129 results about "Rock failure" patented technology

The present invention relates to the technical field of tunnel rockburst microseismic monitoring, and provides a strain-structural plane slip-type rockburst failure mechanism analysis method for a drill-and-blast method tunnel. The present invention collects strain-structural plane slip-type rockburst microseismic data during tunnel construction; in light of engineering geological survey data, performs microseismic monitoring and data analysis on strain-structural plane slip-type rockburst that has occurred in a tunnel, divides a strain-structural plane slip-type rockburst risk area, and determines a microseismic rockburst early warning area; and, by means of these data, deeply understands a microseismic activity law of strain-structural plane slip-type rockburst of deep-buried drill-and-blast method tunnels, discriminates respective functions of tensioning and shearing in rock failure processes, comprehensively analyzes the failure mechanism of strain-structural plane slip-type rockburst, and further obtains the failure mechanism of strain-structural plane slip-type rockburst of the deep-buried drill-and-blast method tunnels, providing an important theoretical basis for predicting and preventing rockburst disasters.

The invention discloses a rock failure time prediction method and system based on deep learning, and the method comprises the steps: obtaining monitoring data collected by a plurality of sensors when a target type of rock is damaged, carrying out the preprocessing of the monitoring data, obtaining the preprocessed data, and generating a data set according to the preprocessed data; constructing a deep learning combination model, and training and testing the deep learning combination model by using the data set to obtain a target prediction model; and obtaining real-time state data of a to-be-predicted target type rock, and inputting the real-time state data into the target prediction model for prediction to obtain the residual damage time of the to-be-predicted rock. The rock damage time can be predicted in real time, the spatio-temporal characteristics in the rock damage process can be accurately captured, the early warning signal can be sent out, the method has important application prospects, and the method has important value in rock damage monitoring and safety management especially in mining, tunneling and other projects.

The invention discloses a slope stability evaluation method based on micro-seismic signal double-dominant-frequency mechanism characteristics, and relates to material analysis and application. The method is based on the objective principle that rock acoustic emission dominant frequency characteristics and micro-seismic signal dominant frequency characteristics have consistency and relevance, and the phenomenon of double dominant frequency characteristics existing in acoustic emission tests and micro-seismic monitoring. A rock sample dominant frequency characteristic rule obtained by an acoustic emission test is used for processing micro-seismic signal waveform data obtained by micro-seismic monitoring, so that a dominant frequency characteristic evolution rule of slope rock damage can be obtained through a micro-seismic signal, and the stress condition of the slope rock is more accurately judged based on the dominant frequency characteristic evolution rule; the stability of the slope is evaluated, so that the accuracy of an evaluation result is remarkably improved; the evaluation method combines an acoustic emission test and micro-seismic monitoring, has the advantages of high evaluation accuracy and good universality, and is suitable for large-scale application in monitoring and prevention of geological disasters such as landslide and the like.

The invention relates to the field of mining machinery, in particular to a method for predicting disc cutter specific energy consumption and selecting an optimal specific energy consumption parameter. Firstly, an SEC mathematical model containing key parameters such as the cutting depth, the cutting speed, the feeding rate, the cutting angle, the cutter radius and the friction coefficient is deduced by analyzing the cutter cutting type, the rock damage form and the cutter load; secondly, generating a data set by utilizing finite element simulation and carrying out feature analysis; then, a PINN model is constructed and trained, and the SEC prediction precision is improved in combination with a physical rule and data driving; and finally, based on a model prediction result, selecting an optimal parameter combination to realize energy consumption optimization. The result shows that the method is superior to a traditional method in the aspects of prediction accuracy and parameter optimization, the energy consumption of the disc cutter is remarkably reduced, the working efficiency is improved, and good economic and social benefits are achieved.

The invention discloses a deep well rock mass instability failure time accurate forecasting and early warning system, and relates to the technical field of deep well rock mass failure early warning, and the deep well rock mass instability failure time accurate forecasting and early warning system comprises the following steps: collecting a plurality of deep well rock samples to carry out a uniaxial compression experiment, and collecting acoustic emission signals in real time based on an acoustic emission sensor to obtain original acoustic emission signal data; carrying out self-adaptive preprocessing, and carrying out data classification and integration to obtain rock sample acoustic emission parameter data; constructing an original damage forecasting model, and performing model training and verification optimization based on the rock sample acoustic emission parameter data to obtain a rock damage forecasting model; collecting an acoustic emission signal of the deep well rock mass, and predicting the instability failure time of the deep well rock mass in real time based on the rock failure forecasting model; the method is used for solving the problems that when an existing deep well rock mass damage early warning technology carries out early warning on rock mass instability damage through acoustic emission monitoring, single or few characteristic parameters are manually processed and analyzed, and the early warning reliability and timeliness are not high.

The invention provides a rock failure short-term and temporary early warning method and device based on acoustic emission clustering analysis, and relates to the technical field of rock mechanics and geotechnical engineering. The method comprises the following steps: acquiring acoustic emission characteristic parameters in a rock deformation and failure process; carrying out clustering analysis on the acoustic emission characteristic parameters by adopting a Kmeans + + algorithm to obtain clustering labels corresponding to the acoustic emission characteristic parameters; according to the clustering labels, a random forest algorithm is adopted, and importance scores of the acoustic emission characteristic parameters are calculated; constructing an early warning index set according to the acoustic emission characteristic parameters; an initial CNN-LSTM model is constructed; according to the early warning index set, establishing a sample data set of the rock failure conventional signal and the precursor signal; the initial CNN-LSTM model is trained according to the sample data set, and a trained CNN-LSTM model is obtained; acquiring a real-time acoustic emission signal; and inputting a real-time acoustic emission signal into the trained CNN-LSTM model, and carrying out early warning by identifying the category of the acoustic emission signal. According to the invention, early warning can be carried out in the rock complex damage process.

The invention relates to the technical field of computers, and discloses a rock creep model construction method and device and a rock failure mode determination method. The method comprises the steps of obtaining a data set; samples in the data set comprise input data and output data, the input data comprise creep load holding time, sample rock stress data, initial macroscopic damage data, initial microscopic damage data, long-term strength and a creep starting threshold value, and the output data is a strain true value; fitting the initial rock creep model by using the data set to obtain a final rock creep model; wherein the initial rock creep model comprises at least one of a damaged elastomer strain item, a damaged viscoelastomer strain item and a damaged viscoplastic body strain item; each strain item comprises a macro-micro nonlinear coupling damage item, and the macro-micro nonlinear coupling damage item is generated based on the initial micro damage data and the initial macro damage data. The model constructed by the method can truly reflect the nonlinear mechanical response of the rock mass under the combined action of the multi-scale initial defects.

The invention discloses a method and a system for distinguishing water-endowed surrounding rock failure of underground engineering, and the method comprises the steps: obtaining water pressure change data of water-endowed surrounding rock, calculating a stress field change trend in combination with a preset stress distribution model, and simulating a micro-fracture extension process by adopting a fracture extension model; based on the fracture extension simulation result and the physical properties of the surrounding rock, the nonlinear characteristics of fracture extension are judged; analyzing the influence of water pressure fluctuation on surrounding rock permeability characteristics, correcting fracture extension model parameters according to the influence, and recalculating a dynamic process; a multi-dimensional discrimination model of surrounding rock failure is constructed by adopting multi-field coupling analysis, a critical state is dynamically captured in combination with time evolution data, and a failure development trend is predicted by applying a nonlinear dynamics algorithm. According to the method, through multi-dimensional data analysis and model iterative optimization, accurate simulation and prediction of the surrounding rock failure process under complex geological conditions are realized, and important technical support is provided for engineering safety.

The invention provides a rock damage simulation method and device, and relates to the technical field of rock engineering. The method comprises the following steps: applying a load to a numerical model of a rock to be measured, simulating the numerical model based on least square near-field dynamics, and judging whether the numerical model has tensile failure and / or shear failure by utilizing a maximum principal stress criterion and a Mohr-Coulomb criterion; when the numerical model is not damaged, increasing the load applied to the numerical model until any damage occurs to the numerical model; and judging whether the current total load step reaches a preset total step number or not after the damage occurs, if the current load is not kept unchanged, continuing to apply the load to the numerical model until the current total load step reaches the preset total step number. According to the method, two criteria are used for identifying different damage behaviors of the rock, tensile damage and shear damage of the rock can be accurately described, the rock damage process is more accurately simulated, and disaster prediction and prevention and control in the field of rock engineering are facilitated.

The invention provides a reservoir mechanical integrity evaluation method under high-frequency injection and production. The evaluation method comprises the steps that S1, rock sample compressive strength and mechanical property parameters of a reservoir under multiple confining pressures are determined; s2, determining the upper limit and the lower limit of the reservoir pressure of the energy storage reservoir in the injection-production process; s3, obtaining the critical fatigue strength of the reservoir rock sample under a plurality of confining pressures within the designed age limit; s4, determining a deviating stress-average stress plane according to the compressive strength and the critical fatigue strength of the rock sample under the plurality of confining pressures, and dividing rock failure zones on the deviating stress-average stress plane; and S5, establishing a geomechanical model to predict the stress level of the reservoir, and judging the safety of the reservoir during the cyclic injection-production period from the perspective of mechanical integrity. Safe, efficient, economical and lasting operation of the energy storage warehouse is guaranteed, and a feasible method is provided for expanding the application range of compressed air energy storage.

The invention discloses a carbon dioxide geological sequestration quantity evaluation method considering the influence of sealing performance of a cover layer. The method comprises the following steps: acquiring a structural plane and a thickness distribution map of the cover layer by utilizing a three-dimensional geological model; obtaining the change rule of the cap layer breakthrough pressure along with the depth; the hydraulic fracturing pressure of the cover rock is obtained, and a cover rock damage envelope line and the cover rock breakthrough pressure are drawn; and finally determining and obtaining the maximum allowable reservoir pressure based on the cap stratum breakthrough pressure, the reservoir and the cap stratum fracture pressure. The maximum reservoir pressure after maximum permissible carbon dioxide injection of reservoirs in different regions is utilized to obtain a regional saline water layer carbon dioxide limit sequestration amount distribution map, the limit sequestration potential of the regions is determined, and the problem that an existing carbon dioxide geological sequestration amount evaluation method does not consider the influence of the sealing performance of a cover layer is solved. The method breaks through the basic theory that the current reservoir pressure cannot exceed the overburden breakthrough pressure, provides a new thought for carbon dioxide geological storage potential evaluation, and is suitable for large-scale carbon dioxide geological utilization and storage.

The invention provides a fractured rock damage prediction method and system, and belongs to the field of rock mechanics and engineering monitoring. The problem that a prediction result obtained by an existing fractured rock damage prediction method is not accurate is solved. According to the technical scheme, the method comprises the following steps: synchronously obtaining a DIC image sequence and an acoustic emission signal in a loading process of a to-be-measured fractured rock, carrying out data processing to generate a gray variance evolution curve and an acoustic emission b value evolution curve, and extracting a gray variance surge point on the gray variance evolution curve and a b value surge point on the acoustic emission b value evolution curve; performing time sequence comparison on the gray variance sharp increase point and the b value sudden drop point on a time axis, and when the gray variance sharp increase point and the b value sudden drop point meet a preset consistency condition on the time axis, judging the corresponding gray variance sharp increase point or b value sudden drop point as a damage critical point of the fractured rock; the method is applied to rock failure prediction.

The invention discloses a rock uniaxial compression damage model considering microcrack mechanical behaviors. The model reflects that rock damage is caused by slippage and extension of microcracks. According to a microcrack slippage model and an energy balance principle, a rock uniaxial compression stress-strain relationship is established, and it is considered that microcracks obey a Weibull distribution model. And further taking a strain energy density criterion as a microfracture propagation criterion, solving the wing crack propagation length of the composite fracture by adopting an iteration method, and obtaining a rock damage variable evolution equation represented by the wing crack propagation length. Therefore, a rock uniaxial compression damage model is provided, and the rationality of the rock uniaxial compression damage model is verified. Parameter sensitivity analysis is adopted to research the influence of the microcrack length, the friction coefficient and the rock fracture toughness on the mechanical properties of the rock. Research results show that macroscopic mechanical properties of the rock are macroscopic reflection of microscopic mechanical parameters of the rock, so that the rock damage constitutive model established from the microscopic perspective can better reveal the deformation and failure mechanism of the rock, and the rock damage constitutive model has a good application prospect.

The invention discloses a test method for overlying strata joint fault instability induced by supercritical CO2 injection, and aims to solve the technical problems that the overlying strata instability process caused by supercritical CO2 injection cannot be effectively simulated under true triaxial stress at present, and CO2 geological storage and development of oil and gas reservoirs are severely hindered. A true triaxial device is used for applying three-way unequal stress, supercritical CO2 is injected by a high-precision high-pressure pump according to a constant rate or flow until the rock is damaged, and the unstability mechanism of the joint fault of the cover layer under different conditions is systematically explored. According to the test method for inducing the unstability of the joint fault of the cover layer by the supercritical CO2 injection, the evolution law of the joint fault of the cover layer by the CO2 injection can be intuitively and accurately observed, the unstability mechanism of the cover layer under a real reservoir condition is comprehensively simulated, scientific and reliable theoretical support and technical guidance are provided for related engineering practice, and the test method has important application value.

The invention discloses a method and system for dynamically evaluating trafficability of a monorail crane in an underground coal mine roadway, and the method comprises the steps: obtaining roadway video information through video collection equipment, and analyzing and recognizing the position of roadway rock damage or deformation; for the damaged or deformed position, the running speed of the monorail crane is reduced in advance, and the deformation amount is analyzed through the three-dimensional laser point cloud technology; preliminarily judging the trafficability of the monorail crane in the current roadway by referring to the range of the key size of the monorail crane, and if the monorail crane is impassable, performing multipoint cloud offline fitting accurate judgment; and evaluating the trafficability of the monorail crane according to the judgment result, and providing driving suggestions for the monorail crane. According to the method, the trafficability of the monorail crane in the underground coal mine roadway can be dynamically evaluated, and safe operation of the monorail crane is guaranteed.

The invention relates to the technical field of thermocycling damage treatment, in particular to a granular rock thermocycling damage prediction method, which comprises the following steps: establishing a particle-based numerical model by using discrete element software; setting initial temperature and confining pressure of the rock sample, and constructing a heating, balancing and cooling experiment process; setting different preset temperature values and temperature rising and cooling step lengths; elastic modulus damage and crack number development are obtained; thermal damage is calculated through elastic modulus damage and crack number development, the relation between rock volume thermal strain and rock heating-cooling damage under different confining pressures is obtained, and a damage prediction model of rocks under different confining pressures under the cold and heat cycle condition is constructed. Aiming at the rock damage problem caused by rock heating expansion and cooling shrinkage, the thermal damage and volume thermal strain model considering heating and cooling is constructed, and the universality of the model is high.

This invention provides a method and device for short-term early warning of rock failure based on acoustic emission clustering analysis, relating to the fields of rock mechanics and geotechnical engineering. The method includes: acquiring acoustic emission characteristic parameters during rock deformation and failure; performing clustering analysis on the acoustic emission characteristic parameters using the K-means++ algorithm to obtain cluster labels corresponding to the acoustic emission characteristic parameters; calculating the importance scores of the acoustic emission characteristic parameters based on the cluster labels using the random forest algorithm; constructing an early warning index set based on the acoustic emission characteristic parameters; constructing an initial CNN-LSTM model; establishing a sample dataset of conventional and precursor signals of rock failure based on the early warning index set; training the initial CNN-LSTM model using the sample dataset to obtain a trained CNN-LSTM model; acquiring real-time acoustic emission signals; and inputting the real-time acoustic emission signals into the trained CNN-LSTM model to provide early warning by identifying the acoustic emission signal category. This invention can provide early warning for complex rock failure processes.

The invention relates to a rock mechanics testing method and system based on artificial intelligence, and the method comprises the steps: carrying out the three-dimensional scanning of a rock sample, and obtaining three-dimensional model data; sending into a convolutional neural network to analyze the surface characteristics of the rock sample, and obtaining the initial state parameters of the rock sample; according to the initial state parameters, a rock mechanics test loading scheme is formulated through an adaptive optimization algorithm, and a test execution instruction is obtained; applying a preset load to the rock sample according to the test execution instruction, and synchronously acquiring mechanical response data and a deformation image sequence; according to the deformation image sequence, constructing a full displacement field and a strain field of the rock sample, and obtaining global deformation characteristics; and based on the global deformation characteristics and the mechanical response data, identifying damage behavior parameters of the rock sample through a time sequence characteristic extraction algorithm, and obtaining a damage type. Intellectualization, data closed loop and self-evolution of the whole rock mechanics test process are achieved, and the test precision and the reliability of rock damage prediction are improved.

This invention belongs to the fields of rock mechanics, signal processing, and deep learning. It provides an intelligent method, device, equipment, and medium for identifying rock fracture types. The method includes: acquiring acoustic emission signal data, loading stress-strain data, and rock image / video of the rock sample; extracting multimodal features from the acoustic emission signal data and loading stress-strain data; performing principal component analysis on the multimodal features to obtain a dimensionality-reduced feature matrix; labeling training data using a rock failure event time-series correlation method to obtain crack type labels; training and detecting using a gated recurrent unit network based on the dimensionality-reduced feature matrix and crack type labels to obtain a shear crack probability sequence, and then calculating the tension-shear ratio within a time step; and generating time stamps in the rock image / video based on the tension-shear ratio. This invention achieves accurate and rapid identification of rock fracture types and real-time monitoring of the dynamic evolution of fractures.

The invention discloses a rock material tension-shear failure simulation method and equipment based on a dynamic dual-phase field model. The method comprises the following steps: establishing a stress tensor physical model corresponding to a rock material constitutive relationship; respectively introducing a tension phase field and a shear phase field, and establishing a dynamic double-phase field model corresponding to the rock tension-shear failure physical process; deducing an energy functional of the dynamic double-phase field model; establishing a crack surface local coordinate system, and judging a crack contact state according to a frictional contact phase field theory; switching a stress tensor decomposition mode according to the contact state, and calculating a phase field evolution driving force; rock material tension-shear failure simulation based on the dynamic two-phase field model is achieved, and rock fracture form evolution data are output and used for evaluating rock slope stability.

The application discloses a rock residual strength determination method based on an energy drop ratio parameter and belongs to the technical field of geological engineering. According to a rock stress-strain curve obtained through a rock triaxial test, the energy of each component in a failure process is calculated according to the rock stress-strain curve characteristics, and based on the energy evolution law in the rock failure process, an energy drop ratio parameter is proposed to quantitatively represent the strength drop. A residual strength determination method considering the whole rock failure process is proposed through the energy drop ratio parameter. The application comprehensively considers the influence of the pre-peak stage and the post-peak stage on the residual strength, proposes a rock residual strength determination method suitable for different post-peak drop trends, and calculates the stability of the broken rock mass through the residual strength, which has an important guiding role for the excavation, design and stability evaluation of the rock mass engineering.

The present invention discloses a uniaxial compression damage model of rock considering the mechanical behavior of microcracks, which reflects that rock failure is caused by the slip and propagation of microcracks. According to the microcrack slip model and the principle of energy balance, the uniaxial compression stress-strain relationship of rock is established, and it is considered that microcracks obey the Weibull distribution model. Furthermore, taking the strain energy density criterion as the microcrack propagation criterion, the iterative method is used to solve the propagation length of the wing crack in the mixed-mode fracture, and the evolution equation of the rock damage variable expressed by the propagation length of the wing crack is obtained. Thus, a uniaxial compression damage model of rock is proposed and its rationality is verified. The influence of microcrack length, friction coefficient and rock fracture toughness on the mechanical properties of rock is studied by parameter sensitivity analysis. The research results show that the macroscopic mechanical properties of rock are the macroscopic manifestation of its mesoscopic mechanical parameters. Therefore, the rock damage constitutive model established from the mesoscopic perspective can better reveal its deformation and failure mechanism and has good application prospects.

The embodiment of the present invention discloses a quantitative evaluation method of the rock-breaking effect of explosion stress wave and blasting gas, and a rock blasting method, wherein the evaluation method includes: setting a plurality of relative position relationships between explosives and blastholes, wherein the explosives are located in the blastholes and there is a cavity between the explosives and the blasthole wall, and the volume of the cavity between the explosives and the blasthole wall in the direction of the measured position of the rock under different relative position relationships is different; for each relative position relationship: placing the explosives at the corresponding position in the blasthole, using the explosion effect of the explosives in the blasthole to apply a load to the rock to destroy the rock; based on the stress conditions and / or damage conditions of the measured position of the rock during the rock destruction process under various relative position relationships, the rock-breaking effect of the explosion stress wave and the blasting gas is quantitatively evaluated. The embodiment of the present invention can be applied to the experimental scene of the study of the action mechanism of the explosion stress wave and the blasting gas, and realizes the accurate identification and quantification of the rock-breaking effect of the coupling of the explosion stress wave and the blasting gas.

The invention provides a geophysical prospecting-drilling combined inversion method and system for a roadway surrounding rock loosening circle, and aims to solve the problem that the existing roadway surrounding rock loosening circle range detection is not accurate and comprehensive enough, improve the detection precision and efficiency, and provide a basis for roadway support design and safety maintenance. The method comprises the following steps: geophysical prospecting is carried out on top and bottom plates and two sides of a roadway by using a geological radar, data processing and preliminary detection are completed, and an approximate range of a loose circle is determined; selecting a representative position for drilling, analyzing the surrounding rock damage and crack conditions by means of a drilling peeping instrument, and judging the surrounding rock damage depth. And comparing the borehole peeping data with a geological radar preliminary detection result, constructing a target function through a least square method, and solving and correcting geological radar parameters. And scanning the roadway again by using the corrected parameters, importing secondary scanning data and drilling peeping data into professional software, constructing and visualizing a three-dimensional model of the roadway surrounding rock loose circle, and visually displaying information such as the shape, the size and the depth of the loose circle. The advantages of geophysical prospecting and drilling are integrated, the detection precision is effectively improved, roadway detection is comprehensively covered, a reliable basis is provided for roadway support design and safety maintenance, and meanwhile cost and time are saved.

The invention discloses a coal rock failure characteristic quantification method and device, equipment, a medium and a crack visualization tool, and relates to the technical field of coal rock detection.The method comprises the steps that graying processing is conducted on a coal rock image, and a gray image is obtained; carrying out binarization processing on the grayscale image to obtain a binarized image; and calculating the opening degree of each crack and the average characteristic size of the cracks of the coal rock image according to the pixel-level pores in the binarized image, thereby realizing accurate quantification of coal rock damage.

The invention discloses a three-dimensional failure criterion construction method considering bedding and three-dimensional stress and intermediate principal stress effect degradation, and the method comprises the steps: S1, obtaining rock strength data through true triaxial static tests under different bedding dip angles, direction angles and intermediate principal stress; s2, constructing a transverse isotropic strength characteristic function based on the spatial relationship between the bedding structure and the loading direction; s3, introducing an intermediate principal stress degradation parameter, and establishing a rock failure criterion considering three-dimensional stress and intermediate principal stress effect degradation; s4, constructing a three-dimensional failure criterion considering bedding space and three-dimensional stress and intermediate principal stress effect degradation; s5, determining model parameters by fitting static test data, and drawing a strength evolution curve; and S6, based on the three-dimensional failure criterion parameters, drawing a stratified rock strength prediction curve. According to the method, quantitative characterization of true three-dimensional stress, middle principal stress degradation and bedding three-dimensional space effect coupling of the strength of the layered rock is achieved for the first time.

The invention discloses a test method and system of an indoor model for ultra-large-span cavern excavation support and a medium, and relates to the technical field of geotechnical engineering physical model tests. Through the counter-force frame and the three-dimensional gradient active loading system, a real non-uniform three-dimensional crustal stress field is precisely restored. By means of a numerical control mechanical arm carrying a head-replaceable end effector, a finish-milling cutting head and a negative pressure suction system, extra disturbance of excavation to surrounding rock is reduced. Excavation and support triggering conditions are preset to control actuator tool switching, and excavation-support time sequence linkage is achieved. Through cooperative acquisition and analysis of a pre-embedded sensor, monitoring equipment around a model box and a multi-source data acquisition cabinet, full-dimensional data is obtained, and the finally constructed four-dimensional surrounding rock failure evolution comprehensive map completely presents the whole process from microscopic crack initiation to macroscopic instability. And a high-fidelity test basis is provided for risk pre-judgment and design optimization of a super-large-span cavern project.

The present invention belongs to the technical field of deep formation drilling and completion, and discloses a method for quantitatively analyzing the probability of mixed multi-criterion collapse pressure based on GMM, which includes collecting samples of geomechanical parameters and performing standardization processing; conducting cluster analysis on the standardized data of the geomechanical parameter samples; constructing a parameter uncertainty quantification model in combination with the geomechanical parameter samples; constructing a wellbore stability evaluation model based on the wellbore stress distribution and different rock failure criteria, and setting the probability weight coefficients of different criterion models; randomly generating N groups of sampling data based on the parameter uncertainty quantification model and calculating the wellbore collapse pressure; and quantifying the probability result of the collapse pressure in combination with the Monte Carlo method. The present invention can use the geomechanical parameter samples to realize the quantification of the high-dimensional joint probability distribution of the parameters, and further combine multiple failure criteria to construct a multi-criterion collapse pressure probability model for the wellbore, thereby effectively improving the efficiency of the uncertainty quantification work of the wellbore collapse pressure.

The invention discloses a chamber excavation surrounding rock failure area simulation method and related equipment, and relates to the field of geotechnical engineering stability evaluation.The method comprises the steps that an underground chamber excavation process is simulated through an underground chamber initial model without setting support measures, a plastic zone range is obtained, and principal stress information of a corresponding unit of a failure area is extracted; calculating the damage degree of the surrounding rock based on the surrounding rock stress state; performing zoning operation on the damage area according to the surrounding rock damage degree to obtain refined zoning information; on the basis of a triaxial compression test, rock mechanical parameters related to the residual strength of the surrounding rock under different damage degrees are obtained; assigning values to different partitions with different damage degrees according to the rock mechanical parameters related to the residual strength; and excavation numerical simulation is conducted again to obtain a new plastic zone range and main stress distribution, and final partition assignment and refined simulation are completed. According to the method, the authenticity, engineering adaptability and reliability of numerical simulation are improved, and the method has clear technical progress and engineering practical value.

The invention provides a surrounding rock staged failure semi-analytical solution method and system suitable for tunnel water gushing, and belongs to the technical field of tunnel engineering. The method comprises the steps that according to test data under different water contents, all surrounding rock mechanical parameters are fitted, and a surrounding rock mechanical parameter fitting equation considering the water contents is obtained; the three-dimensional arch effect in the tunnel excavation process is considered, and the surrounding rock damage process caused by tunnel excavation is divided into two stages, namely the first stage and the second stage; in the first stage, the surrounding rock failure mode is that the first stress of the excavation effect is redistributed; in the second stage, the surrounding rock failure mode is that stress is redistributed again under the combined action of the excavation effect and the water weakening effect; and for the second stage, establishing a circular tunnel calculation model considering the water weakening effect, and performing mechanical calculation on the surrounding rock failure process by adopting a semi-analytical method. Through two-stage division, the excavation effect and the water weakening effect are considered, and the progressive failure characteristics of the surrounding rock under the water gushing condition are described more accurately.