CN117932277B - Intelligent analysis method and system applied to stability of tunnel surrounding rock in tunnel excavation - Google Patents

Intelligent analysis method and system applied to stability of tunnel surrounding rock in tunnel excavation Download PDF

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CN117932277B
CN117932277B CN202410331557.7A CN202410331557A CN117932277B CN 117932277 B CN117932277 B CN 117932277B CN 202410331557 A CN202410331557 A CN 202410331557A CN 117932277 B CN117932277 B CN 117932277B
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CN117932277A (en
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袁朝阳
荆鲁
张云鹤
狄富杰
张强强
闵森麒
陈俊杰
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Sinohydro Foundation Engineering Co Ltd
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Abstract

The invention relates to the technical field of geotechnical mechanics, and provides an intelligent analysis method and system for stability of surrounding rock of a tunnel in tunnel excavation, wherein the intelligent analysis method comprises the following steps: collecting surrounding rock samples of the tunnel excavation area, carrying out a mechanical experiment on the surrounding rock samples to obtain mechanical experiment parameters, and calculating the surrounding rock elasticity coefficient corresponding to the surrounding rock samples; calculating the intensity of surrounding rock corresponding to the surrounding rock sample, excavating geological feature information in geological monitoring data, analyzing the integrity of the surrounding rock corresponding to the surrounding rock sample, and evaluating the quality of the surrounding rock corresponding to the surrounding rock sample; establishing a geological cloud picture of the tunnel excavation area, and analyzing surrounding rock complexity of the tunnel excavation area; and determining loading conditions of the tunnel excavation area, calculating surrounding rock displacement corresponding to the surrounding rock sample according to the loading conditions and the complexity of the surrounding rock, and analyzing the stability of the surrounding rock in the tunnel excavation area by combining the surrounding rock displacement and the surrounding rock quality. The invention aims to improve the analysis accuracy of the stability of the surrounding rock of the tunnel.

Description

Intelligent analysis method and system applied to stability of tunnel surrounding rock in tunnel excavation
Technical Field
The invention relates to the technical field of geotechnical mechanics, in particular to an intelligent analysis method and system for stability of surrounding rocks of tunnels in tunnel excavation.
Background
The tunnel refers to an underground passage which is manually excavated and is used for connecting two places, and is usually used for crossing mountain, hills, rivers or roads and other terrain obstacles, the tunnel is provided with a narrow and closed structure and is generally constructed for traffic and transportation purposes, such as railways, highways, subways and the like, the tunnel can provide a safe, convenient and efficient traffic mode, time and space limitation caused by bypassing the mountain or the river is avoided, and geological conditions, especially geological surrounding rock stability, are required to be considered for the design and construction of the tunnel.
The existing analysis method of the stability of the surrounding rock of the tunnel mainly adopts a grading evaluation method, classifies the surrounding rock of the tunnel based on physical and mechanical properties and geological conditions of stratum, and evaluates the surrounding rock of the tunnel according to the stability characteristics of different stratum, but the method usually adopts a qualitative or semi-quantitative mode to evaluate the stability of the surrounding rock, and is subject to more subjective factors in the evaluation process, so that the analysis result of the stability of the surrounding rock of the tunnel is inaccurate.
Disclosure of Invention
The invention provides an intelligent analysis method and system for stability of surrounding rocks of a tunnel in tunnel excavation, and the intelligent analysis method and system are mainly used for improving analysis accuracy of the stability of the surrounding rocks of the tunnel.
In order to achieve the above purpose, the invention provides an intelligent analysis method for stability of surrounding rock of a tunnel in tunnel excavation, which comprises the following steps:
Tunnel engineering data of a tunnel excavation area are obtained, the tunnel engineering data comprise geological survey data, geological monitoring data and construction data, surrounding rock samples of the tunnel excavation area are collected, mechanical experiments are carried out on the surrounding rock samples to obtain mechanical experiment parameters, parameter information corresponding to the surrounding rock samples is collected, and surrounding rock elasticity coefficients corresponding to the surrounding rock samples are calculated by combining the mechanical experiment parameters and the parameter information;
Calculating the surrounding rock strength corresponding to the surrounding rock sample according to the surrounding rock elastic coefficient and the mechanical experimental parameter, excavating geological feature information in the geological monitoring data, analyzing the surrounding rock integrity corresponding to the surrounding rock sample according to the geological feature information, and evaluating the surrounding rock quality corresponding to the surrounding rock sample according to the surrounding rock integrity and the surrounding rock strength;
Establishing a geological cloud picture of the tunnel excavation area according to the geological survey data and the surrounding rock quality, and analyzing the surrounding rock complexity of the tunnel excavation area according to the geological cloud picture;
And determining loading conditions of the tunnel excavation area by combining the construction data, calculating surrounding rock displacement corresponding to the surrounding rock sample according to the loading conditions and the complexity of the surrounding rock, and analyzing surrounding rock stability in the tunnel excavation area by combining the surrounding rock displacement and the surrounding rock mass.
Optionally, the calculating, by combining the mechanical experiment parameter and the parameter information, the elasticity coefficient of the surrounding rock corresponding to the surrounding rock sample includes:
extracting a parameter label corresponding to the mechanical experiment parameter, and identifying label information in the parameter label;
According to the label information, extracting stress parameters and strain parameters from the mechanical experiment parameters;
respectively carrying out parameter cleaning on the stress parameter and the strain parameter to obtain a target stress parameter and a target strain parameter;
And calculating the surrounding rock elasticity coefficient corresponding to the surrounding rock sample by combining the target stress parameter, the target strain parameter and the parameter information.
Optionally, the calculating, by combining the target stress parameter, the target strain parameter, and the parameter information, a surrounding rock elastic coefficient corresponding to the surrounding rock sample includes:
calculating the surrounding rock elasticity coefficient corresponding to the surrounding rock sample through the following formula:
wherein A represents the elasticity coefficient of the surrounding rock corresponding to the surrounding rock sample, Representing target stress parameters corresponding to the a-th sample in surrounding rock samples,/>Representing target strain parameters corresponding to the a-th sample in surrounding rock samples,/>Representing the length value of surrounding rock corresponding to the a-th sample in the parameter information,/>And (3) representing the cross-sectional area of the surrounding rock corresponding to the a sample in the parameter information, wherein a represents the serial number of the surrounding rock sample.
Optionally, the calculating the surrounding rock strength corresponding to the surrounding rock sample according to the surrounding rock elastic coefficient and the mechanical experimental parameter includes:
Analyzing parameter independent variables and parameter dependent variables in the mechanical experiment parameters,
Extracting the parameter independent variable and variable values corresponding to the parameter independent variable to obtain a first variable value and a second variable value;
according to the first variable value and the second variable value, calculating the parameter independent variable and regression coefficients corresponding to the parameter dependent variable;
According to the regression coefficient, calculating a rock characteristic coefficient corresponding to the surrounding rock sample, and inquiring an intensity correction coefficient corresponding to the surrounding rock sample;
and calculating the surrounding rock strength corresponding to the surrounding rock sample by combining the strength correction coefficient, the rock characteristic coefficient and the surrounding rock elastic coefficient.
Optionally, the calculating the surrounding rock strength corresponding to the surrounding rock sample by combining the strength correction coefficient, the rock characteristic coefficient and the surrounding rock elasticity coefficient includes:
Calculating the surrounding rock strength corresponding to the surrounding rock sample through the following formula:
wherein E represents the surrounding rock strength corresponding to the surrounding rock sample, Representing the density of the surrounding rock corresponding to the d-th surrounding rock in the surrounding rock sample,/>Representing the depth of the (d) th surrounding rock in the surrounding rock sample in the tunnel excavation area,/>, andRepresenting the surrounding rock elasticity coefficient of the d-th surrounding rock in the surrounding rock sample,/>Representing the rock characteristic coefficient of the d-th surrounding rock in the surrounding rock sample,/>The elastic characteristic coefficient of the d-th surrounding rock in the surrounding rock sample is expressed as/>For the bottom,/>Is exponential,/>And the strength correction coefficient of the d-th surrounding rock in the surrounding rock sample is represented.
Optionally, the mining geological feature information in the geological monitoring data includes:
analyzing data components corresponding to the geological monitoring data, and calculating component contribution degrees corresponding to the data components;
according to the contribution degree of the components, carrying out data screening processing on the geological monitoring data to obtain target geological monitoring data;
mining geological data information in the target geological monitoring data, and extracting information features corresponding to the geological data information;
Calculating characteristic radix coefficients corresponding to the information characteristics;
And determining geological feature information in the geological monitoring data from the geological data information according to the feature coefficient.
Optionally, the calculating the feature kurting coefficient corresponding to the information feature includes:
the feature-based coefficient corresponding to the information feature may be calculated by the following formula:
wherein G represents the characteristic coefficient of the information characteristic, The v-th sub-feature in the information features belongs to the feature number of the category k, v represents the sub-feature serial number in the information features, k represents the feature category,/>Representing the number of v-th sub-features in the information feature.
Optionally, the establishing a geological cloud map of the tunnel excavation area according to the geological survey data and the surrounding rock quality includes:
extracting geological component data, component distribution data and geological geometry data in the geological survey data;
Analyzing geological elements of the tunnel excavation area according to the geological component data;
analyzing the spatial relationship between the geological elements according to the component distribution data;
analyzing geometrical characteristics corresponding to the geological elements according to geological geometrical data;
Constructing an initial geological cloud image corresponding to the tunnel excavation region according to the geological elements, the spatial relationship and the geometric characteristics;
and rendering the initial geological cloud image according to the surrounding rock quality to obtain the geological cloud image of the tunnel excavation area.
Optionally, the calculating the surrounding rock displacement corresponding to the surrounding rock sample according to the loading condition and the complexity of the surrounding rock includes:
dividing the surrounding rock sample into areas to obtain surrounding rock areas, and setting area boundary conditions corresponding to the surrounding rock areas;
according to the loading conditions, determining loading stress corresponding to the surrounding rock area, and analyzing loading directions corresponding to each condition in the loading conditions;
according to the loading direction and the loading stress, calculating a target loading stress corresponding to the surrounding rock area;
and calculating the surrounding rock displacement corresponding to the surrounding rock sample according to the complexity of the surrounding rock and the target loading stress.
An intelligent analysis system for stability of tunnel surrounding rock in tunnel excavation, the system comprising:
The system comprises an elasticity coefficient calculation module, a surrounding rock analysis module and a surrounding rock analysis module, wherein the elasticity coefficient calculation module is used for acquiring tunnel engineering data of a tunnel excavation area, the tunnel engineering data comprise geological investigation data, geological monitoring data and construction data, collecting surrounding rock samples of the tunnel excavation area, carrying out a mechanical experiment on the surrounding rock samples to obtain mechanical experiment parameters, collecting parameter information corresponding to the surrounding rock samples, and calculating a surrounding rock elasticity coefficient corresponding to the surrounding rock samples by combining the mechanical experiment parameters and the parameter information;
The surrounding rock quality evaluation module is used for calculating surrounding rock strength corresponding to the surrounding rock sample according to the surrounding rock elastic coefficient and the mechanical experimental parameter, excavating geological feature information in the geological monitoring data, analyzing surrounding rock integrity corresponding to the surrounding rock sample according to the geological feature information, and evaluating surrounding rock quality corresponding to the surrounding rock sample according to the surrounding rock integrity and the surrounding rock strength;
The complexity analysis module is used for establishing a geological cloud chart of the tunnel excavation area according to the geological survey data and the surrounding rock quality, and analyzing the surrounding rock complexity of the tunnel excavation area according to the geological cloud chart;
The stability analysis module is used for combining the construction data, determining loading conditions of the tunnel excavation area, calculating surrounding rock displacement corresponding to the surrounding rock sample according to the loading conditions and the complexity of the surrounding rock, and combining the surrounding rock displacement and the surrounding rock mass to analyze the stability of the surrounding rock in the tunnel excavation area.
According to the invention, the mechanical experiment is carried out on the surrounding rock sample, so that the calculation accuracy of the surrounding rock elastic coefficient is improved, the subsequent calculation of the surrounding rock strength is facilitated, the surrounding rock displacement corresponding to the surrounding rock sample is calculated according to the surrounding rock elastic coefficient and the mechanical experiment parameter, the compressive strength which can be born by the surrounding rock sample can be known, the basis is provided for improving the accuracy of the quality evaluation of the surrounding rock. Therefore, the intelligent analysis method and the intelligent analysis system for the stability of the surrounding rock of the tunnel, which are provided by the embodiment of the invention, are applied to the tunnel excavation, and can improve the analysis accuracy of the stability of the surrounding rock of the tunnel.
Drawings
FIG. 1 is a schematic flow chart of an intelligent analysis method for stability of surrounding rock of a tunnel in tunnel excavation, which is provided by an embodiment of the invention;
fig. 2 is a functional block diagram of an intelligent analysis system for stability of surrounding rock of a tunnel in tunnel excavation according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
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.
The embodiment of the application provides an intelligent analysis method for stability of surrounding rock of a tunnel in tunnel excavation. In the embodiment of the application, the execution body of the intelligent analysis method applied to the stability of the surrounding rock of the tunnel in the tunnel excavation comprises at least one of an electronic device, such as a server, a terminal and the like, which can be configured to execute the method provided by the embodiment of the application. In other words, the intelligent analysis method applied to the stability of the surrounding rock of the tunnel in the tunnel excavation can be executed by software or hardware installed in a terminal device or a server device, wherein the software can be a blockchain platform. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.
Referring to fig. 1, a flow chart of an intelligent analysis method for stability of surrounding rock of a tunnel in tunnel excavation according to an embodiment of the present invention is shown. In this embodiment, the intelligent analysis method for the stability of the surrounding rock of the tunnel in the tunnel excavation comprises steps S1-S4.
S1, tunnel engineering data of a tunnel excavation area are obtained, the tunnel engineering data comprise geological survey data, geological monitoring data and construction data, surrounding rock samples of the tunnel excavation area are collected, mechanical experiments are carried out on the surrounding rock samples to obtain mechanical experiment parameters, parameter information corresponding to the surrounding rock samples is collected, and the surrounding rock elasticity coefficients corresponding to the surrounding rock samples are calculated by combining the mechanical experiment parameters and the parameter information.
According to the invention, the mechanical experiment is carried out on the surrounding rock sample, so that the calculation accuracy of the surrounding rock elastic coefficient is improved, and the subsequent calculation of the surrounding rock strength is facilitated, wherein the geological investigation data are surrounding rock related data obtained by carrying out field investigation and survey on the tunnel excavation area by constructors, such as the position of surrounding rock, the geological monitoring data are the geological related information in the area of the tunnel excavation area, such as the soil type, the quantity and the like contained in the area, the construction data are the data generated during construction of the tunnel excavation area, such as the construction workload, the load and the like of equipment, the surrounding rock sample is the sampling broken stone of various surrounding rocks excavated in the tunnel excavation area, the surrounding rock elastic coefficient represents the elastic recovery capacity corresponding to the surrounding rock sample, alternatively, the mechanical experiment on the surrounding rock sample can be realized by corresponding equipment, such as a compression mechanical experiment can be realized by a pressure tester, the tensile experiment can be realized by a tensile tester, and the like, and the mechanical experiment can be realized by a sample acquisition instrument, such as a rock core sampler and the laser scanner can realize the acquisition of the parameter information corresponding to the surrounding rock sample.
As an embodiment of the present invention, the calculating, by combining the mechanical experimental parameter and the parameter information, the elasticity coefficient of the surrounding rock corresponding to the surrounding rock sample includes: extracting a parameter label corresponding to the mechanical experiment parameter, identifying label information in the parameter label, extracting a stress parameter and a strain parameter from the mechanical experiment parameter according to the label information, respectively carrying out parameter cleaning on the stress parameter and the strain parameter to obtain a target stress parameter and a target strain parameter, and calculating a surrounding rock elasticity coefficient corresponding to the surrounding rock sample by combining the target stress parameter, the target strain parameter and the parameter information.
The parameter label is a parameter identifier corresponding to the mechanical experiment parameter, the label information is text information recorded by the parameter label, the stress parameter and the strain parameter are applied force and deformation degree of the surrounding rock sample in the experiment process, and the target stress parameter and the target strain parameter are parameters obtained by removing repeated parameters and error parameters in the stress parameter and the strain parameter respectively.
Optionally, extracting the parameter tag corresponding to the mechanical experiment parameter may be implemented by a tag extracting tool, the tag extracting tool is compiled by a scripting language, identifying tag information in the parameter tag may be implemented by a ocr text identifying technology, extracting the stress parameter and the strain parameter from the mechanical experiment parameter may be implemented by an extracting function, the extracting function is compiled by JAVA language, and parameter cleaning may be performed on the stress parameter and the strain parameter by a box line diagram method.
Further, as an optional embodiment of the present invention, the calculating, by combining the target stress parameter, the target strain parameter, and the parameter information, a surrounding rock elastic coefficient corresponding to the surrounding rock sample includes:
calculating the surrounding rock elasticity coefficient corresponding to the surrounding rock sample through the following formula:
wherein A represents the elasticity coefficient of the surrounding rock corresponding to the surrounding rock sample, Representing target stress parameters corresponding to the a-th sample in surrounding rock samples,/>Representing target strain parameters corresponding to the a-th sample in surrounding rock samples,/>Representing the length value of surrounding rock corresponding to the a-th sample in the parameter information,/>And (3) representing the cross-sectional area of the surrounding rock corresponding to the a sample in the parameter information, wherein a represents the serial number of the surrounding rock sample.
S2, calculating the surrounding rock strength corresponding to the surrounding rock sample according to the surrounding rock elastic coefficient and the mechanical experimental parameter, excavating geological feature information in the geological monitoring data, analyzing the surrounding rock integrity corresponding to the surrounding rock sample according to the geological feature information, and evaluating the surrounding rock quality corresponding to the surrounding rock sample according to the surrounding rock integrity and the surrounding rock strength.
According to the surrounding rock elastic coefficient and the mechanical experimental parameters, the surrounding rock strength corresponding to the surrounding rock sample is calculated, the compressive strength which can be born by the surrounding rock sample can be known, and a basis is provided for improving the accuracy of surrounding rock quality evaluation, wherein the surrounding rock strength represents the compressive strength born by each surrounding rock in the surrounding rock sample.
As one embodiment of the present invention, the calculating the surrounding rock strength corresponding to the surrounding rock sample according to the surrounding rock elasticity coefficient and the mechanical experiment parameter includes: analyzing parameter independent variables and parameter dependent variables in the mechanical experiment parameters, extracting variable values corresponding to the parameter independent variables and the parameter dependent variables to obtain a first variable value and a second variable value, calculating regression coefficients corresponding to the parameter independent variables and the parameter dependent variables according to the first variable value and the second variable value, calculating rock characteristic coefficients corresponding to the surrounding rock samples according to the regression coefficients, inquiring intensity correction coefficients corresponding to the surrounding rock samples, and calculating surrounding rock intensities corresponding to the surrounding rock samples by combining the intensity correction coefficients, the rock characteristic coefficients and the surrounding rock elastic coefficients.
Wherein the parameter independent variable is an independent variable in the mechanical experiment parameter, the parameter independent variable is independent variable without being influenced by other variables, the parameter dependent variable is a variable which is changed in the mechanical experiment parameter and depends on the independent variable, the value of the parameter independent variable is dependent on the value of the independent variable, the first variable value and the second variable value are respectively expression values corresponding to the parameter independent variable and the parameter dependent variable, the regression coefficient represents the relation strength between the parameter independent variable and the parameter dependent variable, the rock characteristic coefficient represents the parameter of the mechanical property and the physical property corresponding to the surrounding rock sample, and the strength correction coefficient is a correction factor for calculating the strength of the surrounding rock sample.
Optionally, analyzing the parameter independent variable and the parameter dependent variable in the mechanical experiment parameter may be implemented by a correlation analysis method, calculating the variable values corresponding to the parameter independent variable and the parameter dependent variable may be implemented by a genetic algorithm, by simulating a biological evolution process, searching an optimal solution corresponding to the parameter independent variable and the parameter dependent variable in a solution space by selecting, crossing and mutating operations, thereby obtaining a first variable value and a second variable value, calculating a regression coefficient corresponding to the parameter independent variable and the parameter dependent variable may be implemented by a linear regression model, and obtaining a rock characteristic coefficient by performing weighted summation on the regression coefficient, wherein the weight of the regression coefficient may be obtained by calculating the weight corresponding to the parameter independent variable, the strength correction coefficient corresponding to the surrounding rock sample may be obtained by querying a UCS database, and the UCS database is collectively referred to as Uniaxial Compressive Strength, i.e. the compressive strength of the rock, and the UCS value of various rock types and samples is stored in such database.
Optionally, as an optional embodiment of the present invention, the calculating, by combining the strength correction coefficient, the rock characteristic coefficient, and the surrounding rock elastic coefficient, the surrounding rock strength corresponding to the surrounding rock sample includes:
Calculating the surrounding rock strength corresponding to the surrounding rock sample through the following formula:
wherein E represents the surrounding rock strength corresponding to the surrounding rock sample, Representing the density of the surrounding rock corresponding to the d-th surrounding rock in the surrounding rock sample,/>Representing the depth of the (d) th surrounding rock in the surrounding rock sample in the tunnel excavation area,/>, andRepresenting the surrounding rock elasticity coefficient of the d-th surrounding rock in the surrounding rock sample,/>Representing the rock characteristic coefficient of the d-th surrounding rock in the surrounding rock sample,/>The elastic characteristic coefficient of the d-th surrounding rock in the surrounding rock sample is expressed as/>For the bottom,/>Is exponential,/>And the strength correction coefficient of the d-th surrounding rock in the surrounding rock sample is represented.
According to the method, the geological characteristic information in the geological monitoring data is mined, the geological characteristic of the tunnel excavation area can be known, basic information is provided for geological research and exploration activities of the tunnel excavation area, the surrounding rock integrity corresponding to the surrounding rock sample is analyzed according to the geological characteristic information, so that the basic quality problem of the surrounding rock sample is conveniently analyzed, the surrounding rock quality evaluation of the surrounding rock sample is facilitated, the geological characteristic information is representative data of the geological characteristic, the structure and the composition in the geological monitoring data, the surrounding rock integrity represents the integrity degree corresponding to the surrounding rock sample, the information index corresponding to the information index is optionally determined, the reference standard corresponding to the information index is inquired according to the geological characteristic information, the index value and the index information are respectively compared with the reference standard corresponding to obtain the index ratio corresponding to the information index, the surrounding rock integrity corresponding to be analyzed, the physical index density corresponding to the physical index is obtained by comparing the characteristic information, the water absorption coefficient, the physical index and the physical index is compared with the comprehensive index, and the physical index is obtained according to the overall index density, and the physical index is compared with the comprehensive index value.
As one embodiment of the present invention, the mining geological feature information in the geological monitoring data includes: analyzing data components corresponding to the geological monitoring data, calculating component contribution degrees corresponding to the data components, carrying out data screening processing on the geological monitoring data according to the component contribution degrees to obtain target geological monitoring data, mining geological data information in the target geological monitoring data, extracting information features corresponding to the geological data information, calculating feature radix coefficients corresponding to the information features, and determining geological feature information in the geological monitoring data from the geological data information according to the feature radix coefficients.
The data components in the geological monitoring data, such as geological morphology data, comprise a landform type, landform fluctuation, a ground surface covering and the like, the contribution degree of the components represents the influence degree of the data components on the whole, the geological data information is information contained in the target geological monitoring data, the information features are information representation corresponding to the geological data information, and the feature kunity coefficient represents the importance corresponding to the information features.
Optionally, analyzing data components corresponding to the geological monitoring data, calculating component contribution degrees corresponding to the data components, performing data screening processing on the geological monitoring data according to the component contribution degrees to obtain target geological monitoring data, mining geological data information in the target geological monitoring data, extracting information features corresponding to the geological data information, calculating feature-based coefficients corresponding to the information features, and determining geological feature information in the geological monitoring data from the geological data information according to the feature-based coefficients.
Optionally, as an optional embodiment of the present invention, the calculating a feature radix coefficient corresponding to the information feature includes:
the feature-based coefficient corresponding to the information feature may be calculated by the following formula:
wherein G represents the characteristic coefficient of the information characteristic, The v-th sub-feature in the information features belongs to the feature number of the category k, v represents the sub-feature serial number in the information features, k represents the feature category,/>Representing the number of v-th sub-features in the information feature.
According to the method, the quality of the surrounding rock corresponding to the surrounding rock sample is evaluated according to the integrity of the surrounding rock and the strength of the surrounding rock, the quality condition corresponding to the surrounding rock sample can be known, and therefore subsequent analysis of the stability of the surrounding rock is facilitated.
S3, establishing a geological cloud picture of the tunnel excavation area according to the geological survey data and the surrounding rock quality, and analyzing the complexity of the surrounding rock of the tunnel excavation area according to the geological cloud picture.
According to the geological survey data and the surrounding rock quality, a geological cloud image of the tunnel excavation area is built, so that geology of the tunnel excavation area is visualized, further subsequent analysis of surrounding rock complexity is facilitated, wherein the geological cloud image is a geological image of geological information of the tunnel excavation area in a cloud service form, the surrounding rock complexity represents complexity of surrounding rock distribution of the tunnel excavation area, and optionally, surrounding rock complexity of the tunnel excavation area can be analyzed according to the surrounding rock distribution density by observing surrounding rock distribution density in the geological cloud image.
As one embodiment of the present invention, the creating a geological cloud map of the tunnel excavation area according to the geological survey data and the surrounding rock quality includes: extracting geological component data, component distribution data and geological geometry data in the geological investigation data, analyzing geological elements of the tunnel excavation region according to the geological component data, analyzing spatial relations among the geological elements according to the component distribution data, analyzing geometrical characteristics corresponding to the geological elements according to the geological geometry data, constructing an initial geological cloud map corresponding to the tunnel excavation region according to the geological elements, the spatial relations and the geometrical characteristics, and rendering the initial geological cloud map according to the surrounding rock quality to obtain the geological cloud map of the tunnel excavation region.
The geological component data is data about material components of the tunnel excavation area, the component distribution data is data about material distribution of the tunnel excavation area, the geological geometric data is data describing geometric shapes of the material components of the tunnel excavation area, the geological elements are specific material components contained in the tunnel excavation area, such as soil, groundwater, minerals and the like, the spatial relationship is a relationship between the geological elements in distance and distribution positions, and the geometric features are shape features corresponding to the geological elements.
Optionally, extracting the geological component data, the component distribution data and the geological geometry data in the geological investigation data, according to the geological component data, may be implemented by the extraction function, by identifying the component name in the geological component data, obtaining the geological elements of the tunnel excavation region according to the component name, analyzing the spatial relationship between the geological elements according to the data of the distribution position and the distribution depth recorded in the component distribution data, constructing the initial geological cloud map corresponding to the tunnel excavation region may be implemented by Geographic Information System (GIS) software, setting the corresponding color depth according to the height of the surrounding rock quality, and rendering the initial geological cloud map by a color coding method, for example, presenting different geological elements on a map by a color coding method, for example, using different colors to represent different rock types or structural features, so that the geological elements are more visual and visible.
S4, determining loading conditions of the tunnel excavation area by combining the construction data, calculating surrounding rock displacement corresponding to the surrounding rock sample according to the loading conditions and the complexity of the surrounding rock, and analyzing surrounding rock stability in the tunnel excavation area by combining the surrounding rock displacement and the surrounding rock mass.
According to the loading condition and the complexity of the surrounding rock, the displacement of the surrounding rock corresponding to the surrounding rock sample is calculated, the displacement of the surrounding rock sample can be known, further the analysis accuracy of the stability of the follow-up surrounding rock is improved, wherein the loading condition is an external load born by a tunnel excavation area, the displacement of the surrounding rock is a position variable quantity corresponding to the surrounding rock sample, optionally, the construction load is determined according to the construction data, the dead weight load of the tunnel excavation area is counted, the static load and the dynamic load around the surrounding rock sample are calculated through corresponding instruments, the underground water level change is monitored through equipment such as a pressure sensor and is converted into water head or water pressure data, the hydraulic load acting on the surrounding rock can be calculated according to geological conditions and hydrologic characteristics, and the construction load, the dead weight load, the static load and the dynamic load are used as the loading condition of the tunnel excavation area.
As one embodiment of the present invention, the calculating the displacement of the surrounding rock corresponding to the surrounding rock sample according to the loading condition and the complexity of the surrounding rock includes: dividing the surrounding rock sample into areas to obtain a surrounding rock area, setting area boundary conditions corresponding to the surrounding rock area, determining loading stress corresponding to the surrounding rock area according to the loading conditions, analyzing loading directions corresponding to each condition in the loading conditions, calculating target loading stress corresponding to the surrounding rock area according to the loading directions and the loading stress, and calculating surrounding rock displacement corresponding to the surrounding rock sample according to the complexity of the surrounding rock and the target loading stress.
The surrounding rock area is formed by dividing discrete surrounding rock in the surrounding rock sample into separate areas, the boundary condition of the areas is a constraint condition corresponding to the surrounding rock area, such as a fixed boundary, a free boundary or a boundary applying force, and the like, the loading stress is loading power corresponding to the loading condition, such as gravity, the loading direction is the direction of force or load applied by the loading condition on a structure or an object, and the target loading stress is resultant force corresponding to the surrounding rock area.
Optionally, the area division of the surrounding rock sample may be implemented by a grid division method, for example, a boundary element method, and the specific step of setting the area boundary condition corresponding to the surrounding rock area is as follows: such as fixed boundary conditions: a. determining which boundaries are fixed, i.e. do not allow any displacement or deformation, b. Selecting a proper supporting mode, such as steel frames, concrete walls, etc., according to the actual conditions of the site, c. Taking the parameters (such as rigidity, strength, etc.) and stress conditions of the supporting structure as boundary conditions, free boundary conditions: a. determining which boundaries are free, i.e. allow a certain degree of displacement or deformation, b. Selecting the appropriate free boundary type, e.g. free surface, open boundary, etc. based on the field reality, c. Determining the displacement or deformation limit of the free boundary based on the field measured data or empirical estimation, and taking it as boundary condition, applying force or boundary condition of displacement: a. determining which boundaries need to apply additional force or displacement, b, determining the mode and the size of the applied force or displacement according to the actual condition of the site and an analysis target, c, determining the loading stress corresponding to the surrounding rock area by taking the applied force or displacement as boundary conditions according to parameters and action modes of a supporting structure or an external load, inputting the loading conditions into a mechanical model through a finite element model, calculating the corresponding loading stress through a mechanical equation in the mechanical model, wherein the mechanical equation comprises Hooke's law, determining the direction of force under the balanced state of each condition by drawing a superposition graph or a free body graph corresponding to each condition in the loading conditions, determining the loading direction corresponding to each condition in the loading conditions according to the balanced condition, calculating the target loading stress corresponding to the surrounding rock area by taking the parameters and the action modes of the mutually offset, determining the calculating method of the displacement according to the surrounding rock complexity, if the surrounding rock complexity is lower, calculating the corresponding loading stress through a numerical simulation method, calculating the displacement through a numerical simulation method by inputting the target loading stress into a numerical analysis software (such as a finite element method, and carrying out the displacement on a model, if the engineering is high, and the displacement is based on the experimental and the like, and the displacement is realized through a model.
According to the method, the surrounding rock stability in the tunnel excavation area is analyzed by combining the surrounding rock displacement and the surrounding rock mass, so that corresponding protection measures of the tunnel excavation area are formulated according to the surrounding rock stability, construction safety is improved, and optionally, the surrounding rock stability in the tunnel excavation area can be analyzed by combining the displacement amount of the surrounding rock displacement and the height of the surrounding rock mass, if the surrounding rock displacement is low or not moving, and the surrounding rock mass is high, the surrounding rock stability is high, otherwise, if the surrounding rock stability is low, corresponding protection measures such as reinforcing or supporting the surrounding rock are needed.
According to the invention, the mechanical experiment is carried out on the surrounding rock sample, so that the calculation accuracy of the surrounding rock elastic coefficient is improved, the subsequent calculation of the surrounding rock strength is facilitated, the surrounding rock displacement corresponding to the surrounding rock sample is calculated according to the surrounding rock elastic coefficient and the mechanical experiment parameter, the compressive strength which can be born by the surrounding rock sample can be known, the basis is provided for improving the accuracy of the quality evaluation of the surrounding rock. Therefore, the intelligent analysis method for the stability of the surrounding rock of the tunnel, which is applied to tunnel excavation, can improve the analysis accuracy of the stability of the surrounding rock of the tunnel.
Fig. 2 is a functional block diagram of an intelligent analysis system for stability of surrounding rock of a tunnel in tunnel excavation according to an embodiment of the present invention.
The intelligent analysis system 100 for the stability of surrounding rocks of tunnels in tunnel excavation can be installed in electronic equipment. According to the implemented functions, the intelligent analysis system 100 for the stability of the surrounding rock of the tunnel in the tunnel excavation process can comprise an elasticity coefficient calculation module 101, a surrounding rock quality evaluation module 102, a complexity analysis module 103 and a stability analysis module 104. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the present embodiment, the functions concerning the respective modules/units are as follows:
the elasticity coefficient calculation module 101 is configured to obtain tunnel engineering data of a tunnel excavation area, where the tunnel engineering data includes geological survey data, geological monitoring data and construction data, collect surrounding rock samples of the tunnel excavation area, perform a mechanical experiment on the surrounding rock samples to obtain mechanical experiment parameters, collect parameter information corresponding to the surrounding rock samples, and calculate a surrounding rock elasticity coefficient corresponding to the surrounding rock samples in combination with the mechanical experiment parameters and the parameter information;
The surrounding rock quality evaluation module 102 is configured to calculate a surrounding rock strength corresponding to the surrounding rock sample according to the surrounding rock elastic coefficient and the mechanical experimental parameter, mine geological feature information in the geological monitoring data, analyze a surrounding rock integrity corresponding to the surrounding rock sample according to the geological feature information, and evaluate a surrounding rock quality corresponding to the surrounding rock sample according to the surrounding rock integrity and the surrounding rock strength;
The complexity analysis module 103 is configured to establish a geological cloud map of the tunnel excavation area according to the geological survey data and the surrounding rock quality, and analyze the surrounding rock complexity of the tunnel excavation area according to the geological cloud map;
The stability analysis module 104 is configured to determine a loading condition of the tunnel excavation area in combination with the construction data, calculate a surrounding rock displacement corresponding to the surrounding rock sample according to the loading condition and the complexity of the surrounding rock, and analyze the stability of the surrounding rock in the tunnel excavation area in combination with the surrounding rock displacement and the surrounding rock mass.
In detail, each module in the intelligent analysis system 100 for stability of surrounding rock of tunnel in tunnel excavation according to the embodiment of the present application adopts the same technical means as the intelligent analysis method for stability of surrounding rock of tunnel in tunnel excavation according to fig. 1, and can produce the same technical effects, which are not described herein.
In several embodiments provided by the present invention, it should be understood that the methods and systems provided may be implemented in other ways. For example, the above-described method embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and other manners of division may be implemented in practice.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.

Claims (8)

1. An intelligent analysis method for stability of surrounding rock of a tunnel in tunnel excavation, which is characterized by comprising the following steps:
Tunnel engineering data of a tunnel excavation area are obtained, the tunnel engineering data comprise geological survey data, geological monitoring data and construction data, surrounding rock samples of the tunnel excavation area are collected, mechanical experiments are carried out on the surrounding rock samples to obtain mechanical experiment parameters, parameter information corresponding to the surrounding rock samples is collected, and surrounding rock elasticity coefficients corresponding to the surrounding rock samples are calculated by combining the mechanical experiment parameters and the parameter information;
and calculating the surrounding rock elasticity coefficient corresponding to the surrounding rock sample by combining the mechanical experiment parameter and the parameter information, wherein the calculating comprises the following steps:
extracting a parameter label corresponding to the mechanical experiment parameter, and identifying label information in the parameter label;
According to the label information, extracting stress parameters and strain parameters from the mechanical experiment parameters;
respectively carrying out parameter cleaning on the stress parameter and the strain parameter to obtain a target stress parameter and a target strain parameter;
calculating the elasticity coefficient of the surrounding rock corresponding to the surrounding rock sample by combining the target stress parameter, the target strain parameter and the parameter information;
And calculating the surrounding rock elasticity coefficient corresponding to the surrounding rock sample by combining the target stress parameter, the target strain parameter and the parameter information, wherein the calculating comprises the following steps:
calculating the surrounding rock elasticity coefficient corresponding to the surrounding rock sample through the following formula:
wherein A represents the elasticity coefficient of the surrounding rock corresponding to the surrounding rock sample, Representing target stress parameters corresponding to the a-th sample in surrounding rock samples,/>Representing target strain parameters corresponding to the a-th sample in surrounding rock samples,/>Representing the length value of surrounding rock corresponding to the a-th sample in the parameter information,/>Representing the cross section area of the surrounding rock corresponding to the a sample in the parameter information, wherein a represents the serial number of the surrounding rock sample;
Calculating the surrounding rock strength corresponding to the surrounding rock sample according to the surrounding rock elastic coefficient and the mechanical experimental parameter, excavating geological feature information in the geological monitoring data, analyzing the surrounding rock integrity corresponding to the surrounding rock sample according to the geological feature information, and evaluating the surrounding rock quality corresponding to the surrounding rock sample according to the surrounding rock integrity and the surrounding rock strength;
Establishing a geological cloud picture of the tunnel excavation area according to the geological survey data and the surrounding rock quality, and analyzing the surrounding rock complexity of the tunnel excavation area according to the geological cloud picture;
And determining loading conditions of the tunnel excavation area by combining the construction data, calculating surrounding rock displacement corresponding to the surrounding rock sample according to the loading conditions and the complexity of the surrounding rock, and analyzing surrounding rock stability in the tunnel excavation area by combining the surrounding rock displacement and the surrounding rock mass.
2. The intelligent analysis method for stability of surrounding rock of tunnel according to claim 1, wherein the calculating the strength of surrounding rock corresponding to the surrounding rock sample according to the elasticity coefficient of surrounding rock and the mechanical experimental parameter comprises:
Analyzing parameter independent variables and parameter dependent variables in the mechanical experiment parameters,
Extracting the parameter independent variable and variable values corresponding to the parameter independent variable to obtain a first variable value and a second variable value;
according to the first variable value and the second variable value, calculating the parameter independent variable and regression coefficients corresponding to the parameter dependent variable;
According to the regression coefficient, calculating a rock characteristic coefficient corresponding to the surrounding rock sample, and inquiring an intensity correction coefficient corresponding to the surrounding rock sample;
and calculating the surrounding rock strength corresponding to the surrounding rock sample by combining the strength correction coefficient, the rock characteristic coefficient and the surrounding rock elastic coefficient.
3. The intelligent analysis method for stability of surrounding rock of a tunnel in tunnel excavation according to claim 2, wherein the calculating the strength of the surrounding rock corresponding to the surrounding rock sample by combining the strength correction coefficient, the rock characteristic coefficient and the elasticity coefficient of the surrounding rock comprises:
Calculating the surrounding rock strength corresponding to the surrounding rock sample through the following formula:
wherein E represents the surrounding rock strength corresponding to the surrounding rock sample, Representing the density of the surrounding rock corresponding to the d-th surrounding rock in the surrounding rock sample,/>Representing the depth of the (d) th surrounding rock in the surrounding rock sample in the tunnel excavation area,/>, andRepresenting the surrounding rock elasticity coefficient of the d-th surrounding rock in the surrounding rock sample,/>Representing the rock characteristic coefficient of the d-th surrounding rock in the surrounding rock sample,/>The elastic characteristic coefficient of the d-th surrounding rock in the surrounding rock sample is expressed as/>For the bottom,/>Is exponential,/>And the strength correction coefficient of the d-th surrounding rock in the surrounding rock sample is represented.
4. An intelligent analysis method for stability of surrounding rock of a tunnel applied to tunnel excavation according to claim 1, wherein the excavation of geological feature information in the geological monitoring data comprises:
analyzing data components corresponding to the geological monitoring data, and calculating component contribution degrees corresponding to the data components;
according to the contribution degree of the components, carrying out data screening processing on the geological monitoring data to obtain target geological monitoring data;
mining geological data information in the target geological monitoring data, and extracting information features corresponding to the geological data information;
Calculating characteristic radix coefficients corresponding to the information characteristics;
And determining geological feature information in the geological monitoring data from the geological data information according to the feature coefficient.
5. The intelligent analysis method for tunnel surrounding rock stability in tunnel excavation according to claim 4, wherein the calculating of the feature-based coefficient corresponding to the information feature comprises:
the feature-based coefficient corresponding to the information feature may be calculated by the following formula:
wherein G represents the characteristic coefficient of the information characteristic, The v-th sub-feature in the information features belongs to the feature number of the category k, v represents the sub-feature serial number in the information features, k represents the feature category,/>Representing the number of v-th sub-features in the information feature.
6. The intelligent analysis method for stability of surrounding rock of a tunnel in tunnel excavation according to claim 1, wherein said establishing a geological cloud map of the tunnel excavation area based on the geological survey data and the surrounding rock quality comprises:
extracting geological component data, component distribution data and geological geometry data in the geological survey data;
Analyzing geological elements of the tunnel excavation area according to the geological component data;
analyzing the spatial relationship between the geological elements according to the component distribution data;
analyzing geometrical characteristics corresponding to the geological elements according to geological geometrical data;
Constructing an initial geological cloud image corresponding to the tunnel excavation region according to the geological elements, the spatial relationship and the geometric characteristics;
and rendering the initial geological cloud image according to the surrounding rock quality to obtain the geological cloud image of the tunnel excavation area.
7. The intelligent analysis method for stability of surrounding rock of a tunnel in tunnel excavation according to claim 1, wherein the calculating the displacement of the surrounding rock corresponding to the surrounding rock sample according to the loading condition and the complexity of the surrounding rock comprises:
dividing the surrounding rock sample into areas to obtain surrounding rock areas, and setting area boundary conditions corresponding to the surrounding rock areas;
according to the loading conditions, determining loading stress corresponding to the surrounding rock area, and analyzing loading directions corresponding to each condition in the loading conditions;
according to the loading direction and the loading stress, calculating a target loading stress corresponding to the surrounding rock area;
and calculating the surrounding rock displacement corresponding to the surrounding rock sample according to the complexity of the surrounding rock and the target loading stress.
8. An intelligent analysis system for stability of surrounding rock of a tunnel in tunnel excavation, the system comprising:
The system comprises an elasticity coefficient calculation module, a surrounding rock analysis module and a surrounding rock analysis module, wherein the elasticity coefficient calculation module is used for acquiring tunnel engineering data of a tunnel excavation area, the tunnel engineering data comprise geological investigation data, geological monitoring data and construction data, collecting surrounding rock samples of the tunnel excavation area, carrying out a mechanical experiment on the surrounding rock samples to obtain mechanical experiment parameters, collecting parameter information corresponding to the surrounding rock samples, and calculating a surrounding rock elasticity coefficient corresponding to the surrounding rock samples by combining the mechanical experiment parameters and the parameter information;
and calculating the surrounding rock elasticity coefficient corresponding to the surrounding rock sample by combining the mechanical experiment parameter and the parameter information, wherein the calculating comprises the following steps:
extracting a parameter label corresponding to the mechanical experiment parameter, and identifying label information in the parameter label;
According to the label information, extracting stress parameters and strain parameters from the mechanical experiment parameters;
respectively carrying out parameter cleaning on the stress parameter and the strain parameter to obtain a target stress parameter and a target strain parameter;
calculating the elasticity coefficient of the surrounding rock corresponding to the surrounding rock sample by combining the target stress parameter, the target strain parameter and the parameter information;
And calculating the surrounding rock elasticity coefficient corresponding to the surrounding rock sample by combining the target stress parameter, the target strain parameter and the parameter information, wherein the calculating comprises the following steps:
calculating the surrounding rock elasticity coefficient corresponding to the surrounding rock sample through the following formula:
wherein A represents the elasticity coefficient of the surrounding rock corresponding to the surrounding rock sample, Representing target stress parameters corresponding to the a-th sample in surrounding rock samples,/>Representing target strain parameters corresponding to the a-th sample in surrounding rock samples,/>Representing the length value of surrounding rock corresponding to the a-th sample in the parameter information,/>Representing the cross section area of the surrounding rock corresponding to the a sample in the parameter information, wherein a represents the serial number of the surrounding rock sample;
The surrounding rock quality evaluation module is used for calculating surrounding rock strength corresponding to the surrounding rock sample according to the surrounding rock elastic coefficient and the mechanical experimental parameter, excavating geological feature information in the geological monitoring data, analyzing surrounding rock integrity corresponding to the surrounding rock sample according to the geological feature information, and evaluating surrounding rock quality corresponding to the surrounding rock sample according to the surrounding rock integrity and the surrounding rock strength;
The complexity analysis module is used for establishing a geological cloud chart of the tunnel excavation area according to the geological survey data and the surrounding rock quality, and analyzing the surrounding rock complexity of the tunnel excavation area according to the geological cloud chart;
The stability analysis module is used for combining the construction data, determining loading conditions of the tunnel excavation area, calculating surrounding rock displacement corresponding to the surrounding rock sample according to the loading conditions and the complexity of the surrounding rock, and combining the surrounding rock displacement and the surrounding rock mass to analyze the stability of the surrounding rock in the tunnel excavation area.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112539066A (en) * 2020-12-22 2021-03-23 中铁五局集团成都工程有限责任公司 Rapid construction method for karst development long tunnel
CN114880755A (en) * 2022-07-07 2022-08-09 西南交通大学 Surrounding rock grading method, device and equipment for railway tunnel and readable storage medium
CN116894291A (en) * 2023-07-31 2023-10-17 山东科技大学 FEM-DEM numerical calculation-based construction method for different geological tunnel surrounding rock blasting vibration safety criteria

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112539066A (en) * 2020-12-22 2021-03-23 中铁五局集团成都工程有限责任公司 Rapid construction method for karst development long tunnel
CN114880755A (en) * 2022-07-07 2022-08-09 西南交通大学 Surrounding rock grading method, device and equipment for railway tunnel and readable storage medium
CN116894291A (en) * 2023-07-31 2023-10-17 山东科技大学 FEM-DEM numerical calculation-based construction method for different geological tunnel surrounding rock blasting vibration safety criteria

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
"隧道围岩质量分级与稳定性评价";卢庆喜;《硕士电子期刊 工程科技II辑》;20170215(第02期);第3-4章 *
大跨径隧道围岩的快速分级与稳定性分析;赵文忠;黄生文;刘丹;;地下空间与工程学报;20150415(02);全文 *
深埋地下洞室群轴线方位合理布置的计算分析;张雨霆;肖明;汤福平;;武汉大学学报(工学版);20090628(03);论文第2节 *
隧道施工中围岩应力和变形探讨;言志信;郭斌;樊姝芳;高乐;;武汉理工大学学报;20130228(02);全文 *

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