CN114280273B - Tunnel excavation face unstability model simulation test intelligent analysis system based on big data - Google Patents
Tunnel excavation face unstability model simulation test intelligent analysis system based on big data Download PDFInfo
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- 238000009412 basement excavation Methods 0.000 title claims abstract description 208
- 238000004458 analytical method Methods 0.000 title claims abstract description 82
- 238000012360 testing method Methods 0.000 title claims abstract description 49
- 238000004088 simulation Methods 0.000 title claims abstract description 20
- 239000002689 soil Substances 0.000 claims abstract description 403
- 238000010276 construction Methods 0.000 claims abstract description 327
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 39
- 238000001514 detection method Methods 0.000 claims abstract description 18
- 238000005070 sampling Methods 0.000 claims description 17
- 238000002360 preparation method Methods 0.000 claims description 16
- 238000012216 screening Methods 0.000 claims description 11
- 230000005484 gravity Effects 0.000 claims description 9
- 230000035699 permeability Effects 0.000 claims description 9
- 238000006467 substitution reaction Methods 0.000 claims description 6
- 238000002474 experimental method Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 230000000284 resting effect Effects 0.000 claims description 2
- 230000000368 destabilizing effect Effects 0.000 claims 1
- 238000000034 method Methods 0.000 abstract description 11
- 238000013461 design Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000001687 destabilization Effects 0.000 description 2
- 238000006073 displacement reaction Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000000839 emulsion Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
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Abstract
The invention discloses a tunnel excavation face instability model simulation test intelligent analysis system based on big data, which comprises a tunnel excavation region dividing module, a soil type obtaining module, a soil pressure analysis module, a tunnel top interval counting module, a soil water content detection module, a construction soil pressure analysis module, an excavation face soil parameter detection module, a tunnel excavation face supporting force analysis module, a tunnel excavation face state analysis module and a storage database. According to the invention, the construction soil pressure born by the excavation surface of each section of sub-area in the pre-construction tunnel and the excavation surface supporting force of each section of sub-area are obtained by detecting the real soil data, and the excavation surface instability coefficient of each section of sub-area in the pre-construction tunnel is analyzed according to the tunnel excavation surface instability model, so that the state of the excavation surface of the pre-construction tunnel can be truly reflected, the accuracy and the reliability of the analysis result of the state of the excavation surface of the tunnel are improved, and the occurrence rate of the excavation surface instability in the later tunnel construction process is reduced.
Description
Technical Field
The invention relates to the field of tunnel excavation face instability analysis, in particular to an intelligent analysis system for a tunnel excavation face instability model simulation test based on big data.
Background
The tunnel excavation construction technology becomes a main means of urban underground construction by virtue of the advantages of the tunnel excavation construction technology, but the stability of an excavation surface is a key problem of the tunnel excavation construction technology, and the surrounding environment is directly influenced.
The model simulation test is widely applied to the research of the stability of the tunnel excavation surface because of the convenience of controlling test parameters and better economy. The existing tunnel excavation surface stability model test determines the design size and model soil of the model according to the similarity ratio, and the excavation surface instability damage process is simulated by adopting an excavation surface displacement mode, so that the test can only analyze the instability influence of the excavation surface displacement, and cannot accurately analyze the instability influence of the excavation surface supporting force in combination with actual data, thereby leading to incomplete compliance with actual working conditions, causing the instability damage of the tunnel excavation surface due to insufficient supporting force in the later construction process, causing overlarge ground subsidence and serious damage to the surrounding environment, and leading to the influence on the normal life of surrounding people.
Meanwhile, the existing tunnel excavation face stability model test adopts a penetration type measuring tool to measure test data, and the problem that the test data of model soil are changed exists, so that the test data and the actual data are greatly different, the accuracy and the reliability of tunnel excavation face stability analysis are reduced, the occurrence rate of excavation face instability in the later tunnel construction process is improved, and the construction progress and the construction period of tunnel engineering are seriously influenced.
In order to solve the problems, an intelligent analysis system for simulating and testing the tunnel excavation face instability model based on big data is designed.
Disclosure of Invention
In view of the problems in the prior art, the invention provides an intelligent analysis system for a tunnel excavation face instability model simulation test based on big data, which is used for solving the technical problems.
In order to achieve the above and other objects, the present invention adopts the following technical scheme:
the intelligent analysis system for the tunnel excavation face instability model simulation test based on big data comprises a tunnel excavation area dividing module, a soil type obtaining module, a soil pressure analysis module, a tunnel top interval statistics module, a soil water content detection module, a construction soil pressure analysis module, an excavation face soil parameter detection module, a tunnel excavation face supporting force analysis module, a tunnel excavation face state analysis module and a storage database;
the tunnel excavation region dividing module is used for dividing an excavation region of the pre-constructed tunnel into each section of sub-region and dividing soil above each section of sub-region in the pre-constructed tunnel into each depth layer of soil;
the soil type acquisition module is used for sampling soil of each depth layer above each section of sub-area in the pre-construction tunnel, analyzing the soil types corresponding to each depth layer above each section of sub-area in the pre-construction tunnel, and obtaining the soil weights corresponding to each depth layer above each section of sub-area in the pre-construction tunnel;
the soil pressure analysis module is used for testing relevant parameters of soil samples of each depth layer above each section of sub-area in the pre-construction tunnel and analyzing the corresponding soil pressure of soil of each depth layer above each section of sub-area in the pre-construction tunnel;
the tunnel top interval counting module is used for counting the interval between the center point of each depth layer soil above each section of sub-area in the pre-construction tunnel and the top of the tunnel, and analyzing to obtain the corresponding soil stress of each depth layer soil above each section of sub-area in the pre-construction tunnel;
the soil moisture content detection module is used for detecting the moisture content of soil samples of each depth layer above each section of sub-area in the pre-construction tunnel and analyzing to obtain the corresponding water pressure of soil of each depth layer above each section of sub-area in the pre-construction tunnel;
the construction soil pressure analysis module is used for analyzing construction soil pressure borne by the excavation surface of each section of sub-area in the pre-construction tunnel;
the excavation face soil parameter detection module is used for randomly sampling excavation face soil of each section of sub-area in the pre-construction tunnel and detecting relevant parameters of each excavation face soil sample in each section of sub-area in the pre-construction tunnel;
the tunnel excavation face supporting force analysis module is used for extracting standard supporting force stability indexes stored in a storage database and analyzing the excavation face supporting force of each section of sub-area in the pre-construction tunnel;
the tunnel excavation face state analysis module is used for analyzing the excavation face instability coefficients of all the sections of sub-areas in the pre-construction tunnel, comparing and analyzing the state of the excavation face of the pre-construction tunnel and displaying the state.
Optionally, in the tunnel excavation area division module, the excavation area of the pre-constructed tunnel is divided into each section of sub-area, and soil above each section of sub-area in the pre-constructed tunnel is divided into each depth layer of soil, which specifically includes:
dividing the excavation area of the pre-constructed tunnel into sub-areas of each section according to the length of the pre-constructed tunnel in an equal division mode, and respectively marking the sub-areas of each section in the pre-constructed tunnel as a i Wherein i=1, 2, n;
dividing soil above each section of sub-area in the pre-construction tunnel into soil with each depth layer according to a set equidistant soil depth dividing mode, and respectively marking the soil with each depth layer above each section of sub-area in the pre-construction tunnel as a ij Where j=1, 2,..m.
Optionally, the soil type obtaining module obtains the soil weight corresponding to the soil of each deep layer above each section of sub-area in the pre-construction tunnel, and the specific obtaining mode is as follows:
sampling soil of each depth layer above each section of sub-area in the pre-construction tunnel at random to obtain soil samples of each depth layer above each section of sub-area in the pre-construction tunnel;
collecting images of soil samples of each depth layer above each section of sub-area in the pre-construction tunnel, comparing the images of the soil samples of each depth layer above each section of sub-area in the pre-construction tunnel with preset standard images corresponding to each soil type, and screening the soil samples of each depth layer above each section of sub-area in the pre-construction tunnel to correspond to the soil types;
extracting the preset soil types corresponding to standard soil weights, screening the soil weights corresponding to the soil samples of the depth layers above the sub-areas of each section in the pre-construction tunnel, taking the soil weights as the soil weights corresponding to the soil of the depth layers above the sub-areas of each section in the pre-construction tunnel, and marking the soil weights corresponding to the soil of the depth layers above the sub-areas of each section in the pre-construction tunnel as gamma ij 。
Optionally, the soil pressure analysis module detects relevant parameters of soil samples of each depth layer above each section of sub-area in the pre-construction tunnel, and analyzes soil corresponding to the soil pressure of each depth layer above each section of sub-area in the pre-construction tunnel, and specifically includes:
determining the soil cohesion of the soil samples of each depth layer above each segment of sub-area in the pre-construction tunnel through experiments, and marking the soil cohesion of the soil samples of each depth layer above each segment of sub-area in the pre-construction tunnel as ca ij ；
Measuring the internal friction angle of the soil sample of each depth layer above each section of sub-area in the pre-construction tunnel through a test, and marking the internal friction angle of the soil sample of each depth layer above each section of sub-area in the pre-construction tunnel as
Counting the maximum depth of the soil of each depth layer above each section of sub-area in the pre-construction tunnel from the ground, and marking the maximum depth of the soil of each depth layer above each section of sub-area in the pre-construction tunnel from the ground as h max a ij ；
Analyzing soil pressure Fa corresponding to each depth layer above each segment of sub-area in pre-construction tunnel ij Wherein the analysis formula of the soil corresponding to the soil pressure of each depth layer above each section of sub-area in the pre-construction tunnel is as followsγ ij Expressed as soil weight, H, corresponding to each depth layer of soil above each segment of sub-area in the pre-construction tunnel Pre-preparation And the representation is that the tunnel excavation depth in the tunnel construction plan is preset.
Optionally, the analyzing in the tunnel top interval statistics module obtains the soil stress corresponding to each depth layer above each section of sub-area in the pre-construction tunnel, specifically including:
counting the distance delta h' a between the soil center point of each depth layer above each section of sub-area in the pre-construction tunnel and the top of the tunnel ij ；
The soil gravity gamma of the soil of each depth layer above each segment of sub-area in the pre-construction tunnel is corresponding to ij Substituting formula sigma a ij ＝μ*γ ij *Δh′a ij Obtaining the soil stress sigma corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel ij Wherein μ is expressed asAnd the static soil pressure coefficient corresponding to the standard soil.
Optionally, the water pressure analysis mode corresponding to each depth layer soil above each section of sub-area in the pre-construction tunnel in the soil water content detection module is as follows:
detecting the water content of the soil sample of each depth layer above each section of sub-area in the pre-construction tunnel, and marking the water content of the soil sample of each depth layer above each section of sub-area in the pre-construction tunnel as qa ij ；
Extracting standard permeability coefficients corresponding to various types of soil stored in a storage database, screening standard permeability coefficients corresponding to the soil of each depth layer above each segment of sub-region in the pre-construction tunnel, and marking the standard permeability coefficients corresponding to the soil of each depth layer above each segment of sub-region in the pre-construction tunnel as theta ij ；
Extracting tunnel excavation width d in preset tunnel construction plan Pre-preparation Tunnel length L Pre-preparation Analyzing the corresponding volume of each depth layer soil above each section of sub-area in the pre-construction tunnelWherein h is Setting up The set depth is expressed as the soil of each depth layer;
analyzing the corresponding water pressure Pa of soil of each depth layer above each section of sub-area in the pre-construction tunnel ij Wherein the calculation formula of the corresponding water pressure of the soil of each depth layer above each section of sub-area in the pre-construction tunnel is Pa ij ＝qa ij *θ ij *γ′ Water and its preparation method *Va ij ，γ′ Water and its preparation method Expressed as standard gravity of water.
Optionally, the construction soil pressure analysis module analyzes construction soil pressure born by the excavation surface of each section of sub-area in the pre-construction tunnel, and specifically includes:
corresponding soil pressure Fa of soil of each depth layer above each section of sub-area in pre-construction tunnel ij Soil stress sigma of soil of each depth layer above each segment sub-area in pre-construction tunnel ij The soil of each depth layer above each section of sub-area in the pre-construction tunnel corresponds to the water pressure Pa ij Substitution formulaObtaining construction soil pressure G born by excavation surfaces of all sections of sub-areas in pre-construction tunnel i 。
Optionally, the excavated surface soil parameter detection module randomly samples excavated surface soil of each section of sub-area in the pre-construction tunnel, and detects relevant parameters of each excavated surface soil sample in each section of sub-area in the pre-construction tunnel, and specifically includes:
randomly sampling the excavated surface soil of each section of sub-area in the pre-construction tunnel to obtain each excavated surface soil sample in each section of sub-area in the pre-construction tunnel, and sequentially marking each excavated surface soil sample in each section of sub-area in the pre-construction tunnel as a i b r Where r=1, 2, u, and the number of sampled samples in each segment of sub-region is the same, simultaneously, the volumes of all sampling samples are the same;
detecting the soil cohesion of the soil samples of each excavation face in each section of subarea in the pre-construction tunnel through a test, and marking the soil cohesion of the soil samples of each excavation face in each section of subarea in the pre-construction tunnel as c i ′b r ；
Detecting the internal friction angle of each excavated surface soil sample in each section of subarea in the pre-construction tunnel through a test, and marking the internal friction angle of each excavated surface soil sample in each section of subarea in the pre-construction tunnel as。
Optionally, the tunnel excavation face supporting force analysis module analyzes the excavation face supporting force of each section of sub-area in the pre-construction tunnel, and specifically comprises the following steps:
extracting a standard support force stability index delta stored in a storage database;
construction soil pressure G born by excavation surfaces of all sections of sub-areas in pre-construction tunnel i Soil cohesion c of soil samples of each excavation face in each section of subarea in pre-constructed tunnel i ′b r Sub-areas of each segment in a pre-constructed tunnelInternal friction angle of soil sample of each excavation surfaceSubstitution formula->Obtaining the excavation surface supporting force psi of each section of sub-area in the pre-construction tunnel i Where u represents the number of sampled samples in a single sub-region.
Optionally, the tunnel excavation face state analysis module analyzes the excavation face instability coefficient of each section of sub-area in the pre-construction tunnel, and compares and analyzes the state of the excavation face of the pre-construction tunnel, and the concrete steps are as follows:
the soil gravity gamma of the soil of each depth layer above each segment of sub-area in the pre-construction tunnel is corresponding to ij Volume Va corresponding to soil of each depth layer above each section of sub-area in pre-construction tunnel ij Construction soil pressure G born by excavation surfaces of sub-areas of each section in pre-construction tunnel i Excavation face supporting force psi of each section of sub-area in pre-construction tunnel i Instability model for excavation face of substituted tunnelObtaining the instability coefficient xi of the excavation surface of each section of sub-area in the pre-construction tunnel i Wherein lambda is expressed as a tunnel excavation face instability correction index;
comparing the instability coefficient of the excavation surface of each section of sub-area in the pre-construction tunnel with a preset safety instability coefficient threshold value, if the instability coefficient of the excavation surface of each section of sub-area in the pre-construction tunnel is smaller than or equal to the preset safety instability coefficient threshold value, the excavation surface of the pre-construction tunnel is in a stable state, and if the instability coefficient of the excavation surface of a section of sub-area in the pre-construction tunnel is larger than the preset safety instability coefficient threshold value, the excavation surface of the pre-construction tunnel is in a instability state.
As described above, the intelligent analysis system for the tunnel excavation face instability model simulation test based on big data provided by the invention has at least the following beneficial effects:
according to the intelligent analysis system for the simulation test of the tunnel excavation surface instability model based on big data, which is provided by the invention, the soil severity corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel is obtained, so that the soil type condition of each section of sub-area in the pre-construction tunnel can be truly reflected, reliable reference data is provided for later analysis of the construction soil pressure born by the tunnel excavation surface, relevant parameters of soil samples of each depth layer above each section of sub-area in the pre-construction tunnel are tested, the soil pressure and the soil stress of the soil of each depth layer above each section of sub-area in the pre-construction tunnel are analyzed, the possibility of changing test data can be effectively reduced through real soil data, the difference between the test data and the real data is reduced, meanwhile, the construction soil pressure born by each section of sub-area above each section of sub-area in the pre-construction tunnel is comprehensively analyzed, the accuracy and the reliability of the stability state of the tunnel excavation surface are improved, the occurrence rate of the construction surface instability of the tunnel construction surface in later analysis is reduced, and the construction progress and the construction period of the tunnel is not influenced is ensured.
According to the intelligent analysis system for the tunnel excavation face instability model simulation test based on big data, provided by the invention, the excavation face supporting force of each section of sub-area in the pre-construction tunnel is obtained by detecting the relevant parameters of each excavation face soil sample in each section of sub-area in the pre-construction tunnel, so that the instability influence of the excavation face supporting force can be accurately analyzed by combining actual data, the problem of ground settlement caused by the instability damage of the tunnel excavation face in the later construction process is avoided, the normal living environment of surrounding people is ensured, meanwhile, the excavation face instability coefficient of each section of sub-area in the pre-construction tunnel is comprehensively analyzed, the state of the pre-construction tunnel excavation face is compared and analyzed, and the state of the pre-construction tunnel excavation face is displayed, so that the stable state of the pre-construction tunnel excavation face is intuitively displayed, and the stability model test result of the tunnel face instability is conveniently counted by relevant personnel.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of the module connection of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made with reference to the accompanying drawings, in which it is evident that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides an intelligent analysis system for a tunnel excavation face instability model simulation test based on big data, which comprises a tunnel excavation region dividing module, a soil type obtaining module, a soil pressure analysis module, a tunnel top interval counting module, a soil water content detection module, a construction soil pressure analysis module, an excavation face soil parameter detection module, a tunnel excavation face supporting force analysis module, a tunnel excavation face state analysis module and a storage database.
The tunnel excavation region dividing module is used for dividing the excavation region of the pre-constructed tunnel into all sections of sub-regions and dividing soil above all sections of sub-regions in the pre-constructed tunnel into all depth layer soil.
In the preferred technical scheme of this application, divide into each section subregion with the excavation region of pre-construction tunnel in the tunnel excavation region division module to divide into each depth layer soil to each section subregion top soil in the pre-construction tunnel, specifically include:
dividing the excavation area of the pre-constructed tunnel into sub-areas of each section according to the length of the pre-constructed tunnel in an equal division mode, and respectively marking the sub-areas of each section in the pre-constructed tunnel as a i Wherein i=1, 2, n;
pre-construction tunneling according to set equidistant soil depth division modeDividing soil above each segment of sub-area in the tunnel into soil with each depth layer, and respectively marking the soil with each depth layer above each segment of sub-area in the pre-constructed tunnel as a ij Where j=1, 2,..m.
The soil type acquisition module is used for sampling soil of each depth layer above each section of sub-area in the pre-construction tunnel, analyzing the soil types corresponding to each depth layer above each section of sub-area in the pre-construction tunnel, and obtaining the soil weights corresponding to each depth layer above each section of sub-area in the pre-construction tunnel.
In the preferred technical scheme of the application, the soil type obtaining module obtains the soil severity corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel, and the specific obtaining mode is as follows:
sampling soil of each depth layer above each section of sub-area in the pre-construction tunnel randomly through a soil sampler to obtain soil samples of each depth layer above each section of sub-area in the pre-construction tunnel;
acquiring images of soil samples of each depth layer above each section of sub-area in the pre-construction tunnel through a first high-definition camera, comparing the images of the soil samples of each depth layer above each section of sub-area in the pre-construction tunnel with preset standard images corresponding to each soil type, and screening soil types corresponding to each depth layer soil sample above each section of sub-area in the pre-construction tunnel;
extracting the preset soil types corresponding to standard soil weights, screening the soil weights corresponding to the soil samples of the depth layers above the sub-areas of each section in the pre-construction tunnel, taking the soil weights as the soil weights corresponding to the soil of the depth layers above the sub-areas of each section in the pre-construction tunnel, and marking the soil weights corresponding to the soil of the depth layers above the sub-areas of each section in the pre-construction tunnel as gamma ij 。
In one possible design, the screening method for the soil type corresponding to the soil sample of each depth layer above each segment of sub-area in the pre-construction tunnel is as follows:
comparing the soil sample images of the depth layers above the sub-areas in the pre-construction tunnel with preset standard images corresponding to the soil types, counting the similarity between the soil sample images of the depth layers above the sub-areas in the pre-construction tunnel and the standard images corresponding to the soil types, screening the soil type with the highest similarity corresponding to the soil sample images of the depth layers above the sub-areas in the pre-construction tunnel, and obtaining the soil type corresponding to the soil sample of the depth layers above the sub-areas in the pre-construction tunnel.
In the embodiment, the soil of each depth layer above each section of sub-area in the pre-construction tunnel is sampled to obtain the soil weight corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel, so that the soil type condition of the pre-construction tunnel area can be truly reflected, and reliable reference data is provided for later analysis of the construction soil pressure borne by the tunnel excavation surface.
The soil pressure analysis module is used for testing relevant parameters of soil samples of each depth layer above each section of sub-area in the pre-construction tunnel and analyzing soil corresponding to the soil pressure of each depth layer above each section of sub-area in the pre-construction tunnel.
In the preferred technical scheme of this application, detect the relevant parameter of each degree of depth layer soil sample above each section subregion in the construction tunnel in advance in the soil pressure analysis module, each degree of depth layer soil corresponds the soil pressure above each section subregion in the analysis construction tunnel specifically includes:
determining the soil cohesion of the soil samples of each depth layer above each segment of sub-area in the pre-construction tunnel through experiments, and marking the soil cohesion of the soil samples of each depth layer above each segment of sub-area in the pre-construction tunnel as ca ij ；
Measuring the internal friction angle of the soil sample of each depth layer above each section of sub-area in the pre-construction tunnel through a test, and marking the internal friction angle of the soil sample of each depth layer above each section of sub-area in the pre-construction tunnel as；
Counting the maximum depth of the soil of each depth layer above each section of sub-area in the pre-construction tunnel from the ground, and setting the soil of each depth layer above each section of sub-area in the pre-construction tunnelThe maximum depth of the soil from the ground is marked as h max a ij ；
Analyzing soil pressure Fa corresponding to each depth layer above each segment of sub-area in pre-construction tunnel ij Wherein the analysis formula of the soil corresponding to the soil pressure of each depth layer above each section of sub-area in the pre-construction tunnel is as followsγ ij Expressed as soil weight, H, corresponding to each depth layer of soil above each segment of sub-area in the pre-construction tunnel Pre-preparation And the representation is that the tunnel excavation depth in the tunnel construction plan is preset.
In one possible design, the soil cohesion and the internal friction angle of the soil sample of each depth layer above each segment of sub-area in the pre-construction tunnel are measured through the test, and the specific test measurement mode is as follows:
dividing soil samples of a certain depth layer above a certain section of sub-area in a pre-constructed tunnel into three parts, wrapping the soil samples with emulsion films respectively, fixing one part of the soil samples in a pressure chamber of a triaxial shear tester, injecting gas into the pressure chamber to enable the soil samples to be subjected to fixed confining pressure, marking the soil samples as small principal stress, then applying vertical pressure on a piston rod at the upper end of the pressure chamber until the soil samples are sheared and damaged, determining the large principal stress to which the soil samples are subjected, and drawing a Morse circle according to the small principal stress and the large principal stress;
according to the method, other two soil samples are measured, other two Moire circles are drawn, and common tangent lines of three different Moire circles are drawn above a coordinate axis, wherein the included angle between the common tangent line and the horizontal direction is a friction angle in soil, and the intercept between the common tangent line and the vertical direction is soil cohesive force.
In one possible design, the maximum depth of the soil of each depth layer above each segment of the sub-area from the ground is the depth of the bottom edge of the soil of each depth layer above each segment of the sub-area from the ground.
The tunnel top interval counting module is used for counting the interval between the center point of each depth layer soil above each section of sub-area in the pre-construction tunnel and the top of the tunnel, and analyzing to obtain the soil stress corresponding to each depth layer soil above each section of sub-area in the pre-construction tunnel.
In the preferred technical scheme of the application, the soil stress corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel is obtained by analysis in the tunnel top interval statistical module, and the method specifically comprises the following steps:
counting the distance delta h' a between the soil center point of each depth layer above each section of sub-area in the pre-construction tunnel and the top of the tunnel ij Wherein the interval analysis formula of the soil center point of each depth layer above each section of sub-area in the pre-construction tunnel from the top of the tunnel is as followsH Pre-preparation Expressed as the depth of tunnel excavation in a preset tunnel construction plan, h Label (C) "expressed as the standard height of the tunnel in the preset tunnel construction plan, h Setting up The set depth is expressed as the set depth of each deep soil layer;
the soil gravity gamma of the soil of each depth layer above each segment of sub-area in the pre-construction tunnel is corresponding to ij Substituting formula sigma a ij ＝μ*γ ij *Δh′a ij Obtaining soil stress sigma of soil of each depth layer above each segment of sub-area in the pre-construction tunnel ij Where μ is expressed as the resting soil pressure coefficient corresponding to standard soil.
In the embodiment, the method and the device analyze the soil pressure and the soil stress of the soil of each depth layer above each section of sub-area in the pre-construction tunnel by testing the related parameters of the soil sample of each depth layer above each section of sub-area in the pre-construction tunnel, so that the possibility of changing test data can be effectively reduced through real soil data, and the difference between the test data and real data is reduced.
The soil moisture content detection module is used for detecting the moisture content of soil samples of each depth layer above each section of sub-area in the pre-construction tunnel, and analyzing and obtaining the corresponding water pressure of soil of each depth layer above each section of sub-area in the pre-construction tunnel.
In the preferred technical scheme of this application, each depth layer soil corresponds the water pressure analysis mode in each section subzone top in the soil moisture content detection module construction tunnel in advance does:
detecting the water content of the soil sample of each depth layer above each segment of sub-area in the pre-construction tunnel by a soil water content detector, and marking the water content of the soil sample of each depth layer above each segment of sub-area in the pre-construction tunnel as qa ij ；
Extracting standard permeability coefficients corresponding to various types of soil stored in a storage database, screening standard permeability coefficients corresponding to the soil of each depth layer above each segment of sub-region in the pre-construction tunnel, and marking the standard permeability coefficients corresponding to the soil of each depth layer above each segment of sub-region in the pre-construction tunnel as theta ij ；
Extracting tunnel excavation width d in preset tunnel construction plan Pre-preparation Tunnel length L Pre-preparation Analyzing the corresponding volume of each depth layer soil above each section of sub-area in the pre-construction tunnelWherein h is Setting up The set depth is expressed as the soil of each depth layer;
analyzing the corresponding water pressure Pa of soil of each depth layer above each section of sub-area in the pre-construction tunnel ij Wherein the calculation formula of the corresponding water pressure of the soil of each depth layer above each section of sub-area in the pre-construction tunnel is Pa ij ＝qa ij *θ ij *γ′ Water and its preparation method *Va ij ，γ′ Water and its preparation method Expressed as standard gravity of water.
The construction soil pressure analysis module is used for analyzing construction soil pressure borne by excavation faces of all sections of sub-areas in the pre-construction tunnel, and specifically comprises the following steps:
corresponding soil pressure Fa of soil of each depth layer above each section of sub-area in pre-construction tunnel ij Soil stress sigma of soil of each depth layer above each segment sub-area in pre-construction tunnel ij The soil of each depth layer above each section of sub-area in the pre-construction tunnel corresponds to the water pressure Pa ij Substitution formulaObtaining construction soil pressure G born by excavation surfaces of all sections of sub-areas in pre-construction tunnel i 。
In the embodiment, the water content of the soil sample of each depth layer above each section of sub-area in the pre-construction tunnel is detected to obtain the corresponding water pressure of the soil of each depth layer above each section of sub-area in the pre-construction tunnel, and the construction soil pressure born by the excavation face of each section of sub-area in the pre-construction tunnel is comprehensively analyzed, so that the accuracy and reliability of the stable state of the excavation face of the post-analysis tunnel are improved, the occurrence rate of instability of the excavation face during the construction of the post-analysis tunnel is reduced, and the construction progress and construction period of tunnel engineering are ensured not to be influenced.
The excavation face soil parameter detection module is used for randomly sampling excavation face soil of each section of sub-area in the pre-construction tunnel and detecting relevant parameters of each excavation face soil sample in each section of sub-area in the pre-construction tunnel.
In the preferred technical scheme of this application, carry out the random sampling to the excavation face soil of each section subregion in the tunnel of pre-construction in the excavation face soil parameter detection module, detect the relevant parameter of each excavation face soil sample in each section subregion in the tunnel of pre-construction, specifically include:
randomly sampling the excavated surface soil of each section of sub-area in the pre-construction tunnel through a soil sampler to obtain each excavated surface soil sample in each section of sub-area in the pre-construction tunnel, and sequentially marking each excavated surface soil sample in each section of sub-area in the pre-construction tunnel as a i b r Where r=1, 2, u, and the number of samples in each segment of sub-area is the same, simultaneously, the volumes of all sampling samples are the same;
detecting the soil cohesion of the soil samples of each excavation face in each section of subarea in the pre-construction tunnel through a test, and marking the soil cohesion of the soil samples of each excavation face in each section of subarea in the pre-construction tunnel as c i ′b r ；
Detecting internal friction angles of soil samples of each excavation surface in each section of subarea in the pre-construction tunnel through experiments, and carrying out internal friction on the soil samples of each excavation surface in each section of subarea in the pre-construction tunnelThe wiping angle is marked as。
The tunnel excavation face supporting force analysis module is used for extracting standard supporting force stability indexes stored in a storage database and analyzing the excavation face supporting force of each section of sub-area in the pre-construction tunnel.
In the preferred technical scheme of the application, the tunnel excavation face supporting force analysis module analyzes the excavation face supporting force of each section of sub-area in the pre-construction tunnel, and the concrete steps are as follows:
extracting a standard support force stability index delta stored in a storage database;
construction soil pressure G born by excavation surfaces of all sections of sub-areas in pre-construction tunnel i Soil cohesion c of soil samples of each excavation face in each section of subarea in pre-constructed tunnel i ′b r Internal friction angle of soil sample of each excavation face in each section of subarea in pre-construction tunnelSubstitution formula->Obtaining the excavation surface supporting force psi of each section of sub-area in the pre-construction tunnel i Where u represents the number of sampled samples in a single sub-region.
In the embodiment, the excavation face soil of each section of sub-area in the pre-construction tunnel is randomly sampled, and the relevant parameters of each excavation face soil sample in each section of sub-area in the pre-construction tunnel are detected, so that the excavation face supporting force of each section of sub-area in the pre-construction tunnel is obtained, the destabilization influence of the excavation face supporting force can be accurately analyzed by combining with actual data, the problem of subsidence of the ground caused by destabilization damage of the tunnel excavation face in the later construction process is avoided, and the normal living environment of surrounding people is ensured.
The tunnel excavation face state analysis module is used for analyzing the excavation face instability coefficients of all the sections of sub-areas in the pre-construction tunnel, comparing and analyzing the state of the excavation face of the pre-construction tunnel and displaying the state.
In the preferred technical scheme of the application, the excavation face instability coefficient of each section of sub-area in the pre-construction tunnel is analyzed in the tunnel excavation face state analysis module, and the state of the excavation face of the pre-construction tunnel is compared and analyzed, and the method comprises the following specific steps:
the soil gravity gamma of the soil of each depth layer above each segment of sub-area in the pre-construction tunnel is corresponding to ij Volume Va corresponding to soil of each depth layer above each section of sub-area in pre-construction tunnel ij Construction soil pressure G born by excavation surfaces of sub-areas of each section in pre-construction tunnel i Excavation face supporting force psi of each section of sub-area in pre-construction tunnel i Instability model for excavation face of substituted tunnelObtaining the instability coefficient xi of the excavation surface of each section of sub-area in the pre-construction tunnel i Wherein lambda is expressed as a tunnel excavation face instability correction index;
comparing the instability coefficient of the excavation surface of each section of sub-area in the pre-construction tunnel with a preset safety instability coefficient threshold value, if the instability coefficient of the excavation surface of each section of sub-area in the pre-construction tunnel is smaller than or equal to the preset safety instability coefficient threshold value, the excavation surface of the pre-construction tunnel is in a stable state, and if the instability coefficient of the excavation surface of a section of sub-area in the pre-construction tunnel is larger than the preset safety instability coefficient threshold value, the excavation surface of the pre-construction tunnel is in a instability state.
In the embodiment, the stability coefficient of the excavation face of each section of sub-area in the pre-construction tunnel is comprehensively analyzed, the state of the excavation face of the pre-construction tunnel is compared and analyzed, and the state of the excavation face of the pre-construction tunnel is displayed, so that the stable state of the excavation face of the pre-construction tunnel is intuitively displayed, and the stability model test result of the excavation face of the tunnel is conveniently counted by related personnel.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, by those skilled in the art, or similar thereto, without departing from the principles of the invention or beyond the scope of the appended claims.
Claims (10)
1. The utility model provides a tunnel excavation face unstability model analogue test intelligent analysis system based on big data which characterized in that: the system comprises a tunnel excavation area dividing module, a soil type obtaining module, a soil pressure analyzing module, a tunnel top interval counting module, a soil water content detecting module, a construction soil pressure analyzing module, an excavation face soil parameter detecting module, a tunnel excavation face supporting force analyzing module, a tunnel excavation face state analyzing module and a storage database;
the tunnel excavation region dividing module is used for dividing an excavation region of the pre-constructed tunnel into each section of sub-region and dividing soil above each section of sub-region in the pre-constructed tunnel into each depth layer of soil;
the soil type acquisition module is used for sampling the soil of each depth layer above each section of sub-area in the pre-construction tunnel, analyzing the soil types corresponding to each depth layer above each section of sub-area in the pre-construction tunnel, and obtaining the soil weights corresponding to each depth layer above each section of sub-area in the pre-construction tunnel;
the soil pressure analysis module is used for testing relevant parameters of soil samples of each depth layer above each section of sub-area in the pre-construction tunnel and analyzing the corresponding soil pressure of soil of each depth layer above each section of sub-area in the pre-construction tunnel;
the tunnel top interval counting module is used for counting the interval between the soil center point of each depth layer above each section of sub-area in the pre-construction tunnel and the top of the tunnel, and analyzing to obtain the soil stress corresponding to each depth layer above each section of sub-area in the pre-construction tunnel;
the soil moisture content detection module is used for detecting the moisture content of soil samples of each depth layer above each section of sub-area in the pre-construction tunnel and analyzing to obtain the corresponding water pressure of soil of each depth layer above each section of sub-area in the pre-construction tunnel;
the construction soil pressure analysis module is used for analyzing construction soil pressure born by the excavation surface of each section of sub-area in the pre-construction tunnel;
the excavation face soil parameter detection module is used for randomly sampling excavation face soil of each section of sub-area in the pre-construction tunnel and detecting relevant parameters of each excavation face soil sample in each section of sub-area in the pre-construction tunnel;
the tunnel excavation face supporting force analysis module is used for extracting standard supporting force stability indexes stored in a storage database and analyzing the excavation face supporting force of each section of sub-area in the pre-construction tunnel;
the tunnel excavation face state analysis module is used for analyzing the excavation face instability coefficients of all the sections of sub-areas in the pre-construction tunnel, comparing and analyzing the state of the excavation face of the pre-construction tunnel and displaying the state.
2. The intelligent analysis system for the tunnel excavation face instability model simulation test based on big data according to claim 1, wherein the intelligent analysis system is characterized in that: the tunnel excavation region division module divides an excavation region of a pre-constructed tunnel into sub-regions of each section, and divides soil above the sub-regions of each section in the pre-constructed tunnel into soil of each depth layer, and specifically comprises the following steps:
dividing the excavation area of the pre-constructed tunnel into sub-areas of each section according to the length of the pre-constructed tunnel in an equal division mode, and respectively marking the sub-areas of each section in the pre-constructed tunnel as a i Wherein i=1, 2, n;
dividing soil above each section of sub-area in the pre-construction tunnel into soil with each depth layer according to a set equidistant soil depth dividing mode, and respectively marking the soil with each depth layer above each section of sub-area in the pre-construction tunnel as a ij Where j=1, 2,..m.
3. The intelligent analysis system for the tunnel excavation face instability model simulation test based on big data according to claim 1, wherein the intelligent analysis system is characterized in that: the soil type obtaining module obtains the soil weight corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel, and the concrete obtaining mode is as follows:
sampling soil of each depth layer above each section of sub-area in the pre-construction tunnel at random to obtain soil samples of each depth layer above each section of sub-area in the pre-construction tunnel;
collecting images of soil samples of each depth layer above each section of sub-area in the pre-construction tunnel, comparing the images of the soil samples of each depth layer above each section of sub-area in the pre-construction tunnel with preset standard images corresponding to each soil type, and screening the soil samples of each depth layer above each section of sub-area in the pre-construction tunnel to correspond to the soil type;
extracting the preset soil types corresponding to standard soil weights, screening the soil weights corresponding to the soil samples of the depth layers above the sub-areas of each section in the pre-construction tunnel, taking the soil weights as the soil weights corresponding to the soil of the depth layers above the sub-areas of each section in the pre-construction tunnel, and marking the soil weights corresponding to the soil of the depth layers above the sub-areas of each section in the pre-construction tunnel as gamma ij 。
4. The intelligent analysis system for the tunnel excavation face instability model simulation test based on big data according to claim 1, wherein the intelligent analysis system is characterized in that: the soil pressure analysis module detects relevant parameters of soil samples of each depth layer above each section of sub-area in the pre-construction tunnel, and analyzes soil corresponding to the soil pressure of each depth layer above each section of sub-area in the pre-construction tunnel, and specifically comprises the following steps:
determining the soil cohesion of the soil samples of each depth layer above each segment of sub-area in the pre-construction tunnel through experiments, and marking the soil cohesion of the soil samples of each depth layer above each segment of sub-area in the pre-construction tunnel as ca ij ；
Measuring the internal friction angle of the soil sample of each depth layer above each section of sub-area in the pre-construction tunnel through a test, and marking the internal friction angle of the soil sample of each depth layer above each section of sub-area in the pre-construction tunnel as
Counting the maximum depth of soil of each depth layer above each segment of sub-area in the pre-construction tunnel from the ground, and determining each depth above each segment of sub-area in the pre-construction tunnelThe maximum depth of the layer soil from the ground is marked as h max a ij ；
Analyzing soil pressure Fa corresponding to each depth layer above each segment of sub-area in pre-construction tunnel ij Wherein the analysis formula of the soil corresponding to the soil pressure of each depth layer above each section of sub-area in the pre-construction tunnel is as followsγ ij Expressed as soil weight, H, corresponding to each depth layer of soil above each segment of sub-area in the pre-construction tunnel Pre-preparation And the representation is that the tunnel excavation depth in the tunnel construction plan is preset.
5. The intelligent analysis system for the tunnel excavation face instability model simulation test based on big data according to claim 1, wherein the intelligent analysis system is characterized in that: analyzing in the tunnel top interval statistics module to obtain soil stress corresponding to each depth layer soil above each section of sub-area in the pre-construction tunnel, specifically comprising:
counting the distance delta h' a between the soil center point of each depth layer above each section of sub-area in the pre-construction tunnel and the top of the tunnel ij ；
The soil gravity gamma of the soil of each depth layer above each segment of sub-area in the pre-construction tunnel is corresponding to ij Substituting formula sigma a ij ＝μ*γ ij *Δh′a ij Obtaining the soil stress sigma corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel ij Where μ is expressed as the resting soil pressure coefficient corresponding to standard soil.
6. The intelligent analysis system for the tunnel excavation face instability model simulation test based on big data according to claim 1, wherein the intelligent analysis system is characterized in that: the corresponding water pressure analysis mode of the soil of each depth layer above each section of sub-area in the pre-construction tunnel in the soil water content detection module is as follows:
detecting the water content of the soil sample of each depth layer above each section of sub-area in the pre-construction tunnel, and marking the water content of the soil sample of each depth layer above each section of sub-area in the pre-construction tunnel as qa ij ；
Extracting standard permeability coefficients corresponding to various types of soil stored in a storage database, screening standard permeability coefficients corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel, and marking the standard permeability coefficients corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel as theta ij ；
Extracting tunnel excavation width d in preset tunnel construction plan Pre-preparation Tunnel length L Pre-preparation Analyzing the corresponding volume of each depth layer soil above each section of sub-area in the pre-construction tunnelWherein h is Setting up The set depth is expressed as the soil of each depth layer;
analyzing the corresponding water pressure Pa of soil of each depth layer above each section of sub-area in the pre-construction tunnel ij Wherein the calculation formula of the corresponding water pressure of the soil of each depth layer above each section of sub-area in the pre-construction tunnel is Pa ij ＝qa ij *θ ij *γ′ Water and its preparation method *Va ij ，γ′ Water and its preparation method Expressed as standard gravity of water.
7. The intelligent analysis system for the tunnel excavation face instability model simulation test based on big data according to claim 1, wherein the intelligent analysis system is characterized in that: the construction soil pressure analysis module is used for analyzing construction soil pressure born by excavation surfaces of all sections of sub-areas in the pre-construction tunnel, and specifically comprises the following steps:
corresponding soil pressure Fa of soil of each depth layer above each section of sub-area in pre-construction tunnel ij Soil stress sigma of soil of each depth layer above each segment sub-area in pre-construction tunnel ij The soil of each depth layer above each section of sub-area in the pre-construction tunnel corresponds to the water pressure Pa ij Substitution formulaObtaining construction soil pressure G born by excavation surfaces of all sections of sub-areas in pre-construction tunnel i 。
8. The intelligent analysis system for the tunnel excavation face instability model simulation test based on big data according to claim 1, wherein the intelligent analysis system is characterized in that: the excavation face soil parameter detection module is used for randomly sampling excavation face soil of each section of sub-area in the pre-construction tunnel, and detecting relevant parameters of each excavation face soil sample in each section of sub-area in the pre-construction tunnel, and specifically comprises the following steps:
randomly sampling the excavated surface soil of each section of sub-area in the pre-construction tunnel to obtain each excavated surface soil sample in each section of sub-area in the pre-construction tunnel, and sequentially marking each excavated surface soil sample in each section of sub-area in the pre-construction tunnel as a i b r Where r=1, 2, u, and the number of sampled samples in each segment of sub-region is the same, simultaneously, the volumes of all sampling samples are the same;
detecting soil cohesion of soil samples of each excavation face in each section of subarea in the pre-construction tunnel through a test, and marking the soil cohesion of the soil samples of each excavation face in each section of subarea in the pre-construction tunnel as c' i b r ；
Detecting the internal friction angle of each excavated surface soil sample in each section of subarea in the pre-construction tunnel through a test, and marking the internal friction angle of each excavated surface soil sample in each section of subarea in the pre-construction tunnel as
9. The intelligent analysis system for the tunnel excavation face instability model simulation test based on big data according to claim 1, wherein the intelligent analysis system is characterized in that: the tunnel excavation face supporting force analysis module is used for analyzing the excavation face supporting force of each section of sub-area in the pre-construction tunnel, and specifically comprises the following steps:
extracting a standard support force stability index delta stored in a storage database;
construction soil pressure G born by excavation surfaces of all sections of sub-areas in pre-construction tunnel i Soil samples of each excavation face in each section of subarea in pre-construction tunnelSoil cohesion c' i b r Internal friction angle of soil sample of each excavation face in each section of subarea in pre-construction tunnelSubstitution formula->Obtaining the excavation surface supporting force psi of each section of sub-area in the pre-construction tunnel i Where u represents the number of sampled samples in a single sub-region.
10. The intelligent analysis system for the tunnel excavation face instability model simulation test based on big data according to claim 1, wherein the intelligent analysis system is characterized in that: the tunnel excavation face state analysis module is used for analyzing the excavation face instability coefficient of each section of sub-area in the pre-construction tunnel, and comparing and analyzing the state of the excavation face of the pre-construction tunnel, and specifically comprises the following steps:
the soil gravity gamma of the soil of each depth layer above each segment of sub-area in the pre-construction tunnel is corresponding to ij Volume Va corresponding to soil of each depth layer above each section of sub-area in pre-construction tunnel ij Construction soil pressure G born by excavation surfaces of sub-areas of each section in pre-construction tunnel i Excavation face supporting force psi of each section of sub-area in pre-construction tunnel i Unstability model of substituted tunnel excavation faceObtaining the instability coefficient xi of the excavation surface of each section of sub-area in the pre-construction tunnel i Wherein lambda is expressed as a tunnel excavation face instability correction index;
comparing the instability coefficient of the excavation face of each section of sub-area in the pre-construction tunnel with a preset safety instability coefficient threshold value, if the instability coefficient of the excavation face of each section of sub-area in the pre-construction tunnel is smaller than or equal to the preset safety instability coefficient threshold value, the excavation face of the pre-construction tunnel is in a stable state, and if the instability coefficient of the excavation face of a section of sub-area in the pre-construction tunnel is larger than the preset safety instability coefficient threshold value, the excavation face of the pre-construction tunnel is in a destabilizing state.
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