1617 results about "Rock sample" patented technology

The invention discloses a rock multi-field coupling test system and a damage evaluation and prediction method thereof, belongs to the technical field of geotechnical engineering and geomechanics experiments, and solves the problem that the rock state under the multi-field coupling condition cannot be monitored in real time in the prior art. The system comprises a multi-physics field coupling loading system, a multi-field data monitoring system and a multi-field data acquisition system. The system can simulate and apply axial pressure, confining pressure, pore pressure and temperature of an in-situ environment to a rock sample, integrates an acoustic monitoring system, a deformation monitoring system and a CT scanning system to realize multi-dimensional real-time monitoring of rock sample damage, overcomes the limitation of a single monitoring method, realizes multi-system electrical connection by taking an upper computer as a data acquisition center, and realizes multi-dimensional monitoring of rock sample damage. And a multi-parameter model is constructed by fusing sound waves, deformation and CT data, so that the whole-process quantitative evaluation from microcrack initiation to macroscopic fracture is realized, and the damage evaluation is comprehensively performed.

The present invention relates to the field of rock structure measurement, and disclosed are a three-dimensional pore reconstruction method and system based on a rock image, for use in solving the problem that using a machine learning method to reconstruct pores in a rock image requires relatively high mathematical or computer science expertise, involves high labor and economic costs, and is difficult to apply to small-scale rock pore reconstruction projects. The method comprises: step 1: grouping slice images of each rock sample into one set, and performing preprocessing; step 2: performing grayscale processing, histogram equalization and normalization processing on an image; step 3: using a Harris corner detection algorithm to perform corner detection, sorting Harris response values, selecting key points by setting the number of key points, and using a non-maximum suppression method to screen the selected key points; step 4: segmenting the boundaries of pores in the image by means of an adaptive threshold selection method, and extracting pore features; and step 5: using a marching cubes algorithm to construct a three-dimensional pore reconstruction model. The present invention is used for three-dimensional reconstruction of pores in a rock image.

The embodiment of the invention relates to the technical field of rock mechanics, in particular to a rock micromechanical property determination method, device and equipment, and the method comprises the following steps: carrying out indentation test on a target area on the surface of a rock sample to obtain micromechanical response data of the rock sample; the micro-mechanical response data represents the change relationship between the micro-mechanical response of the rock sample and time; scanning a target area on the surface of the rock sample in the indentation test process to obtain microstructure evolution data corresponding to the micromechanical response data; the microstructure evolution data represents a change relationship between the microstructure of the rock sample and time; and determining the micromechanical properties of the rock sample according to the micromechanical response data of the rock sample and the corresponding microstructure evolution data. According to the embodiment of the invention, the heterogeneous micro-mechanical property of the rock can be accurately represented based on collaborative analysis of the micro-mechanical response and the microstructure of the rock sample at multiple time points, and dynamic, in-situ and quantitative representation of the micro-mechanical property of the rock is realized.

The invention provides a rock damage evaluation method and device, and the method comprises the following steps: carrying out a compression test on a rock sample until the rock sample is damaged; treating the damaged rock sample to obtain a multi-scale damage fractal dimension of the damaged rock sample; based on the multi-scale damage fractal dimension, calculating a weight coefficient of each scale fractal dimension to the damage of the rock sample through an analytic hierarchy process; constructing a multi-scale rock damage evolution fractal model based on the weight coefficient; and evaluating the damage degree of the rock to be measured based on the rock damage evolution fractal model. The defect that the rock damage degree is determined from a single scale is overcome, rock damage can be more comprehensively and accurately quantified, long-term rock damage and stability evolution are effectively predicted, and reference is provided for comprehensively and accurately representing the rock damage degree and long-term evolution.

The invention discloses a method and a system for predicting the lumpiness of open-air throwing blasting, and relates to the technical field of rock blasting engineering. The invention discloses a new calculation relation about a lumpiness similarity proportion, relates to the technical field of open-air loose blasting mining, and can predict blasting lumpiness of projects such as mines, tunnels and the like by scaling a lumpiness distribution proportion. The method comprises the following steps: firstly, acquiring a rock sample from a blasting site, measuring parameters such as rock density and fracture toughness, and acquiring blasting parameter information of a to-be-blasted area; and then, a numerical simulation model under an open-air throwing blasting similar material is constructed by using a numerical simulation method, the change rule of blasting fragmentation lumpiness along with explosive unit consumption in a scale model test is studied, and the blasting lumpiness in a field blasting area is predicted according to the blasting lumpiness similarity ratio. According to the method, the change rule along with the unit consumption of the explosive is analyzed, the utilization rate of crushing energy of the explosive in surface blasting engineering is improved, reference is provided for blasting lumpiness control, and prediction of field blasting lumpiness before blasting is achieved.

The invention belongs to the technical field of mineral resource exploration, and provides a multi-source remote sensing data and AI combined copper ore exploration method and system, and the method comprises the following steps: obtaining multi-source remote sensing data of a target region through a plurality of remote sensing devices; preprocessing the multi-source remote sensing data to obtain fusion data; the fusion data are analyzed through an AI algorithm, and mineralization alteration areas and geological structure information are obtained through recognition; performing overlay analysis on the mineralization alteration area and the known geochemical anomaly area, analyzing the spatial relationship between the mineralization area and the structure in combination with the geological structure information, and judging the favorable mineralization part of the copper ore to obtain an analysis result; performing field investigation on the potential copper ore area determined by the analysis result, collecting rock samples for laboratory analysis, and verifying the accuracy of the analysis result; according to the method, the multi-source remote sensing data and the AI technology are comprehensively utilized, the target area is rapidly analyzed, the potential copper ore area is positioned, the workload of blind exploration is reduced, and the exploration efficiency is improved.

The invention discloses a rock damage assessment method fusing wave velocity and microscopic fracture, and belongs to the technical field of rock damage assessment, and the rock damage assessment method comprises the following steps: arranging a wave velocity testing device on a rock sample, and respectively making an unloaded rock sample and a damaged snapshot rock sample under different stress loading; microcosmic fracture information of the damaged snapshot rock sample is identified, a three-dimensional wave velocity model of the damaged rock sample under different stress loads based on a wave velocity test is constructed, and then a macro-micro scale fusion multi-dimensional data set is constructed; based on the macro-micro scale fusion multi-dimensional data set, constructing and training a rock damage identification model; and inputting the characteristic parameters of the rock sample to be evaluated into the rock damage identification model, identifying the damage distribution characteristics of the rock sample on the spatial scale, and evaluating the rock damage degree. According to the method, accurate prediction and evolution process evaluation of the rock damage degree and spatial distribution can be realized, and a reliable technical means is provided for disaster early warning, stability evaluation and risk prevention and control in complex rock mass projects such as deep mines and tunnels.

The invention discloses a rock nanoindentation numerical simulation method based on PFC discrete elements, and relates to an unconventional natural gas reservoir fracturing technology. Comprising the following steps: dynamically loading an iterative matching load-displacement curve based on XRD-SEM-EDS mineral spatial distribution of a rock sample and single mineral nanoindentation experimental data microscopic parameters; in combination with mineral space distribution data, constructing a multi-mineral heterogeneous model by stages, and dynamically loading simulation; based on crack number development, force chain distribution and particle displacement vector characteristics, a regulation and control mechanism of a mineral interface coupling effect and pore stress concentration on a crack propagation path is quantitatively analyzed. According to the invention, a heterogeneity evolution mechanism of force chain development and crack propagation in each stage of loading, load holding and unloading can be analyzed, and a dynamic mechanism that mineral components and pore structures cooperatively regulate and control a crack propagation path and nonlinear load response is disclosed; and a solution path is provided for rock microscopic damage mechanism prediction and heterogeneous material discrete element numerical simulation modeling.

The invention discloses an underground space surrounding rock excavation damage area testing method, which belongs to the technical field of rock mass damage testing, and comprises the following steps: sampling rocks with different depths, carrying out ultrasonic testing, and determining rock sample attenuation characteristics and wave velocity; determining a comprehensive damage index range of the rock samples with different damage grades; then, sensors are arranged in the excavation process to collect ultrasonic and acoustic emission data; then, an initial calculation model is constructed, and a surrounding rock three-dimensional wave velocity model is obtained through inversion of collected data; and finally, determining a damage grade according to the comprehensive damage index, and marking in the model to realize damage area testing. According to the method, the mapping relation between the damage degree and the wave velocity change is established, the comprehensive damage index range threshold value of different subareas is provided, quantitative and gradable classification is achieved, the three-dimensional wave velocity model is inversed based on test and monitoring data, and three-dimensional presentation and grading labeling of the damage area are achieved.

The invention discloses a compressed air energy storage indoor simulation test device and method, and relates to the technical field of compressed air energy storage. The device comprises a triaxial pressure servo control system, a temperature control system, an air pressure control system and a multi-parameter measurement system, and can cooperatively simulate the real working environment of the underground gas storage. The triaxial system comprises a high-pressure tank body and a loading device and is used for applying triaxial stress to the rock sample; the temperature control system adjusts the temperature of the rock sample; the air pressure system comprises a high-pressure destructive experiment mode and a low-pressure precise simulation mode, the high-pressure destructive experiment mode is used for carrying out a high-pressure test and verifying the critical burial depth under different geological conditions, and the low-pressure precise simulation mode is used for researching the mechanical behavior, the damage mechanism and the leakage mechanism of the gas storage by regulating and controlling the air pressure and the flow and simulating the inflation and deflation process; the multi-parameter measurement system collects rock sample physical response data in real time. Through cooperative work of multiple systems, response characteristics of multiple support sealing systems under different conditions can be accurately reflected, and the system has remarkable simulation precision, experiment efficiency and cost advantages.

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 high and low temperature true triaxial fracturing, seepage and microscopic monitoring experiment system and method. The system comprises a three-dimensional model and a reaction kettle module, the triaxial stress loading module is arranged at the bottom and the periphery of the cavity of the three-dimensional model and reaction kettle module; a fracturing module; a temperature control module; and a crack monitoring module. Through internal and external integral temperature control, large-range temperature adjustment and stable control of-15 DEG C to 130 DEG C are realized; monitoring points such as acoustic emission, resistivity and the like are carried to explain and analyze the dynamic change rule of the crack in real time; through the innovative structural design of the device, the functions of kettle body sealing, high-stress-difference triaxial synchronous loading, radial uniform seepage and the like are achieved, the experimental requirements of hydrate in-situ generation and decomposition, large-size rock sample saturation, high-stress-difference fracturing experiments and the like are met, the true-triaxial large-physical-model experimental application scene is expanded, and the experimental efficiency is improved. And technical support is provided for fracturing transformation process optimization, scheme design and the like of unconventional oil and gas resources such as deep shale gas and hydrates.

The invention relates to the technical field of rock sample oil-water saturation determination based on a nuclear magnetic technology, and provides a shale sample oil-water saturation intelligent determination method based on a two-dimensional nuclear magnetic technology, and the method comprises the following steps: collecting volumes, echo signals and signal-to-noise ratios of a preset number of rock samples; marking a target rock sample and a comparison rock sample, and determining a volume influence comprehensive interference degree and a noise amplification coefficient of a target echo signal; obtaining a denoised target echo signal according to the target echo signal, the volume of the rock sample corresponding to the target echo signal and the noise amplification coefficient of the echo signal; according to experiments of rock sample two-dimensional nuclear magnetic oil-water distribution, pore attributes and the like, a two-dimensional nuclear magnetic T1-T2 map is divided into an invalid pore area and an effective pore area of a rock sample corresponding to the two-dimensional nuclear magnetic T1-T2 map and an oil-water distribution area of the effective pore area, a fluid close to reservoir oil-water distribution is adopted to recover a two-dimensional nuclear magnetic spectrum of the rock sample, and the oil-water content corresponding to a nuclear magnetic signal is extracted; and obtaining a rock sample oil-water saturation determination result based on the nuclear magnetic technology.

Provided are a thermal-hydrological-mechanical-chemical coupling exploitation experimental device for a deep oil and gas reservoir, and a simulation system. The device includes a loading bin, a sample holding bin, a true triaxial pressure loading mechanism arranged on the loading bin, a temperature control system arranged on the true triaxial pressure loading mechanism, and a monitoring system having a detection element arranged in the rock sample and the sample holding bin. A sample entry port is formed in one side surface of the loading bin. The sample holding bin has one end slidably arranged in the sample entry port, can be sealed and connected with the sample entry port, and is configured for placing and fixing a rock sample. Multiple through holes are uniformly formed on an outer end cover of the sample holding bin and are configured for detecting and adding water, gas, and oil.

A rock sample holder, an x-ray system, and methods are disclosed. The rock sample holder may include a body having a cavity extending from a first end of the body to a first position along a longitudinal axis. The first end of the body is open. The body comprises a radiolucent material. A slit is formed through a side wall portion of the body such that the slit extends from the first end to a second position on the side wall portion between the first end and the second end. The rock sample holder may further include a base attached to a second end of the body and a cushion disposed within the cavity proximate to the first position. The body and the cushion form a rock sample chamber within the cavity.

Methods and systems are disclosed. The methods may include determining a first sequence of permeabilities by subjecting a rock sample to a first sequence of confining stress, axial stress, pore pressure (CSASPP) triplets and determining a first rock parameter using the first sequence of permeabilities, the first sequence of CSASPP triplets, and a first permeability model. The methods may further include determining a second sequence of permeabilities by subjecting the rock sample to a second sequence of CSASPP triplets and determining a second rock parameter using the second sequence of permeabilities, the second sequence of CSASPP triplets, and the first permeability model. The method may still further include determining an in situ permeability for an in situ rock based on an initial permeability, a second stress sensitivity parameter, a first stress sensitivity parameter, a confining stress value, axial stress values, a pore pressure value, and a second permeability model.

The invention provides a bedding structure rock finite element model reconstruction method based on a rock core digital image, and belongs to the technical field of digital rock cores, and the method comprises the following steps: S1, obtaining a gray level image of a rock sample; s2, calculating a transverse mean value of the analysis area to obtain a longitudinal gray level distribution curve; s3, applying moving average filtering and smooth filtering to obtain a smooth gray curve; s4, first-order difference is carried out on the smooth gray level curve, the position with the absolute difference value larger than a threshold value is taken as an initial stripe boundary candidate, and starting and stopping pixels, the width and the average gray level of each stripe are determined; s5, mapping each clustering label interval into a physical interval based on FEM grid partition; and S6, constructing a sample finite element model, and generating a reconstructed finite element model with real partition information. According to the method, the macrostructure features of the rock can be efficiently recognized and extracted by directly utilizing the pictures and combining gray profile analysis, and efficient and low-cost reconstruction of the finite element model of the bedding structure rock is achieved.

The invention relates to the technical field of underground engineering and pipe jacking construction, in particular to a large-diameter long-distance reservoir crossing rock pipe jacking design method. The method comprises the following steps: collecting parameters of a hard rock sample, and carrying out rock mass-underground water coupling stress field modeling to obtain a rock mass-underground water stress field distribution diagram; calculating a rock-water stress field density coefficient according to the rock mass-groundwater stress field distribution diagram; performing multi-parameter crossing path planning according to the rock-water stress field density coefficient to obtain a crossing path scheme set; calculating a path crossing resistance index according to the crossing path scheme set; determining an optimized crossing path scheme according to the path crossing resistance index; and performing segmented jacking force dynamic analysis according to the optimized crossing path scheme to obtain segmented resistance characteristics and a jacking configuration parameter scheme. According to the method, safe and efficient implementation of large-diameter long-distance reservoir crossing rock pipe jacking engineering is achieved by combining rock mass characteristic analysis, path optimization planning and jacking force dynamic control.

The invention discloses a rock pulse fracturing and high-voltage pulse discharge collaborative fracturing simulation device and method.The device comprises a triaxial loading mechanism, a pulse fracturing mechanism, a high-voltage pulse discharge mechanism, a collaborative control part and a monitoring mechanism, and the triaxial loading mechanism is used for loading triaxial pressure to a rock sample; a simulation hole is formed in the upper end surface of the rock sample, and a plug is plugged at the hole opening of the simulation hole; the pulse fracturing mechanism comprises a fracturing fluid storage tank and a pulse pumping assembly; the high-voltage pulse discharge mechanism comprises a Marx generator and a discharge electrode; the monitoring mechanism comprises a plurality of acoustic emission sensors and an acoustic emission data processor. The influence of the synergistic effect of pulse fracturing and high-voltage pulse discharge on the rock fracturing process can be systematically studied, the synergistic effect mechanism of the two is disclosed by accurately controlling the fracturing fluid release rhythm and the high-voltage pulse discharge rhythm, a parameter optimization basis is provided for field fracturing operation, the fracturing effect is improved, and the rock fracturing efficiency is improved. The mining cost is reduced.

The invention belongs to the technical field of mechanical property testing, and particularly discloses and provides a coal rock sample mechanical property intelligent testing system and method.The coal rock sample mechanical property intelligent testing system comprises a consistency verification module, a test piece dividing module, a density testing module, a triaxial testing module and a report generating module; standardized screening is carried out on the size, morphology and structural integrity of the test piece, physical characteristics are ensured to be unified, individual difference interference is avoided, then density and triaxial testing are integrated, density, triaxial compressive strength and shear strength parameters are synchronously obtained, a multi-dimensional data system is constructed, the problem that in the prior art, parameters are single is solved, and the test efficiency is improved. The method comprehensively supports comprehensive evaluation of coal rock mechanical properties, and meanwhile, by outputting a structured report containing a measured value, an adaptive threshold value, a judgment result and an unqualified item and clearly marking the unqualified item, the limitation that manual secondary processing is needed in the prior art is solved, seamless connection of testing, evaluation and engineering application is achieved, and the engineering application value is improved.

Provided is a method for determining huff and puff fluid volumes in multi-scale spaces of shale oil reservoirs, including the following steps: rock sample pretreatment; porosity stress sensitivity testing; high pressure hg injection testing and nuclear magnetic resonance testing benchmarking; online nuclear magnetic resonance testing; data processing and analysis. Firstly, a changing law of multi-scale spaces of shale oil reservoirs with an effective stress is characterized through a pore stress sensitivity measurement and online nuclear magnetic resonance measurement combined experiment, and then the huff and puff fluid volumes of multi-scale spaces of shale oil reservoirs under a condition of a certain stimulated reservoir volume are calculated. A usage amount of a fracturing fluid for a fracturing horizontal well in the shale oil reservoir is determined from the perspective of giving full play to the imbibition replacement role of micro-nano pores.

Disclosed is a physical simulation experiment system for vapor-liquid multiphase seepage in an underground gas storage facility in a depleted gas reservoir, including: a rock sample sealing, heating, and insulation system, a triaxial stress and confining pressure loading system, an oil-gas-water injection and pore pressure supply system, a vapor-liquid-solid three-phase separation and measurement system, an optical micro / nanofiber gas detection and monitoring system, a distributed fiber optic sensing system, and a gas supply and leakage alarm system, where the rock sample sealing, heating, and insulation system is used for accommodating and heating a rock sample; and the oil-gas-water injection and pore pressure supply system performs oil-gas-water injection into the rock sample and pore pressure maintenance. The present application aims to overcome the bottleneck problem of evaluating the dynamic sealing integrity of underground gas storage under alternating loads caused by injection and withdrawal.

The invention provides a method for analyzing the dynamic stability of a slope containing a mining cavern group under the action of dynamic and static loads, and belongs to the technical field of analysis of the dynamic stability of the slope containing the mining cavern group. In order to solve the technical problem that complex mechanical behaviors of a slope containing a mining cave group under the dynamic and static load coupling effect are difficult to accurately consider because most of existing slope stability analysis aims at single static load or dynamic load working conditions, the technical scheme adopted by the invention comprises the following steps: collecting end slope mining coal pillars and rock samples of rock stratums overlying the end slope mining coal pillars, and testing physical and mechanical parameters of the rock samples; the physical and mechanical parameters of all the rock stratums are finally selected in combination with related production materials of the mining area; calculating a shear strength parameter of the rock mass after the rock is damaged under the action of cyclic blasting vibration; calculating shear strength parameters of the end slope mining area-evolved weak layer under the action of blasting vibration; the stability of the slope containing the mining cavern group under the blasting vibration effect is calculated; the method is applied to the stability analysis of the power of the slope containing the mining cavern group.

The invention discloses a quantitative evaluation method for complexity of shale oil and gas horizontal well reservoir reconstruction cracks, which comprises the following steps: determining a crack development strength factor representing reservoir inherent crack development potential by calculating a mineral heterogeneous coefficient based on rock sample mineral component data at each perforation cluster position in a target fracturing section; determining the optimal fracture length by combining reservoir numerical simulation, determining the total fracturing fluid amount, performing non-uniform distribution according to the heterogeneity of each cluster, and determining a fracture propagation complexity factor representing the dynamic propagation complexity of the hydraulic fracture; weighting the two factors to obtain a crack complexity index for comprehensively evaluating the reservoir transformation effect, and performing grading; according to the method, static geological evaluation and dynamic engineering evaluation are combined, quantification of inter-cluster transformation differences is achieved, the defects that a traditional method is one-sided in evaluation and low in precision are overcome, and a reliable quantitative basis is provided for optimal design of a shale oil and gas reservoir fracturing scheme and accurate evaluation of the transformation effect.

The invention belongs to the technical field of moon sampling, and provides a casing type laser-assisted coring drilling tool for a moon-based extreme environment, which comprises a drill bit, a base, a laser head, a drill rod, a coring pipe and a motor, the bottom of the base is rotatably connected with a drill rod. The bottom of the drill rod is fixedly connected with a drill bit. A coring pipe is coaxially arranged in the drill rod, and an annular cavity is formed between the outer side face of the coring pipe and the inner side face of the drill rod. A laser head is mounted in the base; the laser head is located above the annular cavity, and laser emitted by the laser head penetrates through the annular cavity and is emitted out of the drill bit. Aiming at the lunar-based environment, through the synergistic mechanism of mechanical rotary rock breaking and laser-assisted softening, the lunar rock is softened by means of laser energy, the mechanical cutting resistance of the drill bit is greatly reduced, and efficient and continuous coring operation is achieved; the key technical problems that a traditional drilling tool is difficult in space arrangement, low in efficiency and the like are solved, and the efficiency of the lunar geology coring task and the rock sample fidelity are remarkably improved.

The invention discloses a machine vision-based automatic identification and calculation method for pore change of a rock section under an SEM (scanning electron microscope), and the method comprises the steps: obtaining original image data of the rock section through a scanning electron microscope, transmitting the original image data to a machine vision SEM pore intelligent quantification cloud platform, and dividing the original image data into a plurality of image sub-regions which are not overlapped with each other; calling a special threshold inversion model to analyze the gray information of each sub-region, and determining a dual-phase pore segmentation threshold; carrying out edge extraction on the sub-regions after threshold processing by adopting a pore edge gradient enhancement algorithm; performing topological structure analysis on the intermediate image data by using a biphase pore topological inversion model, constructing and optimizing a pore space topological network, and eliminating false pore structure data; and according to the optimized pore space topology network, integrating calculation results of all the sub-regions to obtain a pore change identification calculation result of the whole rock section. The method improves the pore identification precision and processing efficiency, and adapts to different types of rock samples.

The invention provides an in-situ real-time monitoring method and system for a rock microscopic fracture mechanism and stress evolution. The method comprises the following steps: S1, standardized preparation and pretreatment of a rock sample; s2, in-situ loading and multi-modal data synchronous acquisition are carried out; s3, crack dynamic tracking and stress-strain field joint calculation; s4, constructing a microscopic-macroscopic quantitative correlation and damage model; and S5, performing multi-dimensional dynamic visualization and engineering output. The in-situ scanning electron microscope and the mechanical loading device are integrated, so that cross-scale synchronous monitoring and quantitative analysis of micro crack evolution and macroscopic stress-strain response are realized. A low-disturbance clamping device and a conductive anti-charge sample are treated, and in-situ testing is ensured; combining DIC and deep learning to quantify a crack propagation path, a local strain field and energy characteristics; through DIC strain inversion and finite element calculation, a non-contact stress cloud picture is generated in real time, and finally quantitative correlation between a microscopic fracture mechanism and macromechanical response is established.

The invention relates to the technical field of mineral exploration, and discloses a method for determining a heat source center of a gold and copper ore area containing alunite minerals, which comprises the following steps of: determining a to-be-detected area of a target mining area, sampling surface rocks according to a preset grid or section, and acquiring a plurality of rock samples and corresponding original acquisition points; carrying out mineral component analysis on the plurality of rock samples, screening the alunite-containing samples to obtain a plurality of alunite-containing samples, and screening effective samples; performing elemental component analysis on the effective sample, and extracting elements and contents related to gold mineralization or copper mineralization in the effective sample; setting a potential heat source center, calculating the distance between each effective sample and the potential heat source center, introducing a distance attenuation index, establishing an objective function of the element content and the distance, and adopting a gradient descent method to perform inversion solution by minimizing the objective function to obtain coordinates of the potential heat source center, namely the determined heat source center of the gold ore or the copper ore; the method improves the accuracy of gold and copper ore area heat source center exploration.

The invention discloses a roadway roof damage time prediction method and system, and belongs to the technical field of mine rock mechanics and safety engineering. Comprising the following steps: recognizing a roof rock stratum structure and lithology of each layer through drilling peeping, and drilling a representative rock sample; determining the crack initiation strength and peak strength of the rock sample through a uniaxial compression test; selecting a plurality of stress levels between the axial strain and the acoustic emission signal to carry out a creep test, synchronously monitoring the axial strain and the acoustic emission signal, and determining an accelerated creep starting moment as the damage time under the stress according to the abrupt change characteristics of the axial strain and the acoustic emission signal; establishing a stress-failure time relation model of each lithology; finally, selecting a corresponding model to predict the damage time of rocks at different layers of the roof according to the actual rock stratum structure and ground stress state of the roadway; according to the method, accurate and reliable time prediction of the progressive damage process of the roadway roof is realized.

The invention belongs to the technical field of testing, and particularly discloses a comprehensive evaluation method for rock damage and fracture acoustic emission events. The method comprises the following steps: collecting an acoustic emission full-waveform signal released by a rock sample in a damage and fracture process, and separating an independent acoustic emission event from a full waveform by utilizing peak identification time, impact identification time and impact locking time; respectively extracting a time domain characteristic parameter and a frequency domain spectrum parameter for each independent event; entropy weight quantitative analysis is carried out on various extracted parameters based on an information entropy theory, and a comprehensive evaluation index of the acoustic emission event is constructed on the basis. According to the method, synchronous extraction and fusion of multiple time domain and frequency domain parameters of the acoustic emission event are realized, objective weight distribution is performed in combination with an information entropy theory, and a rock damage and fracture comprehensive evaluation index capable of comprehensively representing global features of the acoustic emission event is established. The limitation that a traditional method only depends on single time domain or frequency domain parameter analysis is effectively solved.