59 results about "Rock breakage" patented technology

The invention provides a deep-buried tunnel TBM vibration and excavation unloading fracture micro-seismic discrimination method and system, and relates to the technical field of tunnel construction, and the method comprises the steps: obtaining micro-seismic event data in a target area; spatial classification is carried out according to the micro-seismic event data, and the influence range of the excavation unloading effect is obtained; performing region division according to the influence range to obtain a rock fracture signal after noise reduction; performing multi-layer decomposition on the rock fracture signal by using wavelet transform to obtain a characteristic parameter set; performing energy grading according to the characteristic parameter set to obtain a grading result; constructing a discrimination standard according to the grading result to obtain the discrimination standard; and performing discrimination based on the discrimination standard to obtain a discrimination result. According to the method, the dynamic model is constructed based on the multi-energy-level discrimination standard, main control factor classification is performed on the real-time micro-seismic event, real-time dynamic discrimination of TBM vibration and excavation unloading fracture in the construction process is achieved, and the early warning timeliness of time-delay rock burst is 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 rock fracture prediction method and system based on a resistivity data assimilation algorithm, and the method comprises the steps: building a numerical model for simulating the asymptotic fracture process of a rock mass under the load effect according to the boundary conditions and initial conditions of the rock mass; simulating the stress damage process of the rock mass by using a numerical calculation method to obtain prediction data of stress field and fracture damage field distribution of the rock mass; monitoring the damage process of the rock mass sample in real time by using a high-density electrical method to obtain observation data; rock mass fracture damage distribution is obtained based on observation data; an assimilation algorithm is adopted, information of observation data and information of prediction data are combined, and initial conditions or parameters of the numerical model are corrected; and then corrected rock fracture prediction data is obtained. Through the data assimilation algorithm, different data and model simulation results are fused in the power frame of rock fracture, the model track is automatically adjusted continuously depending on observation, the analysis result with higher precision and more consistency is obtained, and the prediction precision and predictability of the model are improved.

The invention relates to the technical field of underground geotechnical engineering and tunnel construction monitoring, in particular to a shield tunneling rock stratum real-time judgment method. The method comprises the steps that according to signals of neutron radiation characteristics released when different lithologic samples are fractured under a shield tunneling stress path simulated in a laboratory, a knowledge base of the neutron radiation characteristics of a rock stratum is constructed; deploying an on-site multi-source data acquisition system, and acquiring data of neutron radiation characteristics and shield tunneling parameters; jointly forming a fusion feature vector according to the data of the neutron radiation features and the shield tunneling parameters; the method has the advantages that signals of neutron radiation characteristics released in the rock fracture process are directly monitored, the signals are fused with shield tunneling parameters in a multi-source mode, a machine learning model is combined, and the lithology classification probability and the rock mass integrity index are obtained. Real-time and accurate discrimination of lithology and integrity of a front rock stratum is realized, physical characteristics of a rock mass are reflected, and a discrimination effect is continuously optimized.

This disclosure relates to a rock thermal shock experimental apparatus, experimental method, and rock fracture evaluation method. The rock thermal shock experimental apparatus includes a true triaxial system, a liquid supply system, and a temperature measurement system. The true triaxial system is used for triaxial confining pressure loading and heating of the rock sample. Thermal shock boreholes and temperature measurement boreholes are drilled on the rock sample. The liquid supply system includes an inlet pipeline for injecting liquid into the thermal shock boreholes and a supply pump connected to the inlet pipeline, as well as an outlet pipeline for discharging the liquid. The temperature measurement system includes multiple temperature measuring devices, with temperature measuring devices arranged at least inside the thermal shock boreholes and inside the temperature measurement boreholes. The rock thermal shock experimental apparatus of this disclosure can realistically simulate the impact of underground fluids on rocks, achieving the thermal shock effect by creating an effective temperature difference between the heated rock sample and the injected cold liquid. The rock fracture evaluation method can quantitatively analyze the relationship between temperature and rock fracture under thermal shock.

The invention relates to the technical field of rock mass fracture identification, in particular to a rock fracture acoustic emission signal intelligent identification method under the action of high and low temperature cycling, which comprises the following steps: making a rock test piece, and obtaining acoustic emission data in the rock fracture process; dividing the acoustic emission data into a temperature damage stage and a stress fracturing stage on the basis of the corresponding relationship between acoustic emission count, amplitude frequency and energy in the acoustic emission data and stress; performing wavelet packet transformation and Hilbert-Huang transformation on waveforms in the acoustic emission data set after stage division, and extracting to obtain waveform modal features; preprocessing waveform modal features; a multi-modal recognition model based on an Inceptionv3 branch network structure is constructed, and the multi-modal recognition model is trained and tested; and inputting acoustic emission data collected in real time under different high and low temperature difference cycles into the tested multi-modal recognition model, and further evaluating the classification performance of the model. According to the method, accurate classification of the rock fracture acoustic emission signals in the temperature damage stage and the stress fracturing stage is realized.

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.

This invention belongs to the field of petroleum exploration and discloses a quantitative characterization method for structural fracture parameters based on the coupling of the minimum energy consumption and minimum action principle. To overcome the shortcomings of existing technologies in achieving quantitative prediction of structural fractures from qualitative description, this invention first calculates the energy consumption of fracture rupture through rock mechanics experiments; then, it couples the minimum energy consumption principle and the minimum action principle to establish a rock fracture criterion; based on this, it derives and establishes quantitative characterization models for fracture aperture, volumetric density, and linear density; subsequently, it constructs a heterogeneous mechanical parameter volumetric model and performs elastoplastic geostress field simulation; finally, it achieves batch prediction of structural fracture parameters through programming, and verifies the reliability of the prediction results using core, imaging logging, and production dynamic data. This invention, starting from the physical essence of energy distribution and path selection, provides a unified theoretical framework for rock fracture and significantly improves the prediction accuracy of fracture "sweet spots."

The invention discloses a fuel gas rock cracking agent and a preparation method thereof, and belongs to the technical field of gunpowder. In order to solve the technical problems of danger in reprocessing of propellant powder, low utilization rate, environmental pollution and the like, the invention provides a gas rock cracking agent which comprises the following components: 25-75% of main charge, 20-70% of performance regulator and 2-5% of curing agent, the main charge is at least one of single-base propellant powder, double-base propellant powder or three-base propellant powder, the performance regulator is at least one of ammonium nitrate, potassium nitrate, sodium nitrate and ammonium dinitramide, and the curing agent is nitrocotton. The gas rock cracking agent is stable and free of overall explosion hazard, has the characteristics of low vibration, controllable flying rocks, clean products and the like when being used for rock cracking, and can well meet rock cracking operation under sensitive environments and various special working conditions; by adopting a wet mixing process, the fire blast risk caused by friction and static electricity in the mixing process of the propellant powder and the performance regulator can be effectively reduced.

This invention discloses a real-time monitoring and early warning system for rock fracture induced by disturbance in deep fluidized bed mining, comprising: a multimodal sensor array for synchronously acquiring acoustic emission / microseismic signals from deep rock masses and key environmental disturbance parameters during fluidized bed mining; a data acquisition and transmission module; an environmental noise modeling and feature characterization module; a context-aware signal separation and enhancement module; and a rock fracture feature extraction and event recognition module. This invention relates to the field of mine safety monitoring technology. This real-time monitoring and early warning system for rock fracture induced by disturbance in deep fluidized bed mining provides rich contextual information through the multimodal sensor array. Combined with environmental noise modeling and a deep learning-based context-aware signal separation and enhancement module, this invention can effectively identify and suppress the complex and dynamic background noise unique to deep fluidized bed mining, ensuring that weak rock fracture signals are no longer drowned out.

This invention provides an artificial intelligence-based multiphysics monitoring method for predicting rock fractures, comprising: conducting indoor rock physical hydraulic fracturing experiments and performing multiphysics monitoring; constructing a training dataset: performing the experiments on different rock samples to obtain data, forming a total dataset; constructing a fracture prediction module based on a sequence-to-sequence framework; training a detection network using the training dataset; performing the same preprocessing steps on all data obtained from actual monitoring, inputting observation data before the current time t, and obtaining the predicted fracture result at time t+1; and updating the dataset and the fracture prediction module. This invention's artificial intelligence-based multiphysics monitoring method for predicting rock fractures adaptively integrates and analyzes multiphysics monitoring results to predict the rock fracture development process and the fracture process itself.

The present invention pertains to a system and method to determine rock fracturing during the breaking process, specifically when using rock breakers in the mining industry. More precisely, the present invention relates to a system and a method that, using sensory information composed of images, point clouds, or both, automatically determines, in real time, whether a rock which a rock breaker is attempting to break is fractured or not.

The invention belongs to the field of oil exploration, and discloses a quantitative characterization method for tectonic fracture parameters based on minimum energy consumption-minimum action principle coupling. In order to overcome the defect of difficulty in realizing qualitative description to quantitative prediction of a tectonic fracture in the prior art, the method comprises the following steps: firstly, calculating fracture energy consumption through a rock mechanics experiment; coupling a minimum energy consumption principle and a minimum action quantity principle, and establishing a rock fracture criterion; on the basis, a quantitative characterization model of the fracture opening, the volume density and the linear density is deduced and established; then constructing a heterogeneous mechanical parameter body model and carrying out elastic-plastic crustal stress field simulation; and finally, batch prediction of tectonic fracture parameters is realized through programming, and reliability verification is carried out on a prediction result by using rock core, imaging logging and production dynamic data. According to the method, a unified theoretical framework is provided for rock fracture from the physical essence of energy distribution and path selection, and the prediction precision of the crack sweet spot area is remarkably improved.

The present invention discloses a monitoring and evaluation system for the instability of geological structures induced by geothermal drilling construction, which relates to the technical field of geological monitoring. The system includes a data acquisition module that divides a selected area into multiple sub-areas, and monitors the average value of rock fractures in multiple areas, the settlement values detected by n settlement sensors, the crack values detected by m displacement sensors, and the compressive strength values of y soils detected by a pressure test method; a data evaluation and analysis module that evaluates and analyzes the data values that do not reach the standard threshold values during the comparison of the various data values collected by the data acquisition module with the respective standard threshold values to obtain instability data such as rock fracture differences, terrain change values, and soil relaxation differences, and then generates an instability index, avoiding the need to monitor a large amount of data. At the same time, through the comprehensive evaluation of multiple groups of data, it ensures the accurate monitoring and evaluation of the geological instability situation, and avoids the calculation of a large number of inclinations and geometric dimensions.

The application discloses a rock fracture prediction method and system based on a resistivity data assimilation algorithm, and comprises the following steps: establishing a numerical model for simulating the gradual fracture process of a rock mass under load action according to the boundary conditions and initial conditions of the rock mass; simulating the stress failure process of the rock mass by using a numerical calculation method to obtain prediction data of the stress field and the fracture damage field distribution of the rock mass; monitoring the failure process of the rock mass pattern in real time by using a high-density electrical method to obtain observation data; obtaining the fracture damage distribution of the rock mass based on the observation data; combining the information of the observation data and the prediction data by using an assimilation algorithm to correct the initial conditions or parameters of the numerical model; and further obtaining the corrected rock fracture prediction data. The application fuses different data and model simulation results in the dynamic framework of rock fracture by using the data assimilation algorithm, constantly adjusts the model trajectory automatically by relying on observation, obtains higher-precision and more consistent analysis results, and improves the prediction accuracy and predictability of the model.

The application discloses a microseismic rock breaking signal simulation device, which comprises a microseismic signal simulation system and a microseismic monitoring system which are coupled, the microseismic signal simulation system is used to repeatedly generate the same knocking signal, the microseismic signal simulation system comprises PC control software, a knocking circuit control board and a sensor knocking frame, the PC control software is connected with the knocking circuit control board, realizes the issuing of a working instruction, the knocking circuit control board transmits an instruction to the sensor knocking frame, and controls the knocking strength and the knocking frequency of the sensor knocking frame, and the microseismic monitoring system receives the knocking signal generated by the sensor knocking frame and visually displays the same; the application can repeatedly generate the same knocking signal, and can also sequentially generate the signal to simulate the rock breaking signal in an indoor environment for the research and development and maintenance of the microseismic monitoring system.

The invention relates to the technical field of shale gas geology, in particular to a method for depicting a breaking joint body in a breaking joint body development area, and the method comprises the steps: firstly, generating an initial breaking joint body probability body based on interpretable machine learning fusion seismic attributes, and building a three-dimensional space distribution model containing large and medium faults after manual interactive interpretation and well seismic calibration; on the basis, large and medium-sized faults serve as a deterministic skeleton, a fracture development rule is predicted in combination with paleotectonic stress field simulation and a rock fracture criterion, a three-dimensional discrete fracture network model constrained by geomechanics is constructed and then coupled with a matrix model, and a model set is generated by defining an uncertainty parameter space. And screening out an equivalent model group through historical matching, performing prediction verification and iterative optimization by using recent production data, and finally obtaining a three-dimensional space distribution model of the high-precision breaking joint body. According to the method, closed loop of static identification and dynamic verification is realized, and the depicting precision and the geological reliability are remarkably improved.

The present invention discloses a method for identifying and monitoring rock fracture states and related equipment. The method comprises: obtaining an acoustic emission signal of the rock fracture process; converting the acoustic emission waveform of the rock acoustic emission signal into a time-frequency graph of the acoustic emission signal; inputting the time-frequency graph of the rock acoustic emission signal into a neural network model, and classifying and identifying the time-frequency graph of the rock acoustic emission signal using the neural network model to determine whether the rock is in a fracture stage. Based on rock fracture acoustic emission data under different stress environments, the present invention converts the waveform of the acoustic emission data into a time-frequency graph, retaining all the waveform features while completing dimensionality upgrade of the acoustic emission data, and then using a convolutional neural network to classify the features of the time-frequency graph. Thus, the convolutional neural network model is used to determine the stage of rock fracture, enabling simple and convenient identification and monitoring of rock fracture stages, which can be used for disaster prevention and early warning in rock engineering and provide a basis for dynamic adjustment of operating parameters.

The present invention relates to the technical field of tunnel rockburst monitoring, and specifically discloses a distributed intelligent microseismic monitoring method and device for railway tunnel rockburst, which can obtain seismic wave signals from multiple angles based on distributed arrangement, improving the reliability of the recognition results; can adjust the energy level range and frequency bandwidth of the seismic wave analog signal, so that the seismic wave signal is maintained, improving the stability during signal transmission; at the same time, through the constructed D-S evidence theory model, different methods act together to obtain rock fracture signals from multiple signal categories, improving the accuracy of signal recognition, and further improving the safety of engineering construction.

This invention discloses a double-layer chain coordinated coal conveying control system and method for scraper conveyors, belonging to the technical field of fully mechanized mining face conveyors. The system includes a head chain control system, a tail chain control system, a coal conveying section, and a centralized control system. The coal conveying section includes a primary chain drive system and a secondary chain drive system arranged in parallel. Motors for driving the chain drive systems are installed in the head and tail chain control systems. The control method employs a three-layer deep reinforcement learning strategy. The first layer independently controls the motor speed synchronization and tension; the second layer coordinates the motor speed and tension, and incorporates a fault-clearing function for large coal and rock breakage; the third layer achieves global coordinated control under normal and fault conditions. This invention significantly improves the load capacity, operational reliability, and fault self-healing capability of scraper conveyors.

The invention provides a rock sample hydrofracture thermal-mechanical coupling loading experiment device and method, and belongs to the technical field of rock mechanics, the rock sample hydrofracture thermal-mechanical coupling loading experiment device comprises a frame, an upper base, an upper pressing plate, a lower base, a lower support, a fixing support, a rock sample, a loading system and a hydraulic control system; limitation of a traditional triaxial experiment is effectively overcome, true triaxial non-uniform stress and thermal coupling loading of a cylindrical rock sample is realized, an underground complex ground stress and temperature field can be simulated through 12 groups of confining pressure units and 8 partition heating systems, a positioning structure and a limiting system enhance the overall rigidity of a loading cylinder, and the loading cylinder can be used for loading a rock sample. Uniform stress transmission and stable measurement basis are ensured, the signal-to-noise ratio and precision of strain data are improved, the heat conduction frame and the sealing air bag ring are combined with multi-stage sealing and pressure relief design, reliability and safety under high temperature and high pressure are fundamentally ensured, and technical support is provided for deep research of a rock fracture mechanism and optimization of a fracturing process.

This invention provides an experimental apparatus and method for hydraulic fracturing and thermo-coupling loading of rock samples, belonging to the field of rock mechanics technology. The invention includes: a frame, an upper base, an upper pressure plate, a lower base, a lower support, a fixed bracket, a rock sample, a loading system, and a hydraulic control system. This invention effectively overcomes the limitations of traditional triaxial experiments, achieving true triaxial non-uniform stress and thermo-coupling loading of cylindrical rock samples. Through 12 confining pressure units and an 8-zone heating system, it can simulate complex underground stress and temperature fields. The positioning structure and limiting system enhance the overall rigidity of the loading cylinder, ensuring uniform stress transmission and stable measurement benchmarks, and improving the signal-to-noise ratio and accuracy of strain data. The heat-conducting frame and sealing airbag ring, combined with multi-stage sealing and pressure relief design, fundamentally guarantee reliability and safety under high temperature and high pressure, providing technical support for in-depth research on rock fracture mechanisms and optimization of fracturing processes.

The invention provides an ultra-deep well bottom rock brittle-plastic transition index obtaining method and an evaluation method, and relates to the technical field of rock mechanical parameter calculation, the method comprises the following steps: obtaining mudstone characteristic parameters of ultra-deep well bottom rock according to an ultra-deep well bottom rock theoretical stress-strain curve; determining an extra-deep well bottom rock energy block on the theoretical stress-strain curve; obtaining the relative magnitude of rock dissipated energy before the characterization peak, the relative magnitude of rock self-fracture capability after the characterization peak and the intensity of energy change in the characterization rock fracture process of the ultra-deep well bottom rock; and determining the rock brittleness-plasticity transformation index of the ultra-deep well bottom rock. The ultra-deep well bottom rock brittleness-plasticity transformation index provided by the invention can provide a theoretical basis for the development of key technologies such as drill bit model selection, well wall stability evaluation, fracturing construction transformation and efficient rock breaking acceleration during actual drilling.

A physical model test device and method for a photovoltaic-geothermal energy storage system, belonging to the technical field of laboratory simulation devices, includes a liquid storage tank, a high-pressure injection system, a fluid heating system, a core clamping system, a core constant temperature system, a confining pressure system, a liquid recovery system, an acoustic emission monitoring system, a temperature and pressure monitoring system, a permeability coefficient testing system, and a pipeline connection system. The present invention can carry out the process of circulating high-temperature and high-pressure fluid into rocks to induce rock fracture and seepage heat transfer to simulate the actual workflow of storing photovoltaic-heated fluid in geothermal energy storage formations. By conducting experiments on high-temperature and high-pressure fluid injection into rocks under different injection and production strategies, the dynamic evolution characteristics of the temperature field in the rock and the changing mechanism of thermal damage to the reservoir surrounding rock under different injection and production strategies can be clarified, providing corresponding technical theoretical support for maximizing the energy storage efficiency of the photovoltaic-geothermal energy storage system.

The invention belongs to the technical field of oil exploration, and discloses a crack propagation path quantitative prediction method based on a double extreme value principle. The method comprises the following steps: obtaining a stress-strain curve and related mechanical parameters through a rock mechanics experiment; constructing a rock fracture criterion based on a double extreme value principle; establishing a quantitative prediction model of the crack propagation angle and length; combining with three-dimensional tectonic stress field simulation to realize spatial prediction of a crack propagation path; and the reliability of the prediction result is verified through measured data. The method disclosed by the invention reveals a crack propagation mechanism from the perspective of energy evolution, has the advantages of solid physical foundation and adaptability to complex geological conditions, remarkably improves the precision of crack length and direction prediction, and provides reliable technical support for evaluation and development optimization of an unconventional reservoir crack system.

The present invention discloses a combined noise reduction method for rock fracture acoustic emission signals based on improved VMD-ITD, belonging to the technical field of signal processing. This noise reduction method first performs VMD decomposition on the acoustic emission signals; from the perspective of signal energy, a method for determining the number of VMD modes based on the component energy ratio is proposed to determine the number of modes K for VMD decomposition; calculate the corresponding mutual information between the K IMF components and the original signal, and use it as a weighting coefficient to perform weighted reconstruction on each IMF component; then perform ITD decomposition on the reconstructed signal and reconstruct again to obtain the noise-reduced signal. The present invention can effectively suppress the noise signals generated during the fracture process of rock samples and extract most of the effective information in the original acoustic emission signals.

A system for testing rock fracture under a vacuum and extreme-temperature condition includes a vacuum extreme-temperature loading structure, an overall loading frame structure and a mobile cart. The vacuum extreme-temperature loading structure includes a vacuum transparent shield, a vacuum base and an extreme-temperature loading module. A bottom end of the vacuum transparent shield is covered on the vacuum base and is hermetically connected with the vacuum base to form a vacuum structure. The extreme-temperature loading module is provided inside the vacuum structure. The overall loading frame structure includes an overall frame and a loading cylinder. A middle of the overall frame is provided with a loading space, and the vacuum extreme-temperature loading structure is located in the loading space. The mobile cart is located in the loading space and is slidably connected with the overall frame, and the vacuum base is arranged on the mobile cart.

The application provides a method for quickly obtaining the creep characteristics of rock samples with different rupture degrees, and comprises the following steps: S1, sample installation, initial setting and loading of a testing machine; S2, real-time calculation of a rock rupture degree index RFD during the loading process; S3, creep test at different stress levels; S4, cyclic loading and unloading, and repeated step S3 for the creep test; S5, peak strength test; S6, multi-stage creep test at the peak strength; S7, multi-stage creep test at the post-peak deformation stage; and S8, cyclic test until the final rupture degree. The creep test at different rupture degrees and different stress levels is completed on the same sample, so that the time and sample quantity required by the test are greatly reduced, and the test efficiency is improved; the RFD calculation formula is used to monitor the rupture degree of the sample in real time, so that the rupture degree of the sample can be accurately controlled, and the accuracy of the test data is ensured; and the test cost is reduced by reducing the preparation and consumption of the sample.

The invention provides an experimental device and method capable of realizing reverse pressure driving fluid-solid coupling seepage simulation, and the experimental device is characterized in that a rock core is arranged in a triaxial rock core holder, an injection port is formed in the triaxial rock core holder, the injection port is communicated with a forward pressure driving injection system, a ground stress loading system is connected with a pressurization cylinder arranged on the triaxial rock core holder in a matched manner, and the forward pressure driving injection system is communicated with a forward pressure driving injection system; the forward pressure driving injection system is matched with a liquid outlet formed in the triaxial rock core holder, and the pressure acquisition system is correspondingly connected with the forward pressure driving injection system and the reverse pressure driving energy storage system. The device has the beneficial effects that loading of a non-uniform stress field can be achieved through the ground stress loading system, boundary stress interference is effectively eliminated in cooperation with the specially-made rock core edge reduction structure and the elastic rubber wrapping frame, crack expansion is closer to the real underground situation, and the crack expansion efficiency is improved. A reliable ground stress environment is provided for researching a rock fracture mechanism and a seepage rule under the fluid-solid coupling effect, and more reliable experimental data and theoretical support are provided for optimizing a mining scheme.

The invention discloses an earthquake vulnerability analysis method based on a rock fracture degree, and the method comprises the following steps: building a finite difference numerical calculation model of a deep underground structure, and selecting a series of seismic oscillation records as the input vibration of the finite difference numerical calculation model, based on the finite difference numerical calculation model and input vibration, determining a seismic oscillation intensity factor and a damage performance index suitable for the deep underground structure, dividing the deep underground structure seismic damage level, and based on the seismic oscillation intensity factor and the structure loss performance index, adopting an incremental dynamic analysis method to analyze the deep underground structure seismic damage level. And acquiring an earthquake vulnerability calculation sample set of the deep underground structure, and based on the earthquake vulnerability calculation sample set, analyzing the earthquake vulnerability of the deep underground structure by establishing an earthquake vulnerability function. The deep underground structure seismic vulnerability analysis precision and applicability are high under the complex seismic geological conditions.