405 results about "Failure mechanism" patented technology

According to the multi-parameter monitoring method and device for the material stress corrosion test, the flow rate, temperature and ion concentration of corrosive liquid are adjusted in real time through closed-loop control, and the real service environment of a material is simulated; in combination with a constant strain rate and constant load mixed loading mode, loading parameters are dynamically adjusted according to material failure and environment change, and the behavior of deviating from real failure is avoided. Electrochemical, mechanical and corrosion environment data are synchronously collected, a ridge regression algorithm is utilized to fuse multi-modal features, a Granger causal test and mutual information entropy are combined to analyze a corrosion-mechanical-environment interaction effect, and early-stage tiny damage is captured. And calculating the number of residual cycles, generating a three-dimensional probability cloud picture to quantify a failure risk level, and realizing dynamic regulation and control through a grading strategy instead of traditional fixed threshold judgment. According to the method, the real-time performance, the reliability and the automation level of stress corrosion testing are remarkably improved, and a systematic solution is provided for deep exploration of a material failure mechanism in a complex service environment.

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

The invention relates to an oil bearing carrying capacity evaluation method based on virtual simulation, and the method comprises the steps: obtaining working condition data samples of an oil bearing in a plurality of typical operation states under a complex working condition of a composite load, and carrying out the marking of bearing structure partitions, so as to build a working condition partition mapping table; establishing a multi-physics field sensitive area identification model for each partition, and performing dynamic parameter adjustment on the global finite element model and the local high-precision infinitesimal sub-model by using a multi-physics field coupling calibration factor; and performing time sequence feature extraction on a multi-physical field joint simulation result after dynamic parameter adjustment to obtain a multi-dimensional parameter sequence related to the typical failure mechanism of the oil bearing.

The invention provides a flexible electronic device multi-physics field coupling performance simulation analysis method, and relates to the technical field of flexible electronics. Firstly, a geometric model of the flexible electronic device is constructed; the geometric model comprises a three-layer assembly structure of an electronic chip, an adhesive layer and a flexible PCB layer, and an interconnection structure; setting electromagnetic-thermal-mechanical field coupling parameters of the geometric model; then, grid division is conducted on the geometric model through a finite element method, and the grid division precision of the area where the interconnection structure is located is higher than that of other areas; building a multi-physics field coupling model according to the geometric model and set coupling parameters; applying load and boundary conditions to the model, wherein the load and boundary conditions comprise a current source, a heat generation load, a convection heat dissipation boundary condition and a mechanical constraint condition; and simulating the working state of the flexible electronic device under the action of multi-physics field coupling in the multi-physics field coupling model to obtain a simulation result. According to the method, the performance and the failure mechanism of the flexible electronic device under the multi-physics field coupling effect can be effectively predicted.

The invention discloses an insulating material performance evaluation and formula optimization method and device and a medium, and the method comprises the steps: extracting multi-dimensional data features according to the multi-physical field data of an insulating material, carrying out the feature fusion, and obtaining multi-modal fusion features; constructing a material performance prediction model based on the multi-modal fusion features, and responding to real-time multi-physical field data to obtain a residual life prediction result of the insulating material; determining a key factor influencing the life based on the residual life prediction result, and mapping data characteristics of the key factor to an insulation material failure mechanism to determine a failure factor weight; based on the failure factor weight, establishing a formula optimization objective function by adopting a multi-objective reinforcement learning algorithm; solving the formula optimization objective function based on constraint conditions to obtain a material formula optimization result; the accuracy of the residual life prediction result of the insulating material is improved, and meanwhile, the reliability and pertinence of the formula optimization result of the insulating material are considered.

The invention provides a data correction method and system combined with lattice structure additive manufacturing process characteristics, and the method comprises the steps: firstly employing a Newton iteration method, taking the radius of a pillar as a variable, optimizing the relative density of an iteration target and generating a lattice structure geometric model under the condition that a process constraint condition is satisfied, and extracting actual geometric parameters after forming through CT scanning, the elastic modulus is corrected through the pillar diameter deviation and the defect volume fraction, a compression failure mechanism is combined, a density-related failure criterion is introduced, a nonlinear relation with the relative density is constructed through specific energy absorption data, material plasticity parameters are inversely optimized, and a defect coupling evaluation model is constructed according to the surface powder sticking rate and the pillar diameter deviation. And establishing a Gaussian mixture model based on a stress-strain curve to screen out abnormal data, and finally fusing the parameters to construct a data correction model. The dot matrix structure design precision can be improved, and then a high-quality data basis is provided for performance prediction-structure design two-way feedback.

The invention discloses an in-vitro bionic mechanical testing system and method for spinal skeletal muscles, and particularly relates to the field of mechanical testing, and the system comprises a bionic construction module, a finite element modeling module, a multi-axis mechanical loading module, an iterative calculation module and a correction module; through modular design, the system comprises a vertebral body unit, an intervertebral disc simulation assembly and a skeletal muscle simulation unit, each assembly is customized according to anatomical features of a human body, a finite element modeling module is utilized to generate a three-dimensional model, a multi-directional mechanical load is applied, and response data is collected; experimental data are input into the finite element model for iterative calculation, so that stress distribution, a strain field and kinematic deviation are compared; if the error exceeds a preset threshold value, the model parameters and the physical parameters are corrected until the experiment and simulation results converge; and finally, based on the optimized finite element model, predicting a failure mechanism of the spinal skeletal muscle under a complex load, and evaluating the risks of fracture, hairline fracture, nucleus pulposus protrusion and muscle strain.

The invention discloses a life prediction method and device for an accelerated test product and electronic equipment, and the method carries out typical failure mechanism analysis based on fault data, so as to determine a key device and sensitive stress of a target product. And carrying out clustering analysis on the fault data related to the key device, and determining the failure contribution rate of each sensitive stress to the target product. And according to the failure contribution rate corresponding to each sensitive stress, carrying out a multi-stress accelerated life test of the target product. And training the neural network model by adopting test data of the multi-stress accelerated life test. The accelerated test life of a target product under the target stress condition is predicted by using the trained neural network model, life prediction of the accelerated test product is realized, the neural network model is trained by using a multi-stress accelerated life test based on fault physics, the influence of the coupling effect between environmental stresses on the product is emphasized, and the service life prediction of the accelerated test product is realized. Therefore, the model better conforms to the actual application process of the product, and the life prediction precision is improved.

The invention relates to the technical field of direct-current power supply fault diagnosis, in particular to a fault self-diagnosis modular direct-current power supply system, which is characterized in that a failure mechanism dynamic modeling unit constructs a multi-stress coupling degradation mapping library, adopts a degradation mechanism decoupling algorithm to separate and superpose failure effects and generates a dynamic degradation model; the early degradation capture unit deploys a high-frequency wide-domain sampling circuit and a noise suppression signal chain, combines time-frequency domain joint feature extraction and separates degradation feature signals from background noise, and the self-adaptive life prediction unit adopts a long short-term memory network and random forest fusion algorithm to dynamically correct parameters and output residual life probability distribution. The intelligent fault judgment unit realizes progressive diagnosis through a hierarchical threshold decision mechanism, and the health management cooperative execution unit triggers a pre-maintenance strategy, executes power flexible derating, redundancy switching or directional fusing isolation, and improves the reliability of the system.

The invention discloses a method for testing weather resistance of a material based on a low-temperature ice and snow environment, which belongs to the technical field of material testing, and comprises the following steps: generating a dynamic environment parameter set according to an environment simulation script, applying dynamically changing ice and snow loads and multiple physical and chemical environment stresses in a preset composite environment stress cabin, constructing a coupling environment field acting on the to-be-tested sample; and acquiring the state of the to-be-tested sample in the coupling environment field in real time, generating a multi-dimensional monitoring data set, performing comparative analysis on the multi-dimensional monitoring data set and a preset material aging characteristic template, generating material response data representing the current state of the to-be-tested sample, and constructing an environment parameter adjustment instruction set to regulate and control the coupling environment field in the composite environment stress cabin in real time. According to the method, a closed-loop feedback control strategy combining construction of a dynamic coupling environment field and real-time monitoring of material response is adopted, intelligent acceleration of the testing process can be achieved on the premise that the authenticity of a failure mechanism is guaranteed, and the testing efficiency and the accuracy of a result are remarkably improved.

The invention provides an electric power micro sensor life prediction model construction method and system, and the method comprises the steps: determining a plurality of acceleration test stages and acceleration factor combinations corresponding to the acceleration test stages based on the obtained historical degradation state information of a sensor; and carrying out an acceleration test on the sensor based on the acceleration factor combination corresponding to the plurality of acceleration test stages to obtain an acceleration test data set, and training the life prediction model by taking the acceleration test data set as an input and taking the residual life of the sensor as an output to obtain a trained life prediction model. The complex working condition of the electric power microsensor in the actual working environment is simulated more truly in a multi-stage multi-acceleration-factor combination mode, interference and mutual influence between different failure mechanisms are avoided, and the accuracy and comprehensiveness of life evaluation are improved.

The invention discloses a fault-considered spacecraft integrated chip interface circuit potential path analysis method, a storage medium and equipment, and belongs to the technical field of integrated circuit design and fault analysis. The method aims at solving the problem that an analysis method for a path under a failure mechanism under different environmental stresses is lacked. The method comprises the following steps: constructing an interface circuit simulation model of an integrated device based on a common interface circuit and a potential path structure in a spacecraft electronic system, then supplementing degradation mechanisms in various task stress environments, and determining a fault mode table of the interface circuit of the integrated device; a circuit simulation method is adopted to carry out potential path analysis considering fault factors on an interface circuit under a typical task profile, a fault path response feature library of the interface circuit under the task profile is obtained, then a constraint clue table for interface circuit design is formed, an interface circuit failure associated fault tree model is constructed, and the interface circuit failure associated fault tree model is constructed. And calibrating a relation path between various potential paths and device degradation or local failure for failure positioning and path checking.

The invention discloses a deep sea environment biaxial loading in-situ test system and method for industrial CT, the test system comprises a biaxial test bench, a deep sea environment box, a rotary table, a simulation seawater loop and an X-ray imaging unit, the deep sea environment box is arranged at the central position of the biaxial test bench, the biaxial test bench is arranged on the rotary table, the rotary table is arranged on the rotary table, and the X-ray imaging unit is arranged on the rotary table. And the X-ray imaging unit directly faces the biaxial test bench. In order to solve the problems that no effective means for simulating the complex stress and corrosion coupling environment of the deep sea environment exists at present, and key data such as chemical products in the corrosion process of marine materials under the complex stress cannot be obtained in situ, the invention provides a coupling biaxial in-situ loading device and a seawater corrosion environment simulation box. Simulation of a deep-sea complex stress state and a seawater corrosion environment is realized, a chemical product evolution rule in a stress corrosion process is obtained in situ based on a spectrum measuring instrument, and a technical foundation is laid for clarification of a corrosion failure mechanism of a material under a real deep-sea service condition.

The invention relates to the technical field of knowledge maps, in particular to a steel manufacturing knowledge map construction method based on multi-source heterogeneous data, which comprises the following steps: converting message data into a standardized semantic triple through a semantic mapping rule, and complementing missing attributes by using physical and chemical component balance logic to form a standardized entity; meanwhile, a semantic processor is used for extracting unstructured report text logic, cross-modal coupling is carried out on the unstructured report text logic and SEM image features, and a failure mechanism enhanced entity is generated. Then, full-process dynamic parameters are collected and regularized into equal-interval time sequence parameters; and finally, taking the normalized entity as an index feature and the mechanism enhanced entity as an association constraint, executing semantic fusion by utilizing a topological feature mapping engine, and constructing a dynamic weight graph structure by combining with a dynamic probability distribution correction operator iteration parameter weight. According to the method, efficient association and semantic organization of manufacturing whole-process multi-modal data are realized, and the retrieval precision and knowledge discovery capability of steel manufacturing data are greatly improved.

The invention belongs to the technical field of wind driven generator main bearing test equipment, and discloses a five-degree-of-freedom wind driven generator main bearing test bench for simulating real working conditions, which comprises a loading system, a test system and a driving system. The loading system adopts a sliding bearing loading disc to simulate a hub of the wind driven generator, and adopts a hydraulic cylinder array to simulate five-degree-of-freedom hub loads of three-direction forces including axial force, radial force and vertical force and two-direction moments including pitching moment and yawing moment. The test system adopts a two-point supported tapered roller bearing main shaft system to simulate the main shaft configuration of the wind driven generator, and can be independently disassembled to replace the model of a test bearing. The driving system adopts a variable-frequency and variable-speed motor, the rotating speed range is 0-200 rpm, and the requirements of various working conditions such as frequent start and stop, performance tests and strengthening tests can be met. According to the invention, through multi-dimensional load loading and multi-working-condition simulation, a key platform is provided for reliability test and failure mechanism research of the wind power main bearing.

The invention relates to the technical field of aero-engines, and discloses a combustion chamber outlet radial temperature distribution design method and system.A turbine blade temperature field analysis model and a stress field analysis model based on a combustion chamber outlet temperature field distribution curve are constructed, and the influence of multiple fatigue failure modes on the service life of a turbine blade is comprehensively considered; constructing a comprehensive strength coefficient analysis model which simultaneously considers high-cycle fatigue failure, lasting creep failure and low-cycle fatigue failure game mechanisms on the basis of arithmetic mean and geometric mean methods; therefore, a three-dimensional response surface of the comprehensive strength coefficient changing along with the radial temperature distribution coefficient of the combustion chamber outlet and the radial height of the highest temperature position of the combustion chamber outlet is obtained, and an optimal solution in a design interval is obtained by solving an extreme value through the response surface. According to the method, the design iteration efficiency can be improved, meanwhile, comprehensive consideration of various failure mechanisms is achieved, and it is ensured that the radial temperature distribution of the outlet of the combustion chamber better meets the service life design requirement of turbine blades.

The invention relates to the technical field of aluminum alloy drill rods, in particular to an aluminum alloy drill rod body thread high-temperature fatigue life prediction method, which comprises the following steps: establishing a drill string dynamic model to obtain load spectrum initial data; establishing an aluminum alloy drill rod body thread thermal-mechanical coupling finite element model to obtain initial stress-strain distribution; performing a high-temperature fatigue test to obtain fatigue life data of the aluminum alloy material at different temperatures; establishing a high-temperature fatigue damage model; and constructing a high-temperature fatigue life prediction model based on the load spectrum initial data, the initial stress-strain distribution, the fatigue life data and the high-temperature fatigue damage model. Therefore, the problems that the fatigue failure mechanism of the aluminum alloy drill rod body thread in the high-temperature environment is not explored, the coupling effect of creep damage and fatigue damage is not fully considered, the influence rule of vibration load characteristics on the fatigue life and the failure mode is not clear, and engineering practice cannot be accurately guided are solved.

The invention provides a data twin-driven automobile precision shaft fault prediction system and method, and relates to the technical field of fault prediction, and the method comprises the steps: building a digital twin model for precision shaft fault prediction based on the working condition operation data of a precision shaft; determining the correlation constraint quantity of each sensor according to the correlation elements of the monitoring data among the sensors in the multi-source sensor network, and determining the state credibility of each sensor through all the correlation constraint quantities and the interference characteristics of the multi-source sensor network; a failure mechanism model of the precision shaft is constructed based on material characteristics and working condition operation data of the precision shaft, state reconstruction is carried out on the failure mechanism model through an axial load and hardness obtained through a precision shaft test, and a digital twinborn model is updated according to reconstructed failure parameters and all state credibility sums. And predicting the fault state of the precision shaft through the updated digital twin model, so that dynamic updating of the digital twin model can be realized, and the precision of fault prediction of the precision shaft is improved.

The invention discloses a PINN-based power module welding spot failure detection and life prediction method and system, and belongs to the field of power module detection.The method comprises the steps that electric, thermal and mechanical force multi-physical field real-time monitoring is conducted on a welding spot, and a heat conduction equation, an improved Coffin-Manson equation and a Paris law are constructed; constructing a three-constraint PINN network architecture and setting a network training strategy; and inputting real-time monitoring data into the trained PINN network, and synchronously outputting three groups of prediction results of the welding spot residual life percentage, the critical crack size early warning value and the high-temperature dangerous area coordinate. According to the invention, the failure mechanism of the welding spot can be reflected more comprehensively and accurately, and the detection accuracy is improved.

The invention relates to the technical field of anchor chain tension detection, and discloses an anchor chain fixed section tension detection device and a detection method thereof.The anchor chain fixed section tension detection device comprises a tension detection mechanism, the top end of the tension detection mechanism is connected with a tension control mechanism, and one end of the top of the tension control mechanism is connected with an anchor chain fixed section control mechanism; through the arrangement of the tension detection mechanism, the to-be-detected anchor chain is detected under different conditions of an air reference state, a seawater corrosion state and a blending load state, so that the overall breaking strength index of the anchor chain can be obtained, and the tensile strength of the anchor chain can be detected by controlling the tension change, the wave load and the seawater corrosion effect of the anchor chain. Different service conditions of the anchor chain in an air reference state, a seawater corrosion state and a blending load state are simulated; by comparing and analyzing the mechanical properties of the anchor chain in different states, the weak link of the anchor chain can be accurately positioned, the failure mechanism of the anchor chain can be revealed, and an important reference is provided for maintenance and replacement of the anchor chain.

The invention relates to the technical field of aero-engines, and discloses a wheel disc fatigue acceleration test stress coefficient determination method and system, and an application of the wheel disc fatigue acceleration test stress coefficient determination method and system. Analyzing by combining a performance curve of a wheel disc material to obtain a first upper limit threshold value of a wheel disc fatigue acceleration test stress coefficient; then carrying out a characteristic simulation piece fatigue test on the key part of the wheel disc to obtain a second upper limit threshold value of the stress coefficient of the wheel disc fatigue acceleration test, and reasonably determining the maximum value of the stress coefficient of the wheel disc fatigue acceleration test by comparing the first upper limit threshold value with the second upper limit threshold value; the service life damage equivalence and the same failure mechanism before and after the fatigue acceleration test of the wheel disc are ensured, the situation of wheel disc service life verification deviation danger caused by non-equivalent damage due to unreasonable stress coefficient in the existing method is avoided, the safety and the reliability of the wheel disc in the service life are improved, and the service life of the wheel disc is prolonged. The fatigue life of the wheel disc can be effectively verified.

The invention discloses an electrical equipment operation reliability analysis method based on RCM, and belongs to the technical field of electrical equipment operation and maintaining.The method comprises the steps that electrical equipment is decomposed into main function nodes and auxiliary function nodes through a function tree analysis method, a function performance standard library is constructed, and quantitative indexes of all the nodes and an incidence relation graph of the quantitative indexes are stored; constructing a failure mode library based on the function performance standard library, fusing a physical failure mechanism with historical fault data to generate a failure mode-function node mapping table, calculating a system-level function failure probability by adopting a Monte Carlo simulation method, and outputting a risk level matrix; using the risk level matrix to match the risk level to the node logic of the RCM decision tree, and generating a hybrid strategy set; and according to an execution result of the mixed strategy set, calculating a comprehensive health degree through an equipment health index model, and iteratively updating a failure mode library and a decision tree threshold parameter in combination with a reinforcement learning algorithm.

The invention provides a low-frequency excitation and high-frequency impact coupled void lining test device and method, and belongs to the technical field of tunnel instability monitoring, and the device comprises a lining loading system, a low-frequency excitation system and a high-frequency impact system. The loading mechanism simulates the surrounding rock load borne by the lining in the circumferential direction, and the surrounding rock load borne by the lining can be simulated by adjusting parameters such as the magnitude and the direction of loading force. The vibration exciter is matched with the power amplifier, low-frequency and high-amplitude vibration matched with the axle load characteristics of the train can be generated, and the fatigue damage effect on the lining caused by long-term running of the train is simulated. When the electric detacher controls the drop hammer to be separated from the truss and fall freely, high-frequency transient impact force can be generated, and the transient load effect of a lining impacted by falling rocks is simulated. According to the test device, through multi-physics field coupling loading, the problems that a void lining damage mechanism is unclear and prediction means are deficient are solved, a complete technical chain is provided for railway tunnel structure safety, and the test device has academic value and engineering popularization significance.

The invention discloses a UHPC key tooth dry joint direct shear acoustic emission characteristic test method, and belongs to the technical field of UHPC tests.The UHPC key tooth dry joint direct shear acoustic emission characteristic test method comprises the steps that S1, a UHPC test piece is designed and prepared; s2, building a test system which comprises a loading device, an acoustic emission monitoring device and a displacement and strain monitoring device; s3, the test piece is tested through a test system, and corresponding data are collected; s4, analyzing the data, and revealing a dry joint shear stress behavior and a damage failure mechanism under different parameter settings of the test piece by combining acoustic emission characteristic parameters; the UHPC key tooth dry joint direct shear acoustic emission characteristic test method provided by the invention breaks through the limitation of traditional load-displacement curve, crack observation and other methods, realizes real-time, continuous and multi-stage monitoring, and comprehensively masters the damage evolution dynamics.

The invention provides a method for analyzing the composite bearing capacity of an ocean engineering shallow foundation, which comprises the following steps of: describing the soil property by combining a corresponding constitutive model through a finite element analysis method, establishing a shallow foundation-multilayer foundation soil interaction model, systematically exploring a shallow foundation damage mechanism under the action of each combined load through multiple groups of probe tests, and analyzing the composite bearing capacity of the ocean engineering shallow foundation. According to the method, the coupling effect between the load components is researched, normalized damage envelope surfaces in different load planes are obtained and fitted into algebraic expressions for checking the bearing capacity of the shallow foundation, and the bearing capacity calculation efficiency can be greatly improved. According to the method, for shallow foundations of different sizes and different load combinations, repeated modeling analysis is not needed, the corresponding ultimate bearing capacity can be directly obtained by writing the envelope line equation into an automatic calculation program and inputting design conditions, the design efficiency is remarkably improved, and the shallow foundations can be popularized and applied in offshore engineering projects.

The invention relates to a phosphorus-dilute anisotropic fatigue life regulation and control method. The method comprises the following steps: (1) establishing a molecular dynamics fatigue model consisting of a phosphorene sheet with a semicircular prefabricated defect; (2) executing a simulation process and processing data: (1) when fatigue crack initiation in the Armchair direction of phosphorene is explored, rotating the model by 90 degrees and then cutting; (2) when the movement direction is the Zigzag direction, the excitation frequency is 0.027 THz-0. 05 THz; when the motion direction is an Armchair direction, the excitation frequency is 0.0315 THz to 0.05 THz; under the condition that the excitation amplitudes are respectively 2, 3 and 4, calculating the fatigue life of the phosphorene in different motion states so as to analyze the influence of the change of the excitation frequency and the excitation amplitude in different directions on the fatigue life of the phosphorene. The internal mechanism of the fatigue failure mechanism and the fatigue life difference is disclosed from the angles of stress distribution, energy dissipation rate and phonon characteristics.

The invention relates to the field of slope prevention and control of water conservancy and hydropower engineering, in particular to a method for treating abnormal deformation of an upper-hard and lower-soft extra-high steep transverse slope during a construction period, which comprises the following steps of: constructing a three-dimensional geologic model based on multi-source data, and calibrating mechanical parameters of a rock mass and a structural surface in a manner of combining inversion analysis and field monitoring data; the synergistic effect of different supporting measures is quantified through numerical simulation, and a system treatment scheme is formed. Specific treatment is carried out according to the special failure mechanism of the composite structure with the hard upper portion and the soft lower portion, the progressive extrusion deformation characteristics of the lower soft rock are accurately recognized, the treatment strategy of deep anchoring, soft rock reinforcement and form regulation and control is adopted, anchor cables are adopted for deep reinforcement, consolidation grouting is applied for improving the mechanical property of the soft rock, and form control measures of slope ratio optimization are matched, so that the composite structure is obtained. And a multi-dimensional deformation suppression system is formed. The technical problems that in the existing abnormal deformation treatment process, supporting measures are not appropriate, a supporting scheme is lack of systematicness, and the treatment effect is poor can be solved.

The invention relates to an intelligent temperature control rock heat-water-force-sound-light multi-field coupling disturbance shearing device and a use method of the intelligent temperature control rock heat-water-force-sound-light multi-field coupling disturbance shearing device. A disturbance shearing mechanism composed of a trapezoid pressing rod, a constant damper and a spring is additionally arranged on the driving side of the lower shearing box. When the tangential loading shaft is propelled at a constant speed, the mechanism can convert stable linear displacement into disturbance shear load of periodic loading and unloading, so that engineering power disturbance is simulated. According to the device and the method, periodic shear disturbance is synchronously applied to a rock sample in a high-temperature seepage environment, mechanical response, seepage characteristic change, internal micro-fracture and surface full-field deformation of the rock sample are comprehensively observed, and an advanced test means is provided for researching a catastrophe mechanism of a deep rock mass under the action of multi-field coupling and dynamic disturbance.

The invention provides a blasting simulation method and device for crystal intruding rock, and the method comprises the steps: building an initial rock crystal sample uniaxial compression model according to the mesoscopic physical parameters of target crystal intruding rock; generating a cohesive force unit for a contact interface between crystal grains in the uniaxial compression model to obtain a uniaxial compression model of the target rock crystal sample; performing a uniaxial compression simulation test on the uniaxial compression model of the target rock crystal sample to obtain test simulation data, correcting parameters through a back analysis method to obtain target material parameters of a target crystal, and constructing a rock crystal medium blasting construction FDEM model; and according to the rock crystal medium blasting construction FDEM model and the blasting parameters, blasting simulation is carried out on the target crystal intruding rock. Therefore, according to the scheme, by designing the finite-discrete coupling blasting simulation method, the cost can be reduced, the time consumption can be reduced, and the dynamic response rule and the damage mechanism of the rock mass in the blasting process can be quantitatively represented.

The invention provides a gate-source short-circuit SiC MOS device failure analysis method and related equipment, and the method comprises the steps: responding to the determination that the functional characteristics of a source and a drain have no abnormal conditions, carrying out the analysis of the cause of a short-circuit fault of a gate and the source based on the characteristics of a silicon carbide material and an MOS device failure mechanism, and carrying out the analysis of the short-circuit fault of the gate and the source. Comprising the following steps: judging whether gate source chemical lap joint caused by internal water vapor exists or not through a dry chip; unsealing the chip to expose the interior of the chip, testing the chip, and judging whether a metallization layer migration short circuit caused by high temperature occurs or not; analyzing whether breakdown caused by high electric field stress exists in the gate oxide layer; according to the failure analysis method provided by the invention, the reason of the failure of the SiC MOS device can be accurately analyzed, and the problem that the microdefect of the SiC MOS device cannot be positioned by a traditional means is solved.