the invention provides a non-transitory computer readable storage medium storing computer instructions that cause a computer to perform the method described previously.
In general, the above technical solutions conceived by the present invention, compared with the prior art, enable the following beneficial effects to be obtained:
(1) According to the shield tunnel parameterized modeling and safety simulation method based on the BIM-FEM automation framework, provided by the invention, secondary development is carried out through Dynamo plug-ins of Revit software, in-situ geological data including borehole geological logging and topography details, tunnel linearity and design parameter information are utilized to realize shield tunnel lining parameterized modeling and segment typesetting design, and a geological and shield tunnel integrated BIM model is established; in a BIM-FEM automation framework, realizing data transmission and fine grid generation meeting the ABAQUS analysis requirements; the grid convergence of the numerical model is enhanced by utilizing HYPERMESH software, an automatic workflow is developed in ABAQUS software, and the efficiency and the automation degree of the numerical simulation of the excavation and tunneling of the ABAQUS tunnel are improved; a Python-based finite element automatic pretreatment flow is developed, and the influence of new tunnel excavation on the existing tunnel is simulated; the method can meet the calculation requirements of large-scale and fine underground engineering, and can enhance the safety simulation and control of complex underground engineering.
(2) According to the intelligent tunnel parametric modeling and simulation method based on the BIM-FEM automation framework, a geological and shield tunnel integrated model is constructed based on the BIM technology, grid requirements of numerical calculation and analysis are further considered, an intelligent design and numerical simulation integrated framework of the shield proximity engineering with high efficiency and accuracy under complex conditions is developed, and data and information conversion from the shield proximity engineering BIM model to the calculation model is realized; by constructing calculation files of the shield tunnel proximity engineering finite element model of automatic analysis, a large amount of redundant manual operation is omitted, the numerical calculation function of the BIM model of the tunnel engineering is expanded, and the risk early warning and safety control of the shield tunneling existing tunnel can be realized; the invention establishes complete and scientific shield proximity construction risk early warning and safety control, provides applicable basis for settlement early warning research of similar projects, establishes complete and scientific shield proximity construction risk early warning and safety control, and provides applicable basis for settlement early warning research of similar projects.
(3) The method for parameterizing modeling and safety simulation of the shield tunnel based on the BIM-FEM automation framework provided by the invention considers that the traditional BIM-finite element numerical simulation method is difficult to realize parameterized model establishment of a complex structure and integration of different data formats, and meanwhile, the problem of partial data loss often exists in the model conversion process; an intelligent design and numerical simulation integration framework of the shield approach engineering with high efficiency and precision complex conditions is developed; at HYPERMESH, the software performs secondary development based on the Tcl script programming language, integrates and develops steps of automatic meshing, checking of meshes, re-meshing, and the like. And (5) realizing grid inspection and optimization and ensuring that the grid division quality reaches an ABAQUS analysis standard. And by combining the ABAQUS software with the Python language, automatic analysis workflow of material parameter assignment, boundary condition definition, tunnel excavation and tunneling and the like is developed, and the efficiency and the automation degree of the numerical simulation of the ABAQUS tunnel excavation and tunneling are improved.
(4) The invention provides a shield tunnel parameterization modeling and safety simulation method based on a BIM-FEM automation frame, which provides an intelligent design and numerical simulation frame of shield approaching engineering under high-efficiency and accurate complex conditions, and performs fine grid division while ensuring model accuracy so as to improve the numerical simulation accuracy and efficiency of shield approaching construction; comparing the numerical simulation result of the proposed framework with the settlement monitoring result of the newly-built tunnel monitored on site, and proving the reliability of the proposed BIM-FEM framework; and in combination with the rule of influence of close-range construction on the existing tunnel, targeted protection measures are provided, and risk early warning and safety control are realized.
Drawings
FIG. 1 is a flow chart of an intelligent tunnel parametric modeling and simulation method based on a BIM-FEM automation framework in an embodiment of the invention;
FIG. 2 is a schematic diagram of construction of a shield tunnel construction refinement BIM model based on an intelligent tunnel parametric modeling and simulation method of a BIM-FEM automation framework in an embodiment of the invention;
FIG. 3 is a schematic diagram of the construction of a 3D terrain geological model in a proximity construction area of an intelligent tunnel parametric modeling and simulation method based on a BIM-FEM automation framework in an embodiment of the invention;
FIG. 4 is a schematic diagram of construction of a parameterized model of a shield tunnel based on a BIM-FEM automation framework of the present invention;
FIG. 5 is a schematic flow chart of a BIM-FEM automation frame in an intelligent tunnel parametric modeling and simulation method based on the BIM-FEM automation frame according to an embodiment of the present invention;
Fig. 6 is a schematic flow diagram of performing numerical simulation on the vault settlement effect of a newly-built tunnel excavation on an existing tunnel through an FEM automatic pretreatment flow in the intelligent tunnel parametric modeling and simulation method based on a BIM-FEM automatic framework provided by the embodiment of the present invention;
FIG. 7 is a schematic diagram of FEM automatic preprocessing flow in the intelligent tunnel parametric modeling and simulation method based on BIM-FEM automatic framework provided by the embodiment of the invention;
FIG. 8 is a schematic diagram of comparing a field monitoring result with a numerical simulation result at S1 in an intelligent tunnel parametric modeling and simulation method based on a BIM-FEM automation framework according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of comparing a field monitoring result with a numerical simulation result at S2 in an intelligent tunnel parametric modeling and simulation method based on a BIM-FEM automation framework according to an embodiment of the present invention;
FIG. 10 is a schematic diagram of an intelligent tunnel parametric modeling and simulation system based on a BIM-FEM automation framework provided by an embodiment of the present invention;
Fig. 11 is a schematic diagram of an entity structure of an electronic device according to an embodiment of the present invention.
In the invention, the following components are added:
BIM, building Information Modeling, representing a building information model;
FEM, finite Element Method, which represents the finite element Method;
TBM, tunnel Boring Machine, represents a tunnel boring machine.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
The traditional BIM-finite element numerical simulation method is difficult to realize the establishment of a parameterized model with a complex structure and the integration of different data formats, and meanwhile, the problem of partial data loss often exists in the process of model conversion. The lack of standards for controlling the model and grid precision in the data interaction process affects the feasibility and accuracy of numerical simulation; for the above reasons, as shown in fig. 1 and 7, an aspect of the present invention provides an intelligent tunnel parametric modeling and simulation method based on a BIM-FEM automation framework, including the following steps:
s100, establishing a shield tunnel construction refined BIM model according to in-situ particle cloud data and a drawing;
S200, importing the shield tunnel construction refined BIM model into a BIM-FEM automatic integrated framework, and carrying out data transmission, refined grid division and inspection optimization to obtain an FEM proximity engineering grid model meeting the ABAQUS analysis requirements;
S300, importing the FEM proximity engineering grid model into ABAQUS finite element analysis software, simulating in the ABAQUS finite element analysis software, analyzing the deformation mode of the existing tunnel in the new tunnel excavation process, and generating an FEM proximity engineering numerical model;
S400, in the FEM proximity engineering numerical model, performing numerical simulation on the vault settlement influence of the newly built tunnel excavation on the existing tunnel through an FEM automatic pretreatment flow, and obtaining a numerical simulation result of the influence of the newly built tunnel excavation on the existing tunnel;
s500, comparing the numerical simulation result with a field monitoring result, and verifying the reliability of the FEM proximity engineering numerical model.
Further, in step S100, the in-situ particle cloud data of the shield tunnel includes borehole geological logging data and topography detail data; the shield tunnel construction refined BIM model integrates a 3D terrain geological model and a shield tunnel parameterization model in the proximity construction area.
Further, numerical simulation of shield tunneling requires processing of complex geological environments, and thus requires the establishment of accurate three-dimensional geologic models according to actual geological conditions in the field. Due to uncertainty of rock variation, complex relative positions and irregularity of geological surfaces, the difficulty of modeling of the three-dimensional geological model is increased; in the past, the construction of the shield tunnel and the geological model is independently and separately carried out, so that the method is not only separated from the actual engineering, but also has the risk that data information is easy to lose due to frequent model transmission, and the modeling efficiency and accuracy are affected. The BIM has the advantages that the three-dimensional model is visualized, the collaborative parameterization design is realized, and the efficiency is very high in the aspect of complex structure modeling; in order to efficiently and accurately establish tunnel proximity engineering models of complex geological conditions and structures, so that finite element software can more accurately perform simulation calculation, an Autodesk Revit software platform is applied, a series of node package programs of the tunnel proximity parametric modeling are developed based on Dynamo visual programming technology, and tunnel lining and geological BIM models are efficiently established to avoid a large amount of manual intervention;
Revit is a piece of general-purpose software in the field of Building Information Model (BIM) design, providing powerful parametric modeling functions that enable users to define custom component geometry and semantic properties as desired. The traditional modeling method can only create a stratum curved surface, cannot perform other operations, and is unfavorable for subsequent solid modeling; in order to improve modeling efficiency and accuracy, an operable geological geometric solid model is generated so as to meet the requirement of later digital simulation, and the parametric establishment of the geological model is carried out through Dynamo. Dynamo is an add-on component for Revit that provides a visual programming tool for a designer to use in making a computing design.
For the above reasons, as shown in fig. 2, in step S100, the method for creating a fine BIM model for shield tunnel construction according to in-situ particle cloud data and a drawing includes the following steps:
s11, collecting in-situ particle cloud data of a shield tunnel and drawing a corresponding CAD drawing;
S12, carrying out secondary development by means of Dynamo plug-ins by adopting a point-surface-body three-dimensional geological model construction method according to the in-situ particle cloud data and drawing a corresponding CAD drawing to obtain a 3D topographic geological model in a near construction area;
S13, through the use of Revit and Dynamo plug-ins, the automatic general TBM shield pipe ring placement process is realized by using Python Script, and the placement deviation along the TBM shield pipe ring is reduced; simultaneously using Dynamo to place and update parameters (such as rotation of the ring) of the shield pipe along the line to establish a shield tunnel parameterized model;
Further, as shown in fig. 3, in step S12, according to the in-situ particle cloud data and the corresponding CAD drawing, a method for constructing a three-dimensional geologic model is adopted, and by means of Dynamo plug-ins, secondary development is performed to obtain a 3D topographic geologic model in the proximity construction area, including:
S121: reading the survey report and generating a formation surface model using Dynamo; importing Dynamo geological report data by using a data.Import Excel node, selecting needed geological data by using a List.Destruct node, importing stratum curved surface data in a prefabricated Excel table into Dynamo, dividing data under a coordinate X, Y, Z list into 3 list classifications by a Code Block node definition, generating a curved surface by using a point.ByCoordinates node through a coordinate generation point, and generating a curved surface by using a Topography.ByPoints node through a point; in order to convert an inoperable formation surface (Topography) into an operable multi-surface (Polysurface), the invention autonomously develops a topograph, polysurface node for implementing a "surface conversion" function; firstly, using nodes Topograph.Bypoints to connect discrete point sets in a space into a stratum curved Surface in a contour line mode, converting the curved Surface into a plurality of irregular triangular grids (Mesh), establishing a Surface for each triangular grid, integrating each Surface, and finally converting the grid into a plurality of operable curved surfaces (Polysurface) to obtain a stratum Surface model;
S122: cutting the stratum surface model by using a terrain boundary to form a geological geometry entity, so as to obtain a geological model; taking the whole researching geological entity as a square block, and cutting the geological entity square block by utilizing the plurality of operable curved surfaces constructed in the step S121 to obtain a plurality of geological geometric entities; dynamo related functional nodes solid.ByLoft can conveniently realize the functions and acquire a closed curve required by generating a geological geometry entity. In order to realize information intercommunication of geotechnical engineering models, a Springs.family instance.ByGeome node is developed to endow a geological structure layer of a geological geometry entity with names and materials, and a foundation is provided for realizing automatic interaction of physical and mechanical parameters of stratum and numerical simulation data.
S123: excavating and cutting of a geological model of a near construction area; in order to analyze the influence of new tunnel construction in the proximity construction area on the existing tunnel more accurately and efficiently, the geological model of the proximity construction influence area needs to be cut. Thus, the geological model can be limited in a specific influence area, so that the calculation amount is reduced and the calculation efficiency is improved. Therefore, after the formation surface is created and the geological geometry entity is generated, in Dynamo, a geometry, split, geometry nodes are created by adopting Python Script programming, so that the function of automatically, quickly and accurately shearing the geometrical geological geometry entity is realized; the finally obtained 3D terrain geological model in the near construction area comprises an element filling layer, powdery clay, a clay layer, a clay clamp crushed stone layer and a stroke dolomitic rock layer from top to bottom;
Through the arrangement of the dynamo nodes, in the actual modeling process, three-dimensional modeling of the geologic body can be realized by only importing the sorted drilling data into dynamo and setting a proper modeling data range and clicking an operation button, and each stratum layer is not required to be constructed respectively. The built model has better expression on complex stratum, does not need to perform man-machine interaction cutting and splicing treatment on the model, and improves the modeling efficiency of the three-dimensional geological model;
Further, the TBM tunnel is composed of prefabricated reinforced concrete segments, the segment assembly concrete segments form a ring, and the continuously laid ring is carried out according to the trend of the line; when the segments are assembled, according to different tunnel lines, the straight line segments adopt standard ring segments, and the curve segments adopt wedge segments for turning and correcting the tunnel; the wedge angle of the wedge-shaped ring is determined by the width and the outer diameter of the standard duct piece and the radius of the construction curve; determining the position of the shield segment ring in the design stage, and influencing the analysis result of the numerical simulation of the subsequent shield approach engineering, how to automate the segment typesetting task is still to be solved; as shown in fig. 4, in step S13 of the present invention, through the use of the Revit and Dynamo plug-ins, the placement process of the universal TBM shield pipe ring is automated by Python Script, so as to reduce the placement deviation of the TBM shield pipe ring along the line; simultaneously using Dynamo to place and update parameters of the shield pipe ring (such as rotation of the ring) along the line to obtain a shield tunnel parameterized model, comprising:
s131: a segment ring is configured; the segment is regarded as a solid body formed by closing front and rear fan-shaped surfaces, and each fan-shaped surface can be formed by closing two inner and outer circular arcs. Indirectly generating the self-adaptive component by creating self-adaptive points according to the creation rule of the self-adaptive component; each arc needs 3 points to be determined, and 4 arcs are totally formed, so that 4 arc lines, an arc surface and an adaptive duct piece entity can be sequentially generated by adopting 12 adaptive points to generate an adaptive duct piece; finally, generating a self-adaptive segment family with detailed parameter attributes, and realizing the establishment of a parameterized segment model by modifying the geometric parameters of the related segments;
S132: determining the position coordinates of the self-adaptive duct piece; according to the radius and thickness of the actual duct piece ring, the central angle degree of each duct piece and the arrangement sequence of the duct pieces in the duct ring, the segmentation of the circular ring is realized, and the placement point of the self-adaptive duct piece is determined; in the step, factors such as a staggered joint mode of the duct pieces, the number of central angles corresponding to each duct piece, the assembling sequence of the duct rings and the like are comprehensively considered; segment_cut nodes are developed through Python Script programming to realize segment segmentation; dividing the circular rings in turn according to the number of the central angles, generating coordinates of corresponding points, and outputting the coordinates in a list form; the coordinate list finally generated is the position corresponding to the self-adaptive point of the self-adaptive component;
S133: arranging a pipe ring along the central line of the tunnel to form a shield tunnel; firstly, writing a Python Script node to read LandXML files, and generating a NURBS curve as a tunnel central line by drawing a curve fitting clothoid curve by using a mathematical equation; by dividing the tunnel center line into equally spaced line segments according to the pipe ring width, positioning points of each pipe ring are placed on the tunnel center line in a uniformly distributed manner by using Curve.PointsATChordLengthFromPoint nodes in Dynamo; the positioning points of the pipe rings are generally output in a list form, so that four rings are divided to form four lists respectively; connecting the four lists according to a corresponding relation by using List.combine nodes, thereby generating a group of point sequences; then, using AatriveComponent. Bypoints nodes to assemble the generated point sequence with the self-adaptive duct piece, realizing self-adaptive construction, and automatically generating a duct piece ring; according to the same sequence, the connection mode of the sequence is changed, so that Dynamo can automatically arrange all pipe rings along the central line of the tunnel, and a final parameterized model of the shield tunnel is generated;
Further, as shown in fig. 5, in step S200, the method for importing the shield tunnel construction refined BIM model into a BIM-FEM automation integration frame, performing data transfer, refined meshing and inspection optimization, and obtaining a FEM proximity engineering mesh model meeting ABAQUS analysis requirements includes:
S21, BIM model file data transmission; exporting an accurate 3D topography geological model and a shield tunnel parameterized model from Revit into a sat format, obtaining a sat file, recording geological and tunnel material characteristic parameter data in the txt file, and obtaining a txt parameter record file;
S22, automatic grid generation and inspection optimization; importing HYPERMESH software into the sat file to perform geometric model processing and grid division to generate a hexahedral grid with high detail; defining grid division standards and grid morphology control standards based on geometric features in the criterion and the parameter files respectively to obtain defined criterion and parameter files; the defined criterion and param files are called through writing a tcl script, the grid quality is checked, the whole process of BIM-FEM automatic grid generation and check optimization are realized, and the FEM proximity engineering network model after inspection and optimization is obtained;
And calling the defined criterion and param files by writing the tcl script, and checking the grid quality by writing the tcl script, wherein the method comprises the following steps of:
the defined criterion and parameter files are called through writing a tcl script, if the grid quality is judged to meet the requirement, a unit array function is obtained, if the grid quality is not met, an area needing to be divided again is selected, and the step S22 is repeated;
further, as shown in fig. 5, in step S300, the FEM proximity engineering grid model is imported into ABAQUS finite element analysis software, and a deformation mode of an existing tunnel in a new tunnel excavation process is simulated and analyzed in the ABAQUS finite element analysis software, so as to generate a FEM proximity engineering numerical model, which includes:
Exporting the FEM proximity engineering network model after inspection and optimization into an inp file;
Importing the inp file into ABAQUS finite element analysis software, extracting entity attributes through associated element names, and automatically generating Python codes for the ABAQUS finite element analysis software by combining with the txt parameter record file to obtain an inp calculation file containing shield tunnel geometric information, material attribute definition and boundary condition definition, wherein the inp calculation file is used for simulating and executing the mining process; the material property definition includes: defining names of n materials according to the unit array function; designating cross sections for corresponding geometric sequences and defining materials to obtain a face array function; defining boundary conditions, namely defining boundary conditions of displacement constraint according to the face array function, and further defining loads;
And simulating and analyzing the deformation mode of the existing tunnel in the new tunnel excavation process in ABAQUS finite element analysis software to generate the FEM proximity engineering numerical model.
The shield tunnel proximity engineering BIM model integration is realized through automatic conversion, and complex geometric feature reconstruction is not carried out in ABAQUS software.
Further, in order to study the influence of new tunnel excavation on nearby existing tunnels, a shield three-dimensional finite element model is built, and the excavation process is simulated by means of deleting units in the calculation process. From the aspect of the shield excavation, the construction process of simulating the tunnel loop by loop in the model is more real. And simulating the excavation and the tunneling of the shield tunnel by adopting the unit life-death function and the rigidity migration. The soil body is excavated by a 'dead unit' technology, and the ring excavation and tunneling of the shield tunnel are realized by rigidity migration.
Further, as shown in fig. 6, in step S400, in the FEM proximity engineering numerical model, a numerical simulation is performed on an effect of new tunnel excavation on an existing tunnel through a FEM automated preprocessing procedure, so as to obtain a numerical simulation result of the effect of new tunnel excavation on the existing tunnel, including:
S41: an initial stress inp calculation file is modified through an FEM automatic preprocessing flow, initial stress conditions are added in the FEM proximity engineering numerical model, and initial ground stress balance is simulated; if the initial ground stress balance is judged, the next step is carried out; otherwise, extracting an initial ground stress field, and then carrying out the next step;
S42: adding elcopy' into the modified initial stress inp calculation file by adopting a unit copying function in an FEM automatic preprocessing flow, so as to realize the creation of segment, shield shell and equivalent layer units and obtain the stress inp calculation file after the unit creation;
S43: defining a tunnel excavation and tunneling step in the stress-inp calculation file after the unit is created, and removing or adding corresponding soil, duct pieces, shield shells, and other generation units to realize rigidity migration, so that the excavation and tunneling simulation of a newly built shield tunnel is completed, and a numerical simulation result of the influence of the newly built tunnel excavation on the existing tunnel is obtained.
Further, in step S41, the initial stress inp calculation file is modified by the FEM automated preprocessing procedure, and an initial stress condition is added to the FEM proximity engineering grid model, so as to simulate initial ground stress balance, including:
S411, encoding an inp calculation file containing shield tunnel geometric information, material attribute definition and boundary definition in the FEM proximity engineering grid model;
s412, simulating the initial state of the geological rock mass by applying material parameters and boundary conditions on the corresponding entity to obtain an initial stress inp calculation file;
S413, modifying an initial stress inp calculation file, and adding initial conditions in the FEM proximity engineering grid model to simulate ground stress balance; the initial stress condition is as follows: initial condition, type=stress, type=initial stress;
Further, in step S43, a tunnel excavation and tunneling step is defined in the stress-inp calculation file after the unit is created, and stiffness migration is achieved by removing or adding corresponding soil body, segment, shield shell, and other generation units, so as to complete the excavation and tunneling simulation of the newly-built shield tunnel, including:
s431: activating a shield machine and filling slurry in the FEM proximity engineering grid model, removing corresponding soil elements through a 'dead unit' technology, and simultaneously, enabling a tunnel face thrust (563 KPa) to act on a tunnel face;
S432: activating new elements in front of the shield by disabling elements in the rear of the shield part in step S431, and removing corresponding soil to perform shield propulsion simulation; the support pressure in step S431 is deactivated and a new pressure is activated on the current tunnel face at this step; meanwhile, activating lining and grouting layers of the 1 st ring soft phase and the action of grouting pressure (200 KPa) on surrounding soil;
S433: repeating the processes of excavation and shield pushing, and simultaneously activating the lining layer and the grouting layer of the 2 nd ring; the grouting layer of the 1 st ring is converted from a soft phase to a hard phase in the step; at the same time, the grouting pressure activated in step S432 is deactivated, creating a new pressure on the soil surface around the 2 nd ring; the numerical simulation of the influence of the new tunnel excavation on the existing tunnel is realized, the safety evaluation is further carried out on the new tunnel excavation, and the scheme design and the deformation prediction of the existing tunnel are determined according to the evaluation result.
Further, in step S500, comparing the numerical simulation result with the on-site monitoring result, and verifying the accuracy and reliability of the FEM proximity engineering numerical model simulation result, including:
Respectively selecting surrounding soil and settlement displacement of the existing tunnel under four working conditions of before the newly built tunnel passes through the right existing tunnel, under the left existing tunnel and after the left existing tunnel is passed through for analysis;
Due to uncertainty of numerical simulation model assumption and input parameters, and complicated geological environment around the tunnel, a certain deviation may exist in simulation results. In order to verify the accuracy and reliability of the numerical simulation, the tunnel vault settlement displacement result obtained by the numerical simulation is compared with the on-site monitoring result. For convenience of description, two observation points S1 and S2 are defined to record the settlement situation, which are located at the top of two existing tunnels, just above the newly built right tunnel; after analysis of the acquired data, a time-sedimentation curve at the measurement point can be obtained, corresponding to the observation points S1 and S2, and pairs of field data and numerical simulation results such as fig. 8 and 9.
As can be seen from fig. 8, the monitored tunnel settlement value increases continuously as the shield construction proceeds. The final sedimentation monitored by S1 and S2 was 2.17mm and 2.85mm, respectively. In addition, the monitoring results have certain fluctuation in certain parts, because at about four points in the morning on day 1 and 23, in order to strengthen and protect the underground structures, damage and settlement caused by construction are avoided, and related personnel perform supplementary grouting. In the shield construction process, the soil body can be settled due to excavation and support. While nearby or traversing subterranean structures are often very sensitive to sedimentation, which may cause damage or deformation thereof. By supplementing grouting, a solidified grouting body can be formed in the construction process, the sedimentation of soil around the underground structure is slowed down or controlled, the bearing capacity and stability of the underground structure are improved, and the influence on the underground structure is reduced. Thus, the sedimentation curves at both S1 and S2 show abrupt upward changes. The results of numerical simulation and field monitoring have similar variation trend, the result is well matched, and the feasibility and reliability of the numerical model established based on the BIM-FEM automation framework are verified to a great extent.
From the above description of embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of computing software. Based on the understanding, the technical scheme can be essentially or partially contributing to the prior art in the form of a calculation result, and the shield proximity construction risk early warning and safety control can be realized by utilizing a model established by the BIM-FEM framework; for the above reasons, as shown in fig. 10, according to a second aspect of the present invention, there is further provided an intelligent tunnel parametric modeling and simulation system based on a BIM-FEM automation framework, for implementing the above method, including:
The first main module: the method comprises the steps of establishing a shield tunnel construction refined BIM model according to in-situ particle cloud data and a drawing;
And a second main module: the method comprises the steps of importing the shield tunnel construction refined BIM model into a BIM-FEM automatic integrated framework, carrying out data transmission, refined grid division and inspection optimization, and obtaining an FEM proximity engineering grid model meeting the ABAQUS analysis requirement;
And a third main module: the FEM proximity engineering grid model is used for importing the FEM proximity engineering grid model into ABAQUS finite element analysis software, simulating and analyzing a deformation mode of an existing tunnel in the new tunnel excavation process in the ABAQUS finite element analysis software, and generating an FEM proximity engineering numerical model;
Fourth main module: the method is used for carrying out numerical simulation on the influence of the newly built tunnel excavation on the existing tunnel through an FEM automatic pretreatment flow in the FEM proximity engineering grid model, and obtaining a numerical simulation result of the influence of the newly built tunnel excavation on the existing tunnel;
fifth main module: and the numerical simulation result is used for comparing the numerical simulation result with a tunnel vault settlement displacement result monitored on site, and the reliability of the FEM proximity engineering numerical model is verified.
According to the intelligent tunnel parametric modeling and simulation method and system based on the BIM-FEM automation framework, the geological and shield tunnel integrated model is constructed based on the BIM technology, the grid requirements of numerical calculation and analysis are further considered, an intelligent design and numerical simulation integrated framework of the shield proximity engineering with high efficiency and accuracy under complex conditions is developed, and data and information conversion from the shield proximity engineering BIM model to the finite element calculation model is realized; by constructing calculation files of the shield tunnel proximity engineering finite element model of automatic analysis, a large amount of redundant manual operation is omitted, the numerical calculation function of the BIM model of the tunnel engineering is expanded, and the risk early warning and safety control of the shield tunneling existing tunnel can be realized; the invention establishes complete and scientific shield proximity construction risk early warning and safety control and provides applicable basis for settlement early warning research of similar engineering.
As shown in fig. 11, the method according to the embodiment of the present invention is implemented by an electronic device, and according to a third aspect of the present invention, there is further provided an electronic device, which is characterized by including: at least one processor, at least one memory, and a communication interface; the processor, the memory and the communication interface are communicated with each other; the memory stores program instructions executable by the processor that the processor invokes to perform the methods described above.
Further, the logic instructions in the memory described above may be implemented in the form of software functional units and stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The system embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. Based on this knowledge, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It will be readily appreciated by those skilled in the art that the foregoing description is merely a preferred embodiment of the invention and is not intended to limit the invention, but any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. The intelligent tunnel parametric modeling and simulation method based on the BIM-FEM automation framework is characterized by comprising the following steps of:
s100, establishing a shield tunnel construction refined BIM model according to in-situ particle cloud data and a drawing;
S200, importing the shield tunnel construction refined BIM model into a BIM-FEM automatic integrated framework, and carrying out data transmission, refined grid division and inspection optimization to obtain an FEM proximity engineering grid model meeting the ABAQUS analysis requirements;
S300, importing the FEM proximity engineering grid model into ABAQUS finite element analysis software, simulating and analyzing a deformation mode of an existing tunnel in the process of newly-built tunnel excavation, and generating an FEM proximity engineering numerical model;
s400, in the FEM proximity engineering numerical model, performing numerical simulation on the influence of new tunnel excavation on the existing tunnel through an FEM automatic pretreatment flow, and obtaining a numerical simulation result of the influence of the new tunnel excavation on the existing tunnel;
s500, comparing the numerical simulation result with a field monitoring result, and verifying the reliability of the FEM proximity engineering numerical model.
2. The method for intelligent modeling and simulation of tunnel parameters based on the BIM-FEM automation framework according to claim 1, wherein in step S100, the method for establishing the shield tunnel construction refined BIM model according to in-situ particle cloud data and drawings comprises the following steps:
s11, collecting in-situ particle cloud data of a shield tunnel and drawing a corresponding CAD drawing;
S12, carrying out secondary development by means of Dynamo plug-ins by adopting a point-surface-body three-dimensional geological model construction method according to the in-situ particle cloud data and drawing a corresponding CAD drawing to obtain a 3D topographic geological model in a near construction area;
s13, through the use of Revit and Dynamo plug-ins, the automatic general TBM shield pipe ring placement process is realized by using Python Script, and the placement deviation along the TBM shield pipe ring is reduced; and simultaneously, setting up a shield tunnel parameterized model by using Dynamo along the line and updating parameters of the shield pipe ring.
3. The method for intelligent tunnel parametric modeling and simulation based on a BIM-FEM automation framework according to claim 1, wherein in step S200, the shield tunnel construction refinement BIM model is imported into a BIM-FEM automation integration framework to perform data transfer, refinement meshing and inspection optimization, and an FEM proximity engineering mesh model meeting ABAQUS analysis requirements is obtained, including:
S21, BIM model file data transmission; exporting an accurate 3D topography geological model and a shield tunnel parameterized model from Revit into a sat format, obtaining a sat file, recording geological and tunnel material characteristic parameter data in the txt file, and obtaining a txt parameter record file;
S22, automatic grid generation and inspection optimization; importing HYPERMESH software into the sat file to perform geometric model processing and grid division to generate a hexahedral grid with high detail; defining grid division standards and grid morphology control standards based on geometric features in the criterion and the parameter files respectively to obtain defined criterion and parameter files; and calling the defined criterion and parameter files by writing a tcl script to check the grid quality, so as to realize the whole-process automatic grid generation and check optimization of the BIM-FEM and obtain the FEM proximity engineering network model after inspection and optimization.
4. The method for intelligent tunnel parametric modeling and simulation based on a BIM-FEM automation framework according to claim 1, wherein in step S300, the FEM proximity engineering grid model is imported into ABAQUS finite element analysis software, and the deformation mode of the existing tunnel in the new tunnel excavation process is simulated and analyzed in the ABAQUS finite element analysis software, so as to generate a FEM proximity engineering numerical model, which includes:
exporting the FEM proximity engineering network model after inspection and optimization into an inp file;
Importing the inp file into ABAQUS finite element analysis software, extracting entity attributes through associated element names, and automatically generating Python codes for the ABAQUS finite element analysis software by combining with the txt parameter record file to obtain an inp calculation file containing shield tunnel geometric information, material attribute definition and boundary condition definition;
And simulating and analyzing the deformation mode of the existing tunnel in the new tunnel excavation process in ABAQUS finite element analysis software to generate the FEM proximity engineering numerical model.
5. The method for intelligent modeling and simulation of tunnel parameters based on a BIM-FEM automation framework according to any one of claims 1 to 4, wherein in step S400, in the FEM proximity engineering numerical model, the effect of new tunnel excavation on the existing tunnel is numerically simulated through FEM automation preprocessing flow, and a numerical simulation result of the effect of new tunnel excavation on the existing tunnel is obtained, which includes:
S41: an initial stress inp calculation file is modified through an FEM automatic preprocessing flow, initial stress conditions are added in the FEM proximity engineering numerical model, and initial ground stress balance is simulated;
S42: adding elcopy' into the modified initial stress inp calculation file by adopting a unit copying function in an FEM automatic preprocessing flow, so as to realize the creation of segment, shield shell and equivalent layer units and obtain the stress inp calculation file after the unit creation;
S43: defining a tunnel excavation and tunneling step in the stress-inp calculation file after the unit is created, and removing or adding corresponding soil, duct pieces, shield shells, and other generation units to realize rigidity migration, so that the excavation and tunneling simulation of a newly built shield tunnel is completed, and a numerical simulation result of the influence of the newly built tunnel excavation on the existing tunnel is obtained.
6. The method for intelligent tunnel parametric modeling and simulation based on a BIM-FEM automation framework according to claim 5, wherein in step S41, the initial stress is modified by the FEM automation preprocessing procedure, the inp calculation file is modified, and the initial stress condition is added in the FEM proximity engineering grid model, and the simulation of initial ground stress balance includes:
S411, encoding an inp calculation file containing shield tunnel geometric information, material attribute definition and boundary definition in the FEM proximity engineering grid model;
s412, simulating the initial state of the geological rock mass by applying material parameters and boundary conditions on the corresponding entity to obtain an initial stress inp calculation file;
S413, modifying an initial stress inp calculation file, and adding initial conditions in the FEM proximity engineering grid model to simulate ground stress balance; the initial stress condition is as follows: initial condition, type=stress, type=initial stress.
7. The method for intelligent tunnel parametric modeling and simulation based on a BIM-FEM automation framework according to claim 5, wherein in step S43, a tunnel excavation and tunneling step is defined in an inp calculation file after the creation of the unit, and the stiffness migration is implemented by removing or adding corresponding soil body, segment, shield shell, etc., so as to complete the excavation and tunneling simulation of the newly built shield tunnel, including:
S431: activating a shield machine and filling slurry in the FEM proximity engineering grid model, removing corresponding soil elements through a 'dead unit' technology, and simultaneously, exerting tunnel face thrust on a tunnel face;
S432: activating new elements in front of the shield by disabling elements in the rear of the shield part in step S431, and removing corresponding soil to perform shield propulsion simulation; the support pressure in step S431 is deactivated and a new pressure is activated on the current tunnel face at this step; meanwhile, activating lining and grouting layers of the 1 st ring soft phase and the action of grouting pressure on surrounding soil;
s433: repeating the processes of excavation and shield pushing, and simultaneously activating the lining layer and the grouting layer of the 2 nd ring; the grouting layer of the 1 st ring is converted from a soft phase to a hard phase in the step; at the same time, the grouting pressure activated in step S432 is deactivated, creating a new pressure on the soil surface around the 2 nd ring; thus, numerical simulation of the influence of the new tunnel excavation on the existing tunnel is realized.
8. An intelligent tunnel parametric modeling and simulation system based on a BIM-FEM automation framework, which is used for realizing the intelligent tunnel parametric modeling and simulation method based on the BIM-FEM automation framework according to any one of claims 1 to 7, and comprises the following steps:
The first main module: the method comprises the steps of establishing a shield tunnel construction refined BIM model according to in-situ particle cloud data and a drawing;
And a second main module: the method comprises the steps of importing the shield tunnel construction refined BIM model into a BIM-FEM automatic integrated framework, carrying out data transmission, refined grid division and inspection optimization, and obtaining an FEM proximity engineering grid model meeting the ABAQUS analysis requirement;
And a third main module: the FEM proximity engineering grid model is used for importing the FEM proximity engineering grid model into ABAQUS finite element analysis software, simulating and analyzing a deformation mode of an existing tunnel in the new tunnel excavation process in the ABAQUS finite element analysis software, and generating an FEM proximity engineering numerical model;
Fourth main module: the method is used for carrying out numerical simulation on the influence of the newly built tunnel excavation on the existing tunnel through an FEM automatic pretreatment flow in the FEM proximity engineering grid model, and obtaining a numerical simulation result of the influence of the newly built tunnel excavation on the existing tunnel;
fifth main module: and the numerical simulation result is used for comparing the numerical simulation result with a tunnel vault settlement displacement result monitored on site, and the reliability of the FEM proximity engineering numerical model is verified.
9. An electronic device, comprising:
at least one processor, at least one memory, and a communication interface; wherein,
The processor, the memory and the communication interface are communicated with each other;
The memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1-7.
10. A non-transitory computer readable storage medium storing computer instructions that cause the computer to perform the method of any one of claims 1 to 7.
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