CN114280273A - Big data-based intelligent analysis system for tunnel excavation face instability model simulation test - Google Patents
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Abstract
The invention discloses a big data-based intelligent analysis system for a tunnel excavation face instability model simulation test, which comprises a tunnel excavation region division module, a soil type acquisition module, a soil pressure analysis module, a tunnel top distance 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 support force analysis module, a tunnel excavation face state analysis module and a storage database. According to the method, the construction soil pressure born by the excavation surface of each section of sub-region in the pre-construction tunnel and the supporting force of the excavation surface of each section of sub-region are obtained by detecting real soil data, and the instability coefficient of the excavation surface of each section of sub-region in the pre-construction tunnel is analyzed according to the instability model of the excavation surface of the tunnel, 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 incidence rate of instability of the excavation surface during later tunnel construction is reduced.
Description
Technical Field
The invention relates to the field of tunnel excavation face instability analysis, in particular to a tunnel excavation face instability model simulation test intelligent analysis system based on big data.
Background
The tunnel excavation construction technology becomes a main means of urban underground construction by virtue of own advantages, 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 due to the convenience in controlling test parameters and better economy. The design size and the model soil of a model are determined according to a similarity ratio in an existing tunnel excavation surface stability model test, an excavation surface instability damage process is simulated by adopting an excavation surface displacement mode, the instability influence of excavation surface displacement can only be analyzed in the test, and the instability influence of excavation surface supporting force can not be accurately analyzed by combining actual data, so that the instability damage of the tunnel excavation surface is caused to be incomplete in accordance with actual working conditions, overlarge ground settlement is caused due to the fact that the supporting force is insufficient in the later construction process, serious damage is brought to the surrounding environment, and the normal life of surrounding people is influenced.
Meanwhile, the existing tunnel excavation surface stability model test adopts a probing type measuring tool to measure test data, and the problem that the test data of model soil changes exists, so that the test data and the actual data have large difference, the accuracy and the reliability of tunnel excavation surface stable state analysis are reduced, the incidence rate of excavation surface instability during later tunnel construction 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 tunnel excavation face instability model simulation test 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 objects and other objects, the present invention adopts the following technical solutions:
a tunnel excavation face instability model simulation test intelligent analysis system based on big data comprises a tunnel excavation region dividing module, a soil type obtaining module, a soil pressure analysis module, a tunnel top space 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 the excavation region of the pre-constructed tunnel into sub-regions of each section and dividing soil above the sub-regions of each section in the pre-constructed tunnel into soil of each depth layer;
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 type corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel and acquiring the soil gravity corresponding to the soil of 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-constructed tunnel and analyzing the soil pressure corresponding to each depth layer above each section of sub-area in the pre-constructed tunnel;
the tunnel top distance counting module is used for counting the distance between the central point of each depth layer soil above each section of sub-region in the pre-constructed 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-region in the pre-constructed tunnel;
the soil water content detection module is used for detecting the water 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 the 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 the construction soil pressure borne by the excavation surface of each section of sub-area in the pre-construction tunnel;
the excavation surface soil parameter detection module is used for randomly sampling excavation surface soil of each sub-area in the pre-constructed tunnel and detecting relevant parameters of each excavation surface soil sample in each sub-area in the pre-constructed tunnel;
the tunnel excavation face supporting force analysis module is used for extracting the standard supporting force stability index stored in the storage database and analyzing the excavation face supporting force of each section of sub-area in the pre-constructed tunnel;
and the tunnel excavation surface state analysis module is used for analyzing the excavation surface instability coefficient of each sub-area in the pre-constructed tunnel, comparing and analyzing the state of the excavation surface of the pre-constructed tunnel, and displaying.
Optionally, the tunnel excavation region division module divides the excavation region of the pre-constructed tunnel into each section of sub-region, and divides soil above each section of sub-region in the pre-constructed tunnel into each depth layer soil, and specifically includes:
dividing an excavation area of the pre-constructed tunnel into sub-areas of each section according to a preset tunnel length equal division mode, and respectively marking the sub-areas of each section in the pre-constructed tunnel as aiWherein i is 1, 2.. times.n;
dividing the soil above each section of sub-area in the pre-construction tunnel into soil of each depth layer according to a set soil depth equidistant dividing mode, and respectively marking the soil of each depth layer above each section of sub-area in the pre-construction tunnel as aijWherein j is 1, 2.
Optionally, the soil type obtaining module obtains soil gravities corresponding to soil in each depth layer above each section of sub-area in the pre-constructed tunnel, and the specific obtaining mode is as follows:
randomly sampling soil of each depth layer above each section of sub-area in the pre-constructed tunnel to obtain soil samples of each depth layer above each section of sub-area in the pre-constructed tunnel;
acquiring images of soil samples of each depth layer above each section of sub-area in the pre-constructed tunnel, comparing the images of the soil samples of each depth layer above each section of sub-area in the pre-constructed tunnel with preset standard images corresponding to each soil type, and screening the soil types corresponding to the soil samples of each depth layer above each section of sub-area in the pre-constructed tunnel;
extracting standard soil gravities corresponding to preset soil types, screening the soil gravities corresponding to soil samples of all depth layers above all the sub areas in the pre-construction tunnel to serve as the soil gravities corresponding to the soil of all the depth layers above all the sub areas in the pre-construction tunnel, and marking the soil gravities corresponding to the soil of all the depth layers above all the sub areas in the pre-construction tunnel as gammaij。
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 the corresponding soil pressure of each depth layer above each section of sub-area in the pre-construction tunnel, and specifically includes:
testing and measuring the soil cohesive force of soil samples of each depth layer above each section of sub-area in the pre-constructed tunnel, and marking the soil cohesive force of the soil samples of each depth layer above each section of sub-area in the pre-constructed tunnel as caij；
Measuring the internal friction angle of each depth layer soil sample above each section of sub-area in the pre-constructed tunnel through tests, and marking the internal friction angle of each depth layer soil sample above each section of sub-area in the pre-constructed tunnel as the internal friction angle
Counting the maximum depth of each depth layer of soil above each section of sub-area in the pre-constructed tunnel from the ground, and marking the maximum depth of each depth layer of soil above each section of sub-area in the pre-constructed tunnel from the ground as hmaxaij；
Analyzing soil pressure Fa corresponding to soil of each depth layer above each section of sub-area in pre-construction tunnelijWherein the analysis formula of the soil pressure corresponding to each depth layer above each section of sub-area in the pre-construction tunnel is
γijExpressed as the soil gravity corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel，HPreparation ofIndicated as the tunnel excavation depth in the preset tunnel construction plan.
Optionally, the analyzing in the tunnel top interval statistical module obtains soil stress corresponding to each depth layer above each section of sub-region in the pre-constructed tunnel, and specifically includes:
counting the distance delta h' a between the central point of each depth layer soil above each section of sub-area in the pre-constructed tunnel and the top of the tunnelij；
Corresponding soil gravity gamma of soil of each depth layer above each section of sub-area in the pre-construction tunnelijBy substituting equation σ aij＝μ*γij*Δh′aijObtaining the soil stress sigma a corresponding to each depth layer above each section of sub-area in the pre-construction tunnelijWherein mu is expressed as the coefficient of the static soil pressure corresponding to the standard soil.
Optionally, the analysis mode of the water pressure corresponding to the soil of each depth layer above each section of sub-area in the pre-constructed tunnel in the soil water content detection module is as follows:
detecting the water content of each depth layer soil sample above each section of sub-area in the pre-constructed tunnel, and marking the water content of each depth layer soil sample above each section of sub-area in the pre-constructed tunnel as qaij；
Extracting standard permeability coefficients corresponding to various types of soil stored in a storage database, screening the standard permeability coefficients corresponding to the soil of each depth layer above each sub-region of each section in the pre-construction tunnel, and marking the standard permeability coefficients corresponding to the soil of each depth layer above each sub-region of each section in the pre-construction tunnel as thetaij；
Extracting tunnel excavation width d in preset tunnel construction planPreparation ofLength L of tunnelPreparation ofAnalyzing the volume corresponding to each depth layer soil above each section of sub-area in the pre-construction tunnel
Wherein h isSetting upExpressed as the set depth of each depth layer of soil;
analyzing the corresponding water pressure Pa of soil in each depth layer above each section of sub-area in the pre-constructed tunnelijWherein the calculation formula of the water pressure corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel is Paij＝qaij*θij*γ′Water (W)*Vaij，γ′Water (W)Expressed as the standard gravity of water.
Optionally, the analyzing, in the construction soil pressure analyzing module, the construction soil pressure borne by the excavation face of each sub-area in the pre-constructed tunnel specifically includes:
corresponding soil pressure Fa of soil of each depth layer above each section of sub-area in the pre-constructed tunnelijSoil stress sigma a of soil of each depth layer above each section of sub-area in pre-construction tunnelijCorresponding water pressure Pa of soil in each depth layer above each section of sub-area in the pre-constructed tunnelijSubstitution formula
Obtaining the construction soil pressure G borne by the excavation surface of each sub-area in the pre-construction tunneli。
Optionally, the excavation surface soil parameter detection module randomly samples excavation surface soil of each sub-region in the pre-constructed tunnel, and detects relevant parameters of each excavation surface soil sample in each sub-region in the pre-constructed tunnel, which specifically includes:
randomly sampling the soil of the excavation surface of each sub-area in the pre-constructed tunnel to obtain soil samples of each excavation surface in each sub-area in the pre-constructed tunnel, and sequentially marking the soil samples of each excavation surface in each sub-area in the pre-constructed tunnel as aibrWherein r is 1,2, and u, and the number of the sampled samples in each sub-region is the same, and simultaneously the volume of each sampled sample is the same;
testing and detecting the soil cohesion of each excavation surface soil sample in each section of sub-area in the pre-construction tunnel, and marking the soil cohesion of each excavation surface soil sample in each section of sub-area in the pre-construction tunnel as ci′br；
Detecting the internal friction angle of each excavation surface soil sample in each section of sub-area in the pre-constructed tunnel through tests, and enabling the pre-constructed tunnel to be internally provided with the soil samplesThe internal friction angle of each excavation surface soil sample in each section sub-area is marked as
。
Optionally, the tunnel excavation face supporting force analysis module analyzes the excavation face supporting force of each sub-area in the pre-constructed tunnel, and the concrete steps are as follows:
extracting a standard support force stability index delta stored in a storage database;
the construction soil pressure G borne by the excavation surface of each sub-area in the pre-construction tunneliSoil cohesive force c of soil samples of each excavation surface in each section of sub-area in pre-construction tunneli′brInner friction angle of soil sample of each excavation surface in each section of sub-area in pre-construction tunnel
Substitution formula
Obtaining the supporting force psi of the excavation face of each sub-area in the pre-construction tunneliWhere u is expressed as 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 sub-area in the pre-constructed tunnel, and contrasts and analyzes the state of the excavation face of the pre-constructed tunnel, and the specific steps are as follows:
corresponding soil gravity gamma of soil of each depth layer above each section of sub-area in the pre-construction tunnelijVolume Va corresponding to soil of each depth layer above each section of sub-area in pre-construction tunnelijAnd the construction soil pressure G borne by the excavation surface of each section of sub-area in the pre-construction tunneliSupporting force psi of excavation face of each section of subregion in pre-construction tunneliInstability model for tunnel excavation face
Obtaining an excavation surface instability coefficient xi of each section of sub-area in the pre-construction tunneliWherein lambda is expressed as a correction index of instability of the tunnel excavation surface;
and comparing the instability coefficient of the excavation surface of each sub-area in the pre-constructed tunnel with a preset safe instability coefficient threshold value, wherein if the instability coefficient of the excavation surface of each sub-area in the pre-constructed tunnel is less than or equal to the preset safe instability coefficient threshold value, the excavation surface of the pre-constructed tunnel is in a stable state, and if the instability coefficient of the excavation surface of a certain sub-area in the pre-constructed tunnel is greater than the preset safe instability coefficient threshold value, the excavation surface of the pre-constructed tunnel is in an unstable state.
As described above, the intelligent analysis system for the tunnel excavation surface instability model simulation test based on big data provided by the invention has at least the following beneficial effects:
the intelligent analysis system for the tunnel excavation face instability model simulation test based on the big data can truly reflect the soil type condition of the pre-constructed tunnel region by obtaining the soil gravity corresponding to each depth layer soil above each section sub-region in the pre-constructed tunnel, provide reliable reference data for later analysis of the construction soil pressure born by the tunnel excavation face, test the relevant parameters of each depth layer soil sample above each section sub-region in the pre-constructed tunnel, analyze the soil pressure and the soil stress of each depth layer soil above each section sub-region in the pre-constructed tunnel, thereby effectively reducing the possibility of changing the test data through the real soil data, reducing the difference between the test data and the real data, and simultaneously obtaining the corresponding water pressure of each depth layer soil above each section sub-region in the pre-constructed tunnel, the construction soil pressure borne by the excavation face of each sub-area in the pre-construction tunnel is comprehensively analyzed, so that the accuracy and reliability of analyzing the stable state of the tunnel excavation face in the later stage are improved, the instability occurrence rate of the excavation face in the later stage tunnel construction is reduced, and the construction progress and the construction period of tunnel engineering are not influenced.
According to the intelligent analysis system for the tunnel excavation face instability model simulation test based on the big data, the excavation face supporting force of each sub-region in the pre-constructed tunnel is obtained by detecting the relevant parameters of each excavation face soil sample in each sub-region in the pre-constructed 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 instability damage of the tunnel excavation face in the later construction process is avoided, the normal living environment of surrounding people is guaranteed, the excavation face instability coefficients of each sub-region in the pre-constructed tunnel are comprehensively analyzed, the state of the excavation face of the pre-constructed tunnel is contrastively analyzed and displayed, the stable state of the excavation face of the pre-constructed tunnel is visually displayed, and related personnel can conveniently count the experiment result of the tunnel excavation face instability model.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of the module connection of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present 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 division module, a soil type acquisition 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 support force analysis module, a tunnel excavation face state analysis module and a storage database.
The tunnel excavation area division module is used for dividing the excavation area of the pre-constructed tunnel into sub-areas of all sections and dividing soil above the sub-areas of all sections in the pre-constructed tunnel into soil of all depth layers.
In the technical scheme of this application preferred, the excavation region of tunnel excavation regional division module will be in advance under construction the tunnel divide into each section subregion to divide into each depth layer soil to each section subregion top soil in the tunnel of being under construction in advance, specifically include:
dividing an excavation area of the pre-constructed tunnel into sub-areas of each section according to a preset tunnel length equal division mode, and respectively marking the sub-areas of each section in the pre-constructed tunnel as aiWherein i is 1, 2.. times.n;
dividing the soil above each section of sub-area in the pre-construction tunnel into soil of each depth layer according to a set soil depth equidistant dividing mode, and respectively marking the soil of each depth layer above each section of sub-area in the pre-construction tunnel as aijWherein j is 1, 2.
The soil type obtaining module is used for sampling soil of each depth layer above each section of sub-area in the pre-construction tunnel, analyzing the soil type corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel, and obtaining the soil gravity corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel.
In a preferred technical scheme of the present application, the soil type obtaining module obtains soil gravities corresponding to soil in each depth layer above each section of sub-area in the pre-constructed tunnel, and the specific obtaining mode is as follows:
randomly sampling soil of each depth layer above each section of sub-area in the pre-constructed tunnel through a soil sampler to obtain soil samples of each depth layer above each section of sub-area in the pre-constructed tunnel;
acquiring images of soil samples of each depth layer above each section of sub-area in the pre-constructed 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-constructed tunnel with preset standard images corresponding to each soil type, and screening the soil types corresponding to the soil samples of each depth layer above each section of sub-area in the pre-constructed tunnel;
extracting standard soil gravities corresponding to preset soil types, screening the soil gravities corresponding to soil samples of all depth layers above all the sub areas in the pre-construction tunnel to serve as the soil gravities corresponding to the soil of all the depth layers above all the sub areas in the pre-construction tunnel, and marking the soil gravities corresponding to the soil of all the depth layers above all the sub areas in the pre-construction tunnel as gammaij。
In a possible design, the screening method of soil types corresponding to soil samples of each depth layer above each section of sub-area in the pre-construction tunnel is as follows:
comparing the soil sample images of each depth layer above each section of sub-area in the pre-constructed tunnel with the preset standard images corresponding to each soil type, counting the similarity between the soil sample images of each depth layer above each section of sub-area in the pre-constructed tunnel and the standard images corresponding to each soil type, screening the soil type with the highest similarity corresponding to the soil sample images of each depth layer above each section of sub-area in the pre-constructed tunnel, and obtaining the soil type corresponding to the soil sample of each depth layer above each section of sub-area in the pre-constructed tunnel.
In the embodiment, the soil of each depth layer above each section of sub-area in the pre-constructed tunnel is sampled to obtain the soil gravity corresponding to the soil of each depth layer above each section of sub-area in the pre-constructed tunnel, so that the soil type condition of the pre-constructed 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.
And 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-constructed tunnel and analyzing the corresponding soil pressure of each depth layer above each section of sub-area in the pre-constructed tunnel.
In the technical scheme of this application preferred, detect the relevant parameter of each section subregion top each depth layer soil sample in the tunnel of constructing in advance among the soil pressure analysis module, each section subregion top each depth layer soil corresponds the soil pressure in the tunnel of constructing in advance of analysis, specifically includes:
through experimental testsThe soil cohesive force of soil samples of each depth layer above each section of sub-area in the pre-constructed tunnel is determined, and the soil cohesive force of the soil samples of each depth layer above each section of sub-area in the pre-constructed tunnel is marked as caij；
Measuring the internal friction angle of each depth layer soil sample above each section of sub-area in the pre-constructed tunnel through tests, and marking the internal friction angle of each depth layer soil sample above each section of sub-area in the pre-constructed tunnel as the internal friction angle
；
Counting the maximum depth of each depth layer of soil above each section of sub-area in the pre-constructed tunnel from the ground, and marking the maximum depth of each depth layer of soil above each section of sub-area in the pre-constructed tunnel from the ground as hmaxaij；
Analyzing soil pressure Fa corresponding to soil of each depth layer above each section of sub-area in pre-construction tunnelijWherein the analysis formula of the soil pressure corresponding to each depth layer above each section of sub-area in the pre-construction tunnel is
γijExpressed as the soil gravity corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel, HPreparation ofIndicated as the tunnel excavation depth in the preset tunnel construction plan.
In a possible design, the soil cohesion and the internal friction angle of the soil sample of each depth layer above each sub area in the pre-constructed tunnel are measured through tests, and the specific test measurement mode is as follows:
dividing a soil sample of a certain depth layer above a certain section of subregion in a pre-constructed tunnel into three parts, respectively wrapping the three parts by using latex films, fixing one part of the soil sample in a pressure chamber of a triaxial shear tester, firstly injecting gas into the pressure chamber to enable the soil sample to be subjected to fixed confining pressure and to be recorded as small main stress, then applying vertical pressure on a piston rod at the upper end of the pressure chamber until the soil sample is subjected to shear failure, determining large main stress on the soil sample, and drawing a Morel circle according to the small main stress and the large main stress;
and measuring other two soil samples according to the mode, drawing other two Moire circles, and drawing common tangents of three different Moire circles above the coordinate axis, wherein an included angle between the common tangent and the horizontal direction is a soil internal friction angle, and an intercept between the common tangent and the vertical direction is soil cohesion.
In a possible design, the maximum depth of the soil of each depth layer above each section of sub-area from the ground is the depth of the bottom edge of the soil of each depth layer above each section of sub-area from the ground.
And the tunnel top interval counting module is used for counting the intervals between the central points of the soil of the depth layers above the sub-areas of each section in the pre-constructed tunnel and the top of the tunnel, and analyzing to obtain the soil stress corresponding to the soil of each depth layer above the sub-areas of each section in the pre-constructed tunnel.
In the technical scheme that this application is preferred, analysis obtains in the tunnel top interval statistics module that each section subregion top in the tunnel of giving up in advance each depth layer soil corresponds soil stress, specifically includes:
counting the distance delta h' a between the central point of each depth layer soil above each section of sub-area in the pre-constructed tunnel and the top of the tunnelijWherein the analysis formula of the distance between the central point of each depth layer soil above each section of sub-area in the pre-constructed tunnel and the top of the tunnel is
HPreparation ofExpressed as the tunnel excavation depth, h ″, in the preset tunnel construction planSign board"expressed as a standard height of a tunnel in a preset tunnel construction plan, hSetting upExpressed as the set depth of each depth layer soil;
corresponding soil gravity gamma of soil of each depth layer above each section of sub-area in the pre-construction tunnelijBy substituting equation σ aij＝μ*γij*Δh′aijObtaining the soil stress sigma a of soil of each depth layer above each section of sub-area in the pre-construction tunnelijWherein mu is expressed as the coefficient of the static soil pressure corresponding to the standard soil.
In the embodiment, the soil pressure and the soil stress of the soil of each depth layer above each section of sub-region in the pre-constructed tunnel are analyzed by testing the relevant parameters of the soil samples of each depth layer above each section of sub-region in the pre-constructed tunnel, so that the possibility of changing the test data can be effectively reduced through real soil data, and the difference between the test data and the real data is reduced.
And the soil water content detection module is used for detecting the water content of the soil sample of each depth layer above each section of sub-area in the pre-construction tunnel, and analyzing to obtain the corresponding water pressure of the soil of each depth layer above each section of sub-area in the pre-construction tunnel.
In the technical scheme of this application preferred, each section sub-region top each depth layer soil of interior each section sub-region of pre-construction tunnel corresponds the water pressure analysis mode among the soil water content detection module is:
detecting the water content of each depth layer soil sample above each section of sub-area in the pre-construction tunnel through a soil water content detector, and marking the water content of each depth layer soil sample above each section of sub-area in the pre-construction tunnel as qaij；
Extracting standard permeability coefficients corresponding to various types of soil stored in a storage database, screening the standard permeability coefficients corresponding to the soil of each depth layer above each sub-region of each section in the pre-construction tunnel, and marking the standard permeability coefficients corresponding to the soil of each depth layer above each sub-region of each section in the pre-construction tunnel as thetaij；
Extracting tunnel excavation width d in preset tunnel construction planPreparation ofLength L of tunnelPreparation ofAnalyzing the volume corresponding to each depth layer soil above each section of sub-area in the pre-construction tunnel
Wherein h isSetting upExpressed as the set depth of each depth layer of soil;
analyzing the corresponding water pressure Pa of soil in each depth layer above each section of sub-area in the pre-constructed tunnelijWherein the calculation formula of the water pressure corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel is Paij＝qaij*θij*γ′Water (W)*Vaij，γ′Water (W)Expressed as the standard gravity of water.
The construction soil pressure analysis module is used for analyzing the construction soil pressure borne by the excavation face of each section of sub-area 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 the pre-constructed tunnelijSoil stress sigma a of soil of each depth layer above each section of sub-area in pre-construction tunnelijCorresponding water pressure Pa of soil in each depth layer above each section of sub-area in the pre-constructed tunnelijSubstitution formula
Obtaining the construction soil pressure G borne by the excavation surface of each sub-area in the pre-construction tunneli。
In the embodiment, the water content of the soil sample of each depth layer above each section of sub-area in the pre-constructed 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-constructed tunnel, and the construction soil pressure borne by the excavation surface of each section of sub-area in the pre-constructed tunnel is comprehensively analyzed, so that the accuracy and reliability of analyzing the stable state of the excavation surface of the tunnel in the later period are improved, the incidence rate of instability of the excavation surface during the later period of tunnel construction is reduced, and the construction progress and the construction period of tunnel engineering are not influenced.
The excavation surface soil parameter detection module is used for randomly sampling excavation surface soil of each section of subregion in the pre-constructed tunnel and detecting relevant parameters of each excavation surface soil sample in each section of subregion in the pre-constructed tunnel.
In the technical scheme of this application preferred, carry out the random sampling to each section subregion's excavation face soil in the tunnel of constructing in advance among 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 constructing in advance, specifically include:
randomly sampling the soil of the excavation surface of each sub-area in the pre-constructed tunnel through a soil sampler to obtainMarking the soil samples of each excavation surface in each section of subregion in the pre-constructed tunnel as aibrWherein r is 1,2, and u, and the number of the sampled samples in each sub-region is the same, and the volume of each sampled sample is the same;
testing and detecting the soil cohesion of each excavation surface soil sample in each section of sub-area in the pre-construction tunnel, and marking the soil cohesion of each excavation surface soil sample in each section of sub-area in the pre-construction tunnel as ci′br；
Detecting the internal friction angle of each excavation surface soil sample in each section of sub-area in the pre-construction tunnel through tests, and marking the internal friction angle of each excavation surface soil sample in each section of sub-area in the pre-construction tunnel as the internal friction angle
。
And the tunnel excavation face supporting force analysis module is used for extracting the standard supporting force stability index stored in the storage database and analyzing the excavation face supporting force of each sub-area in the pre-constructed tunnel.
In a preferred technical scheme of the application, the tunnel excavation face supporting force analysis module analyzes the excavation face supporting force of each 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;
the construction soil pressure G borne by the excavation surface of each sub-area in the pre-construction tunneliSoil cohesive force c of soil samples of each excavation surface in each section of sub-area in pre-construction tunneli′brInner friction angle of soil sample of each excavation surface in each section of sub-area in pre-construction tunnel
Substitution formula
Excavation for obtaining sub-areas of each section in pre-construction tunnelFace support force psiiWhere u is expressed as the number of sampled samples in a single sub-region.
In this embodiment, the excavation surface soil of each sub-area in the pre-constructed tunnel is randomly sampled, and the relevant parameters of each excavation surface soil sample in each sub-area in the pre-constructed tunnel are detected to obtain the excavation surface supporting force of each sub-area in the pre-constructed tunnel, so that the instability influence of the excavation surface supporting force can be accurately analyzed by combining actual data, the problem of ground settlement caused by instability damage of the tunnel excavation surface in the later construction process is avoided, and the normal living environment of surrounding people is ensured.
And the tunnel excavation surface state analysis module is used for analyzing the excavation surface instability coefficient of each sub-area in the pre-constructed tunnel, comparing and analyzing the state of the excavation surface of the pre-constructed tunnel, and displaying.
In the technical scheme of this application preferred, the tunnel excavation face state analysis module in the analysis excavation face unstability coefficient of each section subregion in the tunnel of being under construction in advance, contrasts the state of analysis tunnel excavation face in advance, and specific steps are as follows:
corresponding soil gravity gamma of soil of each depth layer above each section of sub-area in the pre-construction tunnelijVolume Va corresponding to soil of each depth layer above each section of sub-area in pre-construction tunnelijAnd the construction soil pressure G borne by the excavation surface of each section of sub-area in the pre-construction tunneliSupporting force psi of excavation face of each section of subregion in pre-construction tunneliInstability model for tunnel excavation face
Obtaining an excavation surface instability coefficient xi of each section of sub-area in the pre-construction tunneliWherein lambda is expressed as a correction index of instability of the tunnel excavation surface;
and comparing the instability coefficient of the excavation surface of each sub-area in the pre-constructed tunnel with a preset safe instability coefficient threshold value, wherein if the instability coefficient of the excavation surface of each sub-area in the pre-constructed tunnel is less than or equal to the preset safe instability coefficient threshold value, the excavation surface of the pre-constructed tunnel is in a stable state, and if the instability coefficient of the excavation surface of a certain sub-area in the pre-constructed tunnel is greater than the preset safe instability coefficient threshold value, the excavation surface of the pre-constructed tunnel is in an unstable state.
In the embodiment, the stability state of the excavation surface of the pre-constructed tunnel is visually displayed by comprehensively analyzing the instability coefficient of the excavation surface of each sub-area in the pre-constructed tunnel, comparing and analyzing the state of the excavation surface of the pre-constructed tunnel and displaying the stability coefficient, so that related personnel can conveniently count the instability model test result of the excavation surface of the tunnel.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
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 tunnel excavation area analysis system comprises a tunnel excavation area division module, a soil type acquisition module, a soil pressure analysis module, a tunnel top distance statistics module, a soil water content detection module, a construction soil pressure analysis module, an excavation surface soil parameter detection module, a tunnel excavation surface support force analysis module, a tunnel excavation surface 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 sub-regions of each section and dividing soil above the sub-regions of each section in the pre-constructed tunnel into soil of each depth layer;
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 type corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel and acquiring the soil gravity corresponding to the soil of 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-constructed tunnel and analyzing the soil pressure corresponding to each depth layer above each section of sub-area in the pre-constructed tunnel;
the tunnel top distance counting module is used for counting the distance between the center point of each depth layer soil above each section of sub-region in the pre-constructed 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-region in the pre-constructed tunnel;
the soil water content detection module is used for detecting the water 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 the 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 the construction soil pressure borne by the excavation surface of each section of sub-area in the pre-construction tunnel;
the excavation surface soil parameter detection module is used for randomly sampling excavation surface soil of each sub-area in the pre-constructed tunnel and detecting relevant parameters of each excavation surface soil sample in each sub-area in the pre-constructed tunnel;
the tunnel excavation face supporting force analysis module is used for extracting the standard supporting force stability index stored in the storage database and analyzing the excavation face supporting force of each section of sub-area in the pre-constructed tunnel;
and the tunnel excavation surface state analysis module is used for analyzing the excavation surface instability coefficient of each sub-area in the pre-constructed tunnel, comparing and analyzing the state of the excavation surface of the pre-constructed tunnel, and displaying.
2. The big-data-based intelligent analysis system for the tunnel excavation face instability model simulation test, according to claim 1, is characterized in that: the tunnel excavation regional division module is divided into each section subregion with the excavation region in advance construction tunnel to divide into each degree of depth layer soil to each section subregion top soil in the tunnel of constructing in advance, specifically include:
dividing an excavation area of the pre-constructed tunnel into sub-areas of each section according to a preset tunnel length equal division mode, and respectively marking the sub-areas of each section in the pre-constructed tunnel as aiWhich isWhere i 1,2,. and n;
dividing the soil above each sub-area in the pre-construction tunnel into soil of each depth layer according to a set soil depth equidistant dividing mode, and respectively marking the soil of each depth layer above each sub-area in the pre-construction tunnel as aijWherein j is 1, 2.
3. The big-data-based intelligent analysis system for the tunnel excavation face instability model simulation test, according to claim 1, is characterized in that: the soil type obtaining module obtains soil gravities corresponding to soil in each depth layer above each section of sub-area in the pre-construction tunnel, and the concrete obtaining mode is as follows:
randomly sampling soil of each depth layer above each section of sub-area in the pre-constructed tunnel to obtain soil samples of each depth layer above each section of sub-area in the pre-constructed tunnel;
acquiring images of soil samples of each depth layer above each section of sub-area in the pre-constructed tunnel, comparing the images of the soil samples of each depth layer above each section of sub-area in the pre-constructed tunnel with preset standard images corresponding to each soil type, and screening the soil types corresponding to the soil samples of each depth layer above each section of sub-area in the pre-constructed tunnel;
extracting standard soil gravities corresponding to preset soil types, screening the soil gravities corresponding to soil samples of all depth layers above all the sub areas in the pre-construction tunnel to serve as the soil gravities corresponding to the soil of all the depth layers above all the sub areas in the pre-construction tunnel, and marking the soil gravities corresponding to the soil of all the depth layers above all the sub areas in the pre-construction tunnel as gammaij。
4. The big-data-based intelligent analysis system for the tunnel excavation face instability model simulation test, according to claim 1, is characterized in that: the soil pressure analysis module detects the relevant parameters of each depth layer soil sample above each section of subregion in the pre-construction tunnel, analyzes the corresponding soil pressure of each depth layer soil above each section of subregion in the pre-construction tunnel, and specifically comprises:
determination of pre-determination by experimentMarking the soil cohesive force of the soil samples of each depth layer above each section of sub-area in the pre-constructed tunnel as caij；
Measuring the internal friction angle of each depth layer soil sample above each section of sub-area in the pre-constructed tunnel through tests, and marking the internal friction angle of each depth layer soil sample above each section of sub-area in the pre-constructed tunnel as the internal friction angle
Counting the maximum depth of each depth layer of soil above each section of sub-area in the pre-constructed tunnel from the ground, and marking the maximum depth of each depth layer of soil above each section of sub-area in the pre-constructed tunnel from the ground as hmaxaij；
Analyzing soil pressure Fa corresponding to soil of each depth layer above each section of sub-area in pre-construction tunnelijWherein the analysis formula of the soil pressure corresponding to each depth layer above each section of sub-area in the pre-construction tunnel is
γijExpressed as the soil gravity corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel, HPreparation ofIndicated as the tunnel excavation depth in the preset tunnel construction plan.
5. The big-data-based intelligent analysis system for the tunnel excavation face instability model simulation test, according to claim 1, is characterized in that: the analysis obtains in the tunnel top interval statistics module in advance that each section subregion top each depth layer soil in the tunnel corresponds soil stress, specifically includes:
counting the distance delta h' a between the central point of each depth layer soil above each section of sub-area in the pre-constructed tunnel and the top of the tunnelij；
Corresponding soil gravity gamma of soil of each depth layer above each section of sub-area in the pre-construction tunnelijBy substituting equation σ aij＝μ*γij*Δh′aijObtaining the soil stress sigma a corresponding to each depth layer above each section of sub-area in the pre-construction tunnelijWherein mu is expressed as the coefficient of the static soil pressure corresponding to the standard soil.
6. The big-data-based intelligent analysis system for the tunnel excavation face instability model simulation test, according to claim 1, is characterized in that: the analysis mode of the corresponding water pressure of the soil of each depth layer above each section of sub-area in the pre-constructed tunnel in the soil water content detection module is as follows:
detecting the water content of each depth layer soil sample above each section of sub-area in the pre-constructed tunnel, and marking the water content of each depth layer soil sample above each section of sub-area in the pre-constructed tunnel as qaij；
Extracting standard permeability coefficients corresponding to various types of soil stored in a storage database, screening the standard permeability coefficients corresponding to the soil of each depth layer above each section of sub-area in the pre-constructed tunnel, and marking the standard permeability coefficients corresponding to the soil of each depth layer above each section of sub-area in the pre-constructed tunnel as thetaij；
Extracting tunnel excavation width d in preset tunnel construction planPreparation ofLength L of tunnelPreparation ofAnalyzing the volume corresponding to each depth layer soil above each section of sub-area in the pre-construction tunnel
Wherein h isSetting upExpressed as the set depth of each depth layer of soil;
analyzing the corresponding water pressure Pa of soil in each depth layer above each section of sub-area in the pre-constructed tunnelijWherein the calculation formula of the water pressure corresponding to the soil of each depth layer above each section of sub-area in the pre-construction tunnel is Paij＝qaij*θij*γ′Water (W)*Vaij，γ′Water (W)Expressed as the standard gravity of water.
7. The big-data-based intelligent analysis system for the tunnel excavation face instability model simulation test, according to claim 1, is characterized in that: the construction soil pressure analysis module analyzes the construction soil pressure borne by the excavation face of each section of sub-area 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 the pre-constructed tunnelijSoil stress sigma a of soil of each depth layer above each section of sub-area in pre-construction tunnelijCorresponding water pressure Pa of soil in each depth layer above each section of sub-area in the pre-constructed tunnelijSubstitution formula
Obtaining the construction soil pressure G borne by the excavation surface of each sub-area in the pre-construction tunneli。
8. The big-data-based intelligent analysis system for the tunnel excavation face instability model simulation test, according to claim 1, is characterized in that: the excavation face soil parameter detection module carries out random sampling to the excavation face soil of each section subregion in the tunnel of constructing in advance, detects the relevant parameter of each excavation face soil sample in each section subregion in the tunnel of constructing in advance, specifically includes:
randomly sampling the soil of the excavation surface of each sub-area in the pre-constructed tunnel to obtain soil samples of each excavation surface in each sub-area in the pre-constructed tunnel, and sequentially marking the soil samples of each excavation surface in each sub-area in the pre-constructed tunnel as aibrWherein r is 1,2, and u, and the number of the sampled samples in each sub-region is the same, and the volume of each sampled sample is the same;
testing and detecting the soil cohesive force of each excavation face soil sample in each section of sub-area in the pre-construction tunnel, and marking the soil cohesive force of each excavation face soil sample in each section of sub-area in the pre-construction tunnel as c'ibr；
Detecting the internal friction angle of each excavation surface soil sample in each section of sub-area in the pre-construction tunnel through tests, and marking the internal friction angle of each excavation surface soil sample in each section of sub-area in the pre-construction tunnel as the internal friction angle
9. The big-data-based intelligent analysis system for the tunnel excavation face instability model simulation test, according to claim 1, is characterized in that: the tunnel excavation face supporting force analysis module analyzes the excavation face supporting force of each sub-area in the pre-constructed tunnel, and the tunnel excavation face supporting force analysis module comprises the following specific steps:
extracting a standard support force stability index delta stored in a storage database;
the construction soil pressure G borne by the excavation surface of each sub-area in the pre-construction tunneliSoil cohesion c 'of each excavation surface soil sample in each section of sub-area in pre-construction tunnel'ibrInner friction angle of soil sample of each excavation surface in each section of sub-area in pre-construction tunnel
Substitution formula
Obtaining the supporting force psi of the excavation face of each sub-area in the pre-construction tunneliWhere u is expressed as the number of sampled samples in a single sub-region.
10. The big-data-based intelligent analysis system for the tunnel excavation face instability model simulation test, according to claim 1, is characterized in that: the tunnel excavation face state analysis module analyzes the excavation face instability coefficient of each sub-area in the pre-constructed tunnel, and contrasts and analyzes the state of the excavation face of the pre-constructed tunnel, and the method comprises the following specific steps:
corresponding soil gravity gamma of soil of each depth layer above each section of sub-area in the pre-construction tunnelijVolume Va corresponding to soil of each depth layer above each section of sub-area in pre-construction tunnelijAnd the construction soil pressure G borne by the excavation surface of each section of sub-area in the pre-construction tunneliSupporting force psi of excavation face of each section of subregion in pre-construction tunneliSubstituted tunnel excavation face instability model
Obtaining an excavation surface instability coefficient xi of each section of sub-area in the pre-construction tunneliWherein lambda is expressed as a correction index of instability of the tunnel excavation surface;
and comparing the instability coefficient of the excavation surface of each sub-area in the pre-constructed tunnel with a preset safe instability coefficient threshold value, wherein if the instability coefficient of the excavation surface of each sub-area in the pre-constructed tunnel is less than or equal to the preset safe instability coefficient threshold value, the excavation surface of the pre-constructed tunnel is in a stable state, and if the instability coefficient of the excavation surface of a certain sub-area in the pre-constructed tunnel is greater than the preset safe instability coefficient threshold value, the excavation surface of the pre-constructed tunnel is in an unstable state.
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