628 results about "Rock mechanics" patented technology

The invention relates to the technical field of mine safety, and provides a cross-layer roadway multi-rock-stratum rigidity matching collaborative segmented supporting method which comprises the steps that plastic zone ranges of different rock stratum areas in a cross-layer roadway are determined, and rock stratum joint fissure zones and weak intercalated layers are identified; monitoring the elastic zone rigidity and the plastic zone weakening rate of the surrounding rock, constructing a surrounding rock mechanical model, obtaining the supporting structure rigidity for inhibiting the expansion of the plastic zone through the surrounding rock mechanical model, and constructing a supporting structure according to the supporting rigidity; and the reinforcing material is sprayed to the surface of the surrounding rock through high-pressure jet flow to form a protective layer. Through the cooperative control thought of weak layer control, rigidity adjustment and resistance transfer, breakthrough transformation of crossing roadway support from passive defense to active control is achieved, according to a scientific surrounding rock mechanical model, the rigidity of the support structure can effectively inhibit expansion of a plastic zone, the stability of a system is maintained, and the stability of the system is improved. And finally, an ultrahigh strength performance and gradient spraying layer structure technology is adopted, so that the compression strength and the shear strength of the surrounding rock are remarkably improved.

The invention relates to the technical field of rock mechanical tests and safety monitoring, and discloses a rock fracture prediction method based on acoustic emission and surface strain cooperative monitoring, and the method comprises the steps: building a monitoring system comprising acoustic emission and an industrial camera array, and building a unified timestamp of each subsystem through a GPS time service module; through load triggering logic, a synchronous trigger is utilized to synchronously acquire an acoustic emission signal and a sample surface image sequence, and evolution characteristics of three-dimensional coordinates of an acoustic emission source and surface full-field strain data are solved. And on the basis, calculating a main strain field variation coefficient, and performing cross-correlation analysis on the resampled energy rate and strain rate. And finally, according to multi-parameter coupling criteria of acoustic emission time sequence parameters, positioning events and surface strain, identifying rock fracture precursor types, and predicting fracture moments and areas by combining a Voight model inverse velocity method and a seismic source projection technology.

The invention discloses a deep tunnel surrounding rock mechanical parameter inversion method based on a three-dimensional brittle failure zone contour and sparrow optimization algorithm-information vector machine (SSA-IVM) combined optimization algorithm. The engineering technical problem that due to the fact that excavation instantaneous displacement is difficult to monitor, deep tunnel surrounding rock mechanical parameters are difficult to reasonably obtain through displacement back analysis is solved. The method comprises the following steps: firstly, constructing a tunnel FLAC3D numerical simulation model with the same ground stress condition at the occurrence position of a three-dimensional brittle failure zone; secondly, taking an absolute error between the total number of computational grid units in the actually measured brittle failure zone and the total number of computational grid units entering a plastic state in the range of the actually measured brittle failure zone after calculation of the FLAC3D numerical model as an optimization objective function; and then, by taking the tunnel surrounding rock mechanical parameters as optimization variables and taking a target function reaching a global minimum value as a target, performing global optimization by combining a tunnel FLAC3D numerical model and adopting an SSA-IVM joint optimization algorithm, thereby obtaining reasonable tunnel surrounding rock mechanical parameters.

The invention provides a fracture deformation-seepage cross-scale visualization experiment device and a test method, and relates to the technical field of hydraulic rock mechanics and measurement. Comprising a macroscopic observation assembly, a microscopic observation assembly, a microscopic seepage model, a temperature-stress-seepage loading system, a monochromatic coaxial light source and a data acquisition and analysis system, the microscopic seepage model is used for placing a fractured rock mass; the temperature-stress-seepage loading system is used for injecting fluid with fluorescent microspheres into the microcosmic seepage model, applying load, regulating and controlling temperature and collecting data; the data acquisition and analysis system is used for processing data and images. By arranging the macroscopic observation assembly and the microcosmic observation assembly, double-scale synchronous observation is achieved, the whole process of fracture internal fluid interface evolution and rock mass deformation can be obtained in real time under the multi-physics field coupling conditions of temperature, stress, seepage and the like, visual correlation of deformation, flow and stress is achieved, and the measurement accuracy is improved. And an experimental basis is provided for establishing a fracture multi-field coupling mechanism model.

The invention relates to the technical field of mining engineering, in particular to a goaf blasting parameter design scheme optimization method and system. The method comprises the following steps: analyzing stratum complexity based on goaf distribution and fracture density; according to the rock mechanical parameters and the stratum stress data, the rock anti-knock strength is calculated; the dynamic stability of the goaf is evaluated, and a blasting adaptability coefficient is obtained through the stratum complexity, the rock anti-explosion strength and the dynamic stability; calculating an energy balance coefficient by utilizing the stratum disturbance energy and the blasting energy utilization rate; and based on a genetic algorithm, in combination with the blasting suitability coefficient and the energy balance coefficient, obtaining a goaf blasting parameter design optimal scheme. The method is suitable for underground or open blasting engineering with the goaf, accurate matching of blasting parameters, stratum conditions, goaf stability and engineering actual effect can be achieved, and the problem that goaf blasting safety control, operation efficiency and implementation effect are difficult to comprehensively consider is solved.

A method for evaluating shale compressibility logging based on game theory, comprising: step 1 of preparing rock core data, conducting experiments, and obtaining rock mechanical parameters and experimental rock physical parameters; step 2 of establishing a relationship between the rock mechanical parameters and the experimental rock physical parameters; step 3 of establishing a relationship between the rock mechanical parameters and the experimental rock physical parameters to predict the formation pore pressure based on the well logging rock physical parameters; step 4 of establishing a relationship between the laboratory and field logging rock physical parameters; step 5 of constructing a geostress calculation model for the research block formation and further obtaining related parameters; step 6 of obtaining the main controlling factors of shale compressibility geomechanics by normalizing the oil recovery intensity; step 7 of obtaining the main expression parameters and ranking of the relatively independent shale compressibility; and step 8 of determining the shale compressibility index. [Effects] A method for evaluating shale compressibility has been established with high accuracy.

The invention provides a water bank slope structural surface rock mass shear creep test system and method under a dry-wet cycle, relates to the technical field of rock mechanical property test, and aims to accurately reproduce a dry-wet cycle-stress coupling working condition of a rock mass structural surface under a complex environment. In the device, the direct shear apparatus comprises a loading frame and a loading and sliding device mounted on the frame, and provides a stable mechanical loading basis for a test; the shear box is used for accommodating a rock sample containing a structural surface, and the lower shear box adopts a lengthened design, so that the shear area in the whole shear process can be ensured to be constant; the dry-wet cycle environment simulation cabin is fixed in the loading frame, hermetically wraps the shear box and is integrated with a water soaking subsystem and a drying subsystem, the water soaking subsystem can adjust the water level height and water pressure in the simulation cabin, and the drying subsystem can dry a rock sample, can reproduce the sun illumination radiation condition and is matched with the water soaking subsystem to realize periodic dry-wet cycle; and the coupling effect of dry-wet cycle and mechanical loading is realized.

The invention discloses a rock shear seepage coupling true triaxial test system, which relates to the technical field of rock mechanical tests, and comprises a host, a sigma 1 / sigma 2 direction loading module, a sigma 3 direction confining pressure module, a pressure chamber auxiliary system, a sample clamp, a pore water seepage system, a temperature system, a control module and a data acquisition and processing module, through servo closed-loop linkage double-pump loading in the sigma 1 / sigma 2 direction, synchronous output of the double pumps and coordination of pressure supply of the two oil cylinders by the controller, a strain correction algorithm is combined, stability of a stress loading center is guaranteed, strain measurement accuracy is improved, confining pressure is accurately controlled in the sigma 3 direction through a double-balance pressure chamber and a pressure regulation algorithm, and the stress measurement accuracy is improved. The pressure chamber is in full-automatic operation, manual steps are omitted, errors are reduced, efficiency is improved, a stress-free blank angle clamp eliminates friction interference, a seepage system supports a double-loading mode, a control module achieves multi-control-mode impact-free switching, a data processing module is combined with an elastic modulus calculation algorithm, rock mechanical parameters are accurately obtained, and the multi-field coupling test requirement is met.

The invention relates to the technical field of geological engineering, provides a mixed rock kinetic parameter prediction method based on deep learning, and aims to improve the rock mechanical parameter prediction accuracy. Features are extracted based on preprocessed multi-source heterogeneous data, a graph neural network is constructed, and a double-deep learning model is constructed and trained; and predicting kinetic parameters based on the trained double-deep learning model. By adopting the mode, the rock mechanical parameter prediction accuracy is improved.

The invention relates to the field of mine disaster prediction, and discloses an AI-based mine disaster prediction and risk assessment method, which comprises the steps of deploying a multi-source sensor network which comprises a microseismic monitoring sensor, a gas concentration sensor, a stress sensor and a hydrological sensor, the data acquisition module is used for acquiring micro-seismic waveform data, gas concentration time sequence data, stress data and hydrological parameter data of a mining working face, a roadway and a geological structure area; and performing space-time alignment processing on the microseismic waveform data, the gas concentration time sequence data, the stress data and the hydrological parameter data to generate a space-time aligned heterogeneous data set, and performing encryption feature interaction with an external system through a federated learning framework. According to the method, a multi-modal deep learning model is constructed, microseismic waveforms, gas concentration time sequences and geologic structure space correlation characteristics are extracted, rock mechanics equation constraint conditions are injected in model training, and the recognition capacity of rock stratum fracture precursor signals and the disaster chain coupling process is remarkably enhanced.

The invention relates to the technical field of rock mechanics and deep stratum reconstruction engineering, and discloses a method for determining a roof rock stratum fracturing horizon based on multi-scale rock mechanics characterization, and the method comprises the following steps: firstly, obtaining drilling cuttings to prepare a nanoindentation test piece, and carrying out gridding dotting test and mineral scanning; secondly, calculating micromechanical parameters such as reduction modulus, fracture toughness, elastic index and plastic work ratio based on test data; constructing a macroscopic mechanical model by utilizing the microscopic parameters and the mineral distribution characteristics to carry out numerical simulation to obtain a macroscopic elastic modulus and uniaxial compressive strength; and finally, performing normalization and weighting processing on macro and micro parameters, constructing a comprehensive compressibility index and a comprehensive brittleness index, and optimizing a target fracturing layer position and a perforation position according to the comprehensive compressibility index and the comprehensive brittleness index. According to the method, cross-scale coupling of microscopic component attributes and macromechanical response is achieved, the problem of parameter acquisition caused by heterogeneity of deep rock strata is solved, the limitation of single-scale evaluation is overcome, and the fracture horizon identification precision and the engineering success rate are improved.

The invention provides a productivity evaluation method for a tight gas reservoir horizontal well, and relates to the technical field of tight gas reservoirs, and the method comprises the following steps: obtaining well logging sensitive parameters and rock mechanical parameters of the tight gas reservoir horizontal well; based on the logging sensitive parameters and a comprehensive index model, comprehensive indexes corresponding to different reservoirs in the horizontal well are calculated; based on the comprehensive index, the logging sensitive parameter and the rock mechanical parameter, determining a geological dessert level and an engineering dessert level corresponding to the reservoir; and carrying out productivity evaluation on the horizontal well based on the geological dessert level and the engineering dessert level corresponding to the reservoir. Therefore, the geological sweet spots can be accurately identified based on different data dimensions through the comprehensive indexes determined by the logging sensitive parameters having great influence on lithology and the logging sensitive parameters, collaborative evaluation is performed through the geological sweet spots and the engineering sweet spots, the reservoir capacity and the transformation capacity of the reservoir capacity are considered at the same time, and the accuracy of capacity prediction is remarkably improved.

The invention discloses a research method for a crack evolution law of fractured rock under thermal-mechanical coupling, and belongs to the technical field of rock mechanics. Aiming at the problem that most indoor tests and numerical simulation at present still lack systematic research on crack initiation, polymerization and failure behaviors of cracks in a multi-crack rock mass under the action of high temperature-stress coupling, the method comprises the following steps: defining an interaction coefficient and a thermal damage influence coefficient between the cracks on the basis of a tangential stress distribution theory around the cracks; establishing a tangential stress model sum of the inner and outer surfaces of the crack comprehensively considering the coupling effect of the two to predict a potential crack initiation position; based on a crack mode displacement decomposition method, defining a displacement ratio coefficient gamma, and quantifying a displacement field of rock material cracks; on the basis, the rock sample is subjected to mechanical test and PCF numerical simulation, and the crack evolution law of the rock sample containing the prefabricated crack under thermal-mechanical coupling is researched. Theoretical support and experimental basis can be provided for stability evaluation and safety control of deep high-temperature rock mass engineering.

The invention provides a strike-slip fracture derived fracture parameter prediction method and system, and belongs to the field of oil and gas field exploration and development. The method comprises the following steps: based on three-dimensional seismic data interpretation data, establishing a three-dimensional geologic model; carrying out mechanical parameter assignment and gridding processing on the three-dimensional geologic model in sequence based on predetermined rock mechanical parameters to obtain a three-dimensional grid model; based on the three-dimensional grid model and predetermined geological model boundary conditions, solving stress data corresponding to each grid in the three-dimensional grid model to obtain stress distribution data corresponding to a strike-slip fracture formation period; and based on the exploration data and the stress distribution data corresponding to the strike-slip fracture formation period, predicting the occurrence and development degree of the strike-slip fracture derived tectonic fracture to obtain a strike-slip fracture derived fracture parameter prediction result. The purpose of quantitatively predicting the occurrence and development degree of the derived fracture in the strike-slip fracture forming process is achieved, and the problem of parameter prediction of the derived fracture in the strike-slip fracture forming process is solved.

The invention discloses a formation collapse pressure prediction method based on a feature marking physical information neural network, and relates to the technical field of oil exploration and development. The method comprises the following steps: collecting multi-scale data of logging, earthquakes, cores and the like, and constructing a physical constraint framework in combination with a well track stress field model; a data enhancement module combining expert knowledge and a Beta distribution mixed strategy is utilized to carry out interpolation on missing values and generate an enhanced data set conforming to geological laws; a multi-head self-attention encoder comprising a feature word segmentation device and a Transform is constructed, original parameters are converted into embedded vectors, and deep interaction features are mined; a physical consistency measurement function based on a collapse pressure mechanism is introduced, and a total loss function containing data loss and physical loss is constructed for joint optimization. According to the method, the problem of geological sample scarcity is effectively solved, it is ensured that the prediction result meets the rock mechanics equilibrium condition, and the prediction precision and robustness of the complex formation collapse pressure are remarkably improved.

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 relates to the technical field of rock mechanical property testing, in particular to a rock shear strength parameter machine learning prediction method and system.The method comprises the following steps that rock shear strength parameter prediction indexes and rock shear strength parameters are determined, and a sample database is established; improving a sparrow search algorithm by using improved Tent chaotic mapping, a dynamic adaptive weight, a Levy flight strategy and a Cauchy Gaussian mixed variation mechanism; training the Stacking integrated model by using the sample database, and optimizing hyper-parameters in the Stacking integrated model by using an improved sparrow search algorithm to obtain a rock shear strength prediction model; and predicting rock shear strength parameters by using the rock shear strength prediction model, and evaluating the contribution degree of each rock shear strength parameter prediction index by using an SHAP interpretability method. According to the invention, high-precision prediction of rock shear strength parameters can be realized, and the problems of long period, high cost and the like in the existing rock shear strength determination test can be effectively avoided.

The invention provides an in-situ rock mechanical parameter detection method, device and system.The in-situ rock mechanical parameter detection method comprises the steps that an in-situ test point of a to-be-detected rock is determined, and the to-be-detected rock is preprocessed; performing in-situ acoustic detection, in-situ optical detection and in-situ electromagnetic inversion detection on the in-situ test point of the rock to be detected to obtain detection data; the detection data comprises an ultrasonic signal, a hyperspectral image and electromagnetic data; performing deep fusion processing on the detection data to obtain fused data; and calling a pre-trained multi-physics field coupling model, carrying out real-time comprehensive analysis on the fusion data, and determining mechanical parameters of the rock to be tested. By means of the method, information loss caused by sample disturbance or single testing means in a traditional method is avoided, mutual influence and correlation of different physical quantities in the in-situ environment are fully considered, and the problem that an existing rock mechanical parameter detection method is single is solved.

The invention relates to the technical field of oil and gas well wall stability and fracturing yield increase development, in particular to a deep high-temperature rock statistical damage constitutive model construction method which comprises the following steps: performing mineral component and microstructure analysis on a deep rock core by adopting XRD (X-Ray Diffraction) and SEM (Scanning Electron Microscope) technologies, and performing quantitative statistics on mineral content to obtain a deep high-temperature rock statistical damage constitutive model. The method comprises the following steps: acquiring rock brittleness and plasticity characteristic basic data, performing a triaxial compression test by adopting a high-temperature triaxial compressor, and establishing a constitutive model capable of reflecting deep high-temperature rock damage; according to the mechanical characteristics of the deteriorated rock due to temperature rise, the provided model is verified to accurately simulate stress-strain curves of a sample in each stage of a single axis and a conventional three axis under different temperatures and confining pressures, the rationality of indexes is verified, and the deep high-temperature rock statistical damage constitutive model is obtained. The method solves the problem that in the prior art, a statistical damage constitutive model capable of accurately reflecting stress-strain characteristics of the deep high-temperature rock at each stage of a single axis and a conventional three axis under different temperatures and confining pressures is lacked.

The invention discloses a coal mine geological data three-dimensional modeling and transparent working face construction method and system. The method comprises the steps that multi-source geological and production data are collected and preprocessed; constructing a refined three-dimensional geologic body model based on multipoint geostatistics and a collaborative Kriging method; fusing the roadway model through Boolean operation; dynamically constructing a working face model by using real-time mining data; when a model error exceeds a threshold value, dynamic updating based on data assimilation is triggered; and finally, realizing model integration and transparent display in a three-dimensional visualization engine. According to the method, multi-point geostatistics and collaborative Kriging interpolation are fused, multi-source data such as geological drilling and three-dimensional earthquakes are integrated, the depicting precision of complex geological structures such as faults and collapse columns is greatly improved, the geometrical shape of the constructed three-dimensional geologic body model is more vivid, rock mechanics parameters are integrated, and the method is suitable for large-scale popularization and application. The problem that an existing three-dimensional geologic model is limited in precision is solved.

The invention discloses a tunnel slotting blasting parameter intelligent design method and system based on while-drilling sensing and dynamic optimization, and the method comprises the steps: S1, carrying out the real-time inversion of geological parameters based on a while-drilling signal frequency spectrum, and evaluating the rock mass quality; s2, determining slotting hole arrangement through a slotting mode decision tree according to the evaluated rock mass quality and a dynamic surrounding rock classification result; s3, based on the rock mechanics parameter library, the explosive loading amount of a single slotting hole is calculated through an explosive loading amount dynamic equation; and S4, through vibration propagation numerical simulation and three-dimensional scanning, the slotting hole arrangement and the explosive loading amount of a single slotting hole are verified, blasting parameters are corrected according to the verification result, and design is completed. According to the method, through a collaborative mechanism of rock mass parameter real-time sensing, blasting energy dynamic distribution and safety effect closed-loop verification, the core purposes of reducing the over-excavation condition, improving the construction efficiency and reducing the construction cost are achieved. According to the method, the blasting precision and the construction efficiency are remarkably improved, the over-excavation and under-excavation phenomena are reduced, and the safety risk is reduced.

The invention provides a rapid evaluation method for shear strength of a rock structural plane under normal disturbance, and belongs to the technical field of geotechnical engineering and rock mechanics, the method comprises the following steps: S1, sample preparation and initial parameter acquisition; s2, normal disturbance direct shear test; s3, fitting test data and establishing an empirical model; and S4, rapidly evaluating the shear strength. According to the method, by introducing a normal disturbance stress parameter, an empirical calculation formula capable of rapidly predicting the shear strength after disturbance is established, and key parameters are provided for engineering design and stability analysis.

The invention discloses an impact-outburst hybrid dynamic disaster prediction method based on energy chain type evolution, and relates to the technical field of coal mine underground dynamic disaster prediction. According to the method, roadway impact-outburst hybrid dynamic disaster energy under different surrounding rock mechanical parameters, gas parameters and impact load parameters is solved through automatic numerical simulation, and an impact-outburst hybrid dynamic disaster energy data set under various working conditions is automatically constructed. The invention provides a CNN-LSTM-Attention roadway impact-outburst hybrid dynamic disaster energy prediction model with energy and spatial feature constraints, the CNN model extracts roadway spatial features, the LSTM model obtains an energy sequential sequence, Attention automatically allocates space-time double-region attention mechanism weights, the three models are cooperatively fused, and the energy prediction efficiency of the roadway impact-outburst hybrid dynamic disaster energy prediction model is improved. And the energy prediction accuracy of the roadway impact-outburst hybrid dynamic disaster is improved.

The invention relates to the technical field of coal mining and rock mechanics numerical simulation, and discloses a stress field reconstruction method of a plane strain numerical simulation model for coal mining, and the method comprises the following steps: firstly, obtaining an actually measured vertical stress increment and an actually measured bearing pressure peak value position of a stope face; then, an initial plane strain numerical simulation model is constructed, the space error between the peak position of the simulated bearing pressure and the actual measurement position meets a preset threshold value by adjusting the excavation step pitch, and therefore the numerical simulation calculation state is locked to eliminate space-time dislocation; a simulation strain increment is extracted in a locked state, a theoretical vertical stress difference equation is constructed based on an elastic mechanics plane strain constitutive relation, and a parameter inversion equation set is established in combination with multi-measurement-point data; and solving the corrected elastic modulus and Poisson's ratio by using a least square optimization algorithm. According to the method, through physical state locking and incremental theory inversion, system errors are effectively eliminated, and the reconstruction precision and mechanical preciseness of the mining-induced stress field are improved.

The invention discloses a hydrothermal type geothermal efficient exploitation and irrigation intelligent operation maintenance system, and the system comprises a data processing module which is used for carrying out the multi-dimensional and multi-physical-field precise digital mapping of a geothermal reservoir to ground equipment, and obtaining the dynamic change process of the geothermal reservoir and the ground equipment under different working conditions; the data processing module comprises a thermal reservoir geologic model, a THMC coupling simulation model and a ground facility system model, the thermal reservoir geologic model is used for representing a three-dimensional space structure and initial physical property parameter distribution of a geothermal reservoir, and the THMC coupling simulation model is constructed based on the geologic model. The ground facility system model simulates fluid flow, heat transfer, rock mechanics and chemical reaction processes and is used for simulating the working state of ground equipment from a wellhead of a production well to a wellhead of a recharge well; and the execution module is used for driving the variable frequency pump to perform stepless speed regulation so as to change the total flow and pressure of the system, and driving the regulating valve to perform opening regulation so as to realize flow distribution and pressure control, thereby forming an intelligent control loop.

The invention discloses a quantitative evaluation method for shale brittleness based on bedding characteristics, and relates to the field of petroleum and natural gas engineering, in particular to the quantitative evaluation method for the shale brittleness based on the bedding characteristics in the exploration and development process, and the quantitative evaluation method comprises the following steps: taking a rock sample from shale at a target layer to obtain the maximum Young modulus of a block; calculating a macroscopic brittleness index; processing the rock sample into a cuboid rock block for a nanoindentation experiment, calculating an interlayer heterogeneous coefficient between two corresponding adjacent probes according to mechanical parameters at the same transverse position between stratums so as to obtain a microscopic brittleness index, and calculating the total brittleness index of the rock by combining the microscopic brittleness index with the macroscopic brittleness index; microcosmic rock mechanics experimental data between different stratums of shale are tested on the basis of nanoindentation for the first time, heterogeneity between different stratums is quantitatively calculated, quantitative evaluation of shale rock microscopic brittleness is achieved, and compared with a conventional macroscopic evaluation method, quantitative evaluation is further improved.

The invention relates to a pile-anchor composite foundation bearing capacity exerting coefficient calculation method, medium, calculation device and system, and the method comprises the steps: obtaining the rock mechanical parameters of each layer of geology of an area where a pile-anchor composite foundation is arranged, initializing the parameters of the pile-anchor composite foundation based on a design load, building an interface bonding-sliding constitutive model according to the rock mechanical parameters, and calculating the bearing capacity exerting coefficient of the pile-anchor composite foundation; a pile-anchor composite foundation load transfer calculation model under the current geological condition is established, the uplift bearing capacity of the pile-anchor composite foundation is calculated through the load transfer calculation model and pile-anchor composite foundation parameters, the uplift bearing capacity of the upper pile foundation and the uplift bearing capacity of the lower anchor rod foundation are extracted, and bearing capacity exerting coefficients are calculated; the invention discloses a method-based implementation medium and system. The calculation device comprises an acquisition module, a model construction module and a calculation module. According to the invention, the field workload is reduced, the engineering cost is reduced, the working state of the pile-anchor composite foundation under various geological conditions is finely simulated, and the operation is convenient.

The invention belongs to the technical field of geotechnical engineering and rock mechanics testing, discloses a stress-strain mixed control-based rock stable failure testing method, and aims to solve the problem that a stress path cannot be maintained and brittle failure cannot be inhibited simultaneously after rock peak strength is detected in an existing true triaxial test. The method comprises the following core steps: firstly, determining a target stress state and a strain growth rate threshold value; then hydrostatic pressure loading is carried out; loading and unloading at a fixed proportional rate in a stress control mode; and when the strain rate reaches a threshold value, switching to a stress-strain hybrid control mode, converting the maximum principal stress direction into strain control to stabilize the damage process, and dynamically coordinating stresses in the other two directions based on real-time feedback to enable the whole damage process to maintain a preset stress path all the time. According to the invention, the complete and stable test of the pre-peak-post-peak mechanical behavior of the rock under any complex stress state can be realized, and a key technical support is provided for accurately verifying the strength criterion and researching the failure mechanism.

The invention discloses a method and system for simulating a reservoir crustal stress field, and the method comprises the steps: obtaining the development characteristics of a natural fracture in a to-be-researched region, and constructing a fracture model for simulating the actual distribution state of the natural fracture; acquiring a seismic data volume of the to-be-studied area and development, distribution and seismic response characteristics of the holes, and on the basis of the seismic data volume and the development, distribution and seismic response characteristics of the holes, acquiring seismic response characteristics and spatial distribution characteristics of the karst caves and the natural fractures by combining the fracture model, and further acquiring distribution characteristics of the fractured karst so as to construct a fracture-cavity model for simulating the actual fracture-cavity distribution state; the method comprises the following steps: respectively acquiring dynamic parameters and static parameters of rock mechanics of a to-be-studied area, acquiring a correlation between the dynamic parameters and the static parameters, and establishing a mechanical parameter field model based on the current correlation in combination with a fracture-cavity model to obtain a crustal stress field simulation model of the to-be-studied area. According to the invention, effective simulation of the reservoir crustal stress field is realized.

The utility model relates to the technical field of rock mechanical tests, in particular to a true triaxial mechanical test device applied to variable-angle repeated loading and impact disturbance, which comprises a variable-angle transmission mechanism. The variable-angle transmission mechanism comprises a variable-angle transmission main body, variable-angle transmission assemblies symmetrically arranged at the two ends of the variable-angle transmission main body, a box body arranged on the peripheries of the variable-angle transmission main body and the variable-angle transmission assemblies and a force transmission assembly arranged on the box body, and the variable-angle transmission main body comprises a plurality of transmission modules arranged in an array mode in the circumferential direction of the Y axis; the variable-angle transmission assembly comprises a transmission rod and a limiting transmission plate, the limiting transmission plate is arranged in the test piece containing cavity, the transmission rod is fixedly connected with the limiting transmission plate, and when the transmission rod rotates, the limiting transmission plate is driven to rotate so as to drive the variable-angle transmission main body to rotate; therefore, the rock test piece arranged in the test piece accommodating cavity rotates, and the stress direction angle of the roadway in the rock test piece is changed.