308 results about "Coupling effect" patented technology

The invention relates to the technical field of petroleum and natural gas engineering, and discloses a wellbore life cycle management system and method, and the system comprises multiple modules of wellbore design, construction monitoring, integrity evaluation and the like. Accurate design parameters are generated by obtaining geological exploration data, multi-sensor data are collected in real time to guarantee construction safety, integrity is evaluated according to multi-source data, the corrosion rate is predicted, a time-space correlation algorithm is used for integrating data to recognize an abnormal coupling effect, then a risk level signal and an early warning instruction set are generated, and an optimization maintenance scheme is formulated. According to the method, the design accuracy and stability of the shaft can be remarkably improved, the condition of the shaft is comprehensively and accurately evaluated, corrosion is accurately predicted, and risk early warning and maintenance decision making are scientifically carried out. Meanwhile, the management efficiency is improved through visual display, many problems of traditional shaft management are effectively solved, the operation and maintenance cost is reduced, and the safety and economical efficiency of energy exploitation are improved.

The invention provides a third-generation semiconductor device multi-physical field coupling effect dynamic monitoring method and system, and relates to the technical field of semiconductors, and the method comprises the steps: collecting the data of a temperature field, an electric field, a magnetic field and a stress field through a complementary sensor array, constructing a feature tensor, inputting the feature tensor into a pre-trained graph neural network, and extracting a coupling effect dynamic evolution rule; on-line analysis and prediction are carried out by using an adaptive time window and a recurrent neural network, a multi-field coupling correlation degree evaluation model is established, an early warning level is determined according to the deviation between the coupling correlation degree and an early warning threshold value, and device risk evaluation and maintenance suggestions are generated, so that early warning of the failure risk of the semiconductor device is realized.

The invention discloses a multi-disaster disaster risk grade coupling evaluation method. The method comprises the following steps: establishing a multi-dimensional database covering multiple disaster types; key features related to the disaster risk are extracted from the multi-dimensional database; establishing a risk assessment model according to the key features, and determining a plurality of single-disaster risk levels; identifying association rules, causal relationships or space-time coupling modes among different disasters by using a big data mining algorithm; coupling weights among different disasters are determined, and a coupling model is constructed to convert a coupling relation into a quantitative risk superposition effect; based on the coupling model, a single-disaster risk and a coupling effect are integrated, a multi-disaster comprehensive risk level is generated, through multi-dimensional data integration, quantitative coupling modeling and a dynamic adjustment mechanism, advantages are formed in evaluation precision, social and economic adaptability and model adaptability, and the method is more suitable for scenes needing accurate risk grading and decision support.

The embodiment of the invention provides a slope instability mechanism simulation experiment device under the earthquake and rainfall coupling effect, and relates to the technical field of earthquake simulation equipment. The slope instability mechanism simulation experiment device under the earthquake and rainfall coupling effect comprises a model storage mechanism, a driving transmission mechanism and an adjusting mechanism, the driving transmission mechanism is located at the lower end of the model storage mechanism and enables a model in the model storage mechanism to vibrate, and the adjusting mechanism is located at the lower end of the model storage mechanism and enables the model in the model storage mechanism to vibrate. The adjusting mechanism is located at the lower end of the model storage mechanism and located in the middle of the transmission mechanism, and the transmission mechanism moves upwards and drives the adjusting mechanism to rotate. According to the device, the matching position and state of the cam and the vibration convex plate can be accurately changed, so that the vibration amplitudes of the slope toe, the slope top and the two sides of the slope body of an experimental model are accurately adjusted, the requirements for slope vibration amplitude simulation under different experimental conditions are met, and the influence of the vibration amplitudes on a slope instability mechanism can be deeply researched.

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 discloses a multifunctional experimental device capable of realizing a wind wave coupling effect, which comprises a deep water experimental area, a transition experimental area and a shallow water experimental area, and is characterized in that a lifting floating bottom mounted at the bottom of a water tank can simulate the elevation change from a deep sea to a shallow sea seabed; a wind generating system is assembled above the water tank and is matched with the flow guide arrays on the two sides to provide a high-quality wind field for the experimental water tank; the L-shaped wave maker can make multi-directional irregular waves, the wave flow experiment water tank and the wind making system are used for constructing a target joint field required by an experiment, and the whole process that the waves are gradually propagated from deep sea to shallow sea under the wind wave coupling effect can be achieved. The device has multiple functions of wind generation, wave generation, current generation and the like, has the function of simulating various load factors which mainly influence ocean engineering structures, and compared with an existing experimental device, the device can achieve the real wind and wave coupling effect, more truly and completely simulate the whole process of ocean wave propagation, and the experimental device has the advantages of being simple in structure and convenient to use. And a more accurate marine simulation environment is provided for experiments.

The invention discloses a multi-factor coupling action slope dangerous rock mass instability starting speed determination method which comprises the following steps: establishing a dangerous rock mass generalization mechanical model, simplifying a dangerous rock mass main control structural plane into two parts, namely a through section and a non-through main control structural plane, and controlling dangerous rock mass instability damage by a rock mass corresponding to the dangerous rock mass main control structural plane; carrying out stress analysis on the dangerous rock mass and the locking section rock mass based on the external load effect and the generalized mechanical model of the dangerous rock mass; the external load effect comprises horizontal and vertical earthquake force, frost heaving force, fracture water pressure or excess pore water pressure; determining elastic strain energy released by potential energy reduction in crack propagation of the main control structural plane of the dangerous rock mass based on a multi-factor coupling effect; and on the basis of the assumption that elastic strain energy released by reduction of potential energy in crack propagation of the main control structural plane of the dangerous rock mass is instantaneously released and converted into kinetic energy of dangerous rock mass movement, the instability starting speed of slope dangerous rock mass severe movement under the multi-factor coupling effect is determined. The invention further discloses a system, electronic equipment and a computer readable storage medium.

The invention discloses a simulation and prediction method for an instability phenomenon of a dielectric high-elastic thin shell. The method comprises the following steps: S1, constructing a mechanical-electric coupling constitutive model of a dielectric high-elastic material; s2, developing a numerical analysis method of the nonlinear response of the dielectric high-elastic thin shell; s3, simulating the overall instability phenomenon of the structure under large deformation; and S4, outputting the complex mechanical behavior under the predicted force-electricity coupling effect. Compared with the prior art, the method for simulating and predicting the instability phenomenon of the dielectric high-elastic thin shell has the advantages that the method can be used for capturing the complex shape and geometric change of the dielectric high-elastic thin shell and simulating the complex behavior of the thin shell under the force-electricity coupling effect.

The invention provides a mechanical in-situ test experimental device with a multi-working-condition simulation coupling effect, and belongs to the field of mechanical testing. The problems that an existing mechanical property testing device can only simulate single environment characteristics and cannot test various mechanical properties are solved. Wherein the linear sliding table is connected with the mobile platform through the mounting bracket, the upper end of the connecting rod is fixedly connected to the mobile platform, and the lower end is positioned in the box body; any one of one of the stretching and fatigue experiment clamp, the bearing platform and the bending pressing table can be mounted on a bottom plate of the box body, and any one of the other stretching and fatigue experiment clamp, the compression pressing head, the hardness measuring head, the bending pressing head and the impact testing head assembly can be mounted at the lower end of the connecting rod; the environment simulation assembly can simulate the temperature, humidity and salt mist environment of actual working conditions in the box body; the in-situ monitoring assembly can be used for monitoring the to-be-tested sample in the box body in real time. The device can simultaneously simulate a plurality of actual working conditions and coupling working conditions of actual loads, and can complete a plurality of mechanical property tests.

The invention discloses a thermoelectric enterprise safety management system and method based on integration, and relates to the technical field of thermoelectric production safety control. The system performs quantification processing on the collected real-time disturbance data set through a preset coupling algorithm to generate a risk pre-coupling factor representing a multi-source disturbance coupling risk; generating a predicted operation state of a future time node in combination with a current operation state set representing the operation condition of the equipment; the prediction operation state is compared with a preset operation safety threshold value, the safety and stability margin is calculated, an original control target of the unit is dynamically adjusted, and the system generates a prediction error by comparing the prediction operation state with a subsequently collected actual operation state; and the prediction model correction parameters of the prediction model are corrected by using the prediction error, and online adaptive adjustment of the prediction model is realized, so that quantitative evaluation of multiple disturbance coupling effects is realized, and a decision basis is provided for predictive risk prevention and control.

The invention discloses a multi-axis multi-field coupling fatigue test device, and belongs to the technical field of material testing. The device comprises a rack, a multi-axis loading unit, an environment simulation unit, a dynamic sealing interface and a cooperative control system. The core of the device is that the test sample can simultaneously bear the coupling effect of multi-axis mechanical stress (pulling, pressing and twisting) and various environmental fields (such as high and low temperatures, corrosive media, illumination and electric fields) through a highly integrated design; and the dynamic sealing problem of the actuator rod in the environment box is solved through an innovative dynamic sealing interface (such as labyrinth-magnetofluid composite sealing). According to the invention, accurate linkage control of multiple channels is realized through the cooperative control system, the service environment of key parts under actual complex working conditions can be truly simulated, and a reliable test platform is provided for failure analysis and life prediction of products under multi-field coupling.

The invention discloses a copper alloy failure evaluation and prediction method under the seawater pressure and flow velocity coupling effect in a deep sea environment, and belongs to the technical field of deep sea flowing copper alloy corrosion. Firstly, an XRD spectrum under the coupling action of deep sea pressure and seawater flow velocity is analyzed, and the micro-strain level is quantified. Secondly, a copper alloy / seawater solvation interface model is established, and the evolution process of the copper alloy microstructure in the dynamic deep sea environment is simulated; and in combination with the actually measured micro-strain level, atomic-scale axial strain is applied, and a copper alloy microstructure model under the seawater pressure and flow velocity coupling effect is constructed. And analyzing the quantitative relationship between the activation energy barrier and the dissolution rate under the action of different seawater and flow rates. And establishing a corrosion rate prediction model comprehensively considering seawater pressure and flow velocity. By establishing a corrosion rate prediction model, the influence of the seawater pressure and flow velocity coupling effect on the alloy surface microstructure is accurately evaluated, and an effective means is provided for evaluating the failure tendency of the copper alloy in the deep sea environment.

The invention relates to a structure anti-seepage waterproof technology, in particular to a concrete structure anti-seepage performance analysis method considering a multi-physics field coupling effect, which comprises the following steps of: establishing a chemical-thermal-mechanical multi-field coupling model in a concrete hydration process by comprehensively considering various influence factors such as hydration heat, temperature, humidity and structure constraint and combining a phase field theory; solving is carried out through refined numerical simulation, and the concrete crack development and evolution process is obtained. The method has the advantages that multiple influence factors such as hydration heat, temperature, humidity and structural constraint are comprehensively considered by constructing the multi-factor coupled phase field model, the cracking risk of the concrete can be accurately estimated, and comprehensiveness and accuracy of impermeability performance evaluation are improved. By combining finite element simulation and based on a high-precision numerical simulation technology, the anti-permeability performance of the concrete structure under different working conditions can be predicted, and a scientific basis is provided for engineering design.

The invention relates to a fault stability evaluation method considering a pressure-stress coupling effect. The method comprises the following steps: calculating a pressure-stress coupling ratio according to target layer rock mechanical parameters or field actual measurement pressure and ground stress data; fault three-dimensional structure modeling is carried out based on the seismic interpretation result, and fault occurrence distribution is simulated and calculated; analyzing and calculating the initial stress of the section and the stress after the coupling action by combining the three-way principal stress, wherein the stress comprises shear stress and effective normal stress; a quadratic equation of unary about fault instability critical pressure is constructed, and fault instability risk types are judged in combination with the actual pressure limit of oil field production; and calculating the critical pressure of fault instability under different risk types. According to the method, the influence of the pressure-stress coupling effect on the fault stability can be considered, so that the fault stability evaluation result is more practical.

According to the cold region slope multi-field coupling effect simulation test device and method, the device is composed of a freeze-thaw environment test box, a slope model, an anchor rod axial loading system, a crack water injection assembly and a multivariate data monitoring system, and the multi-physical field coupling effect of freeze-thaw cycle, crack water permeation and long-term creep can be simulated. By dynamically adjusting the temperature gradient and graded loading parameters, data of a stress field, a temperature field and a displacement field can be collected in real time, the influence of different freeze-thaw conditions and creep drawing loads on a slope damage mechanism can be analyzed, a key test means is provided for revealing the strain rate effect, the aging deformation characteristics and the instability criterion of the slope in the cold region, and the test efficiency is improved. The method has an important guiding value for stability evaluation and disaster prevention and control of the cold region slope engineering.

The invention discloses a crack detection device for engineering detection, and relates to the technical field of crack detection, the crack detection device for engineering detection comprises an underwater mechanical arm, a visual camera, an opening and closing mechanism, a pulse high pressure water cleaning mechanism, a coupling agent filling mechanism and an ultrasonic transducer; the pulse high-pressure water cleaning mechanism can clean cracks and peripheral impurities in all directions, and interference of the cracks and the peripheral impurities on detection signals is avoided; the coupling agent filling mechanism is used for accurately filling a coupling agent to guarantee stable transmission of ultrasonic waves; the underwater mechanical arm cooperates with the opening and closing mechanism to realize accurate positioning and operation, and the visual camera provides real-time image assistance; multiple functions are integrated, all mechanisms work cooperatively, the problems that in the prior art, impurity cleaning is difficult, the coupling effect is poor, equipment positioning and operation are inconvenient, and the function is single are effectively solved, the accuracy, reliability and efficiency of underwater crack detection are remarkably improved, and powerful support is provided for safety detection of an underwater engineering structure.

The invention discloses a U-shaped aqueduct prestress multi-beam cooperative tensioning control method and system. The method comprises the steps that S1, a quantitative derivation model is constructed, based on an aqueduct structural mechanical equilibrium equation, a prestress coupling effect item is introduced for calculation, a prestress coupling matrix is output, and an initial tensioning sequence is derived; the device is simple in structure, and an initial tensioning sequence is deduced by establishing a mechanical equilibrium equation and introducing a coupling effect item; meanwhile, stress / displacement deviation data collected by a monitoring system in real time are fed back to an edge calculation terminal to calculate a control strategy in real time, adjustment is executed by a tensioning device, and therefore a field data closed-loop optimization mechanism is constructed, the tensioning force and sequence can be dynamically corrected, the limitation of a static model is broken through, and the construction efficiency is improved. And a displacement constraint term is introduced as a punishment or control condition in the optimization process, so that deformation overrun of key parts of the structure is effectively prevented, and the precision, safety and intelligent level of prestress construction are remarkably improved.

The invention belongs to the technical field of current safety production, and provides a current linkage early warning method under a coal mine underground multi-motor coupling effect, which comprises the following steps of: setting a sensor network, and collecting a historical current sequence and a historical working condition sequence of each motor, marking abnormal working conditions and corresponding omen working conditions in a historical working condition sequence of each motor, setting a monitoring window, judging whether the abnormal working conditions or the omen working conditions exist in the monitoring window or not, if not, triggering current prediction, and constructing a fusion prediction model which comprises a time sequence current prediction model and a time sequence working condition prediction model, and obtaining a motor group coupling model established by basic information of each motor, predicting each motor through a fusion prediction model to obtain a predicted current sequence of each motor, analyzing a historical current sequence in the monitoring window and the predicted current sequence obtained through prediction, analyzing current abnormity of the motor, and performing early warning.

The invention relates to the technical field of large gantry cranes, in particular to a method for monitoring camber change of a gantry crane girder on line. Calculating elastic modulus dynamic attenuation; calculating dynamic load-stress distribution; performing non-linear coupling analysis on camber change; and data driving and mechanism driving are combined for correction and early warning. According to the method, a dynamic load-camber coupling analysis model is introduced, and based on an elastic modulus attenuation function and load distribution dynamic coupling algorithm, coupling effects of various factors such as load, temperature and vibration can be comprehensively considered, camber changes of the gantry crane girder can be accurately calculated, and the accuracy of the camber changes of the gantry crane girder can be improved. By combining the double advantages of a data driving method and a mechanism driving method, dynamic correction and real-time updating are realized, the defects of low monitoring precision, poor real-time performance and lack of flexibility in the prior art are overcome, and the monitoring reliability and accuracy are greatly improved.

The invention discloses a synchronous control method for improving a multi-machine black-start frequency phase angle coupling effect, and aims to improve the black-start recovery capability. The system adopts a parallel recovery strategy, so that a plurality of black-start micro-sources are started at the same time, and synchronization is quickly realized. However, the requirement of parallel recovery on the precision of pre-synchronization is extremely high, and due to the fact that in the pre-synchronization process before parallel connection and brake connection, the frequency and the phase angle have a coupling relation, and the rapid change of the phase angle difference in phase angle control easily causes frequency overshoot. In order to solve the problem, the system introduces a linear active disturbance rejection control (LADRC) method on the basis of traditional phase angle control, fast adjustment is made when frequency fluctuation is caused by phase angle difference change by means of high interference resistance and dynamic response speed, and phase angle change becomes more stable and controllable through timely and stable control of frequency, so that the system is more stable and controllable. Therefore, the interference on the frequency is reversely reduced, and the weakening of the frequency phase angle coupling effect is realized. The design not only ensures the rapidity of black start, but also improves the stability and recovery capability of the system.

The invention discloses an ultra-high-temperature heavy-load self-aligning roller bearing optimization design method and system based on a particle swarm algorithm, belongs to the field of rolling bearing optimization design, and solves the problems that a traditional bearing design process is low in efficiency, and multi-target collaborative optimization is difficult to achieve. And the design method combining the empirical formula and the finite element model is poor in precision due to the strong coupling characteristic of the material nonlinearity, the thermal coupling effect and the bearing performance under the ultra-high-temperature heavy-load working condition. The method comprises the following steps: S1, determining a bearing parameter, a working condition parameter and a particle swarm algorithm parameter; s2, establishing an optimization model of the ultrahigh-temperature heavy-load self-aligning roller bearing: S21, establishing a target function; s22, determining a design variable; s23, establishing a constraint equation; and S3, optimizing corresponding parameters of the bearing by adopting a particle swarm algorithm to obtain an optimization result. The method is suitable for a self-aligning roller bearing optimization design scene.

The invention discloses a simulation method and system for progressive damage and failure removal of a composite material, and belongs to the field of computer-aided engineering, and the method comprises the following steps: S1, coupling solving: solving a partial differential control equation set describing heat transfer and solid mechanics, and considering a coupling effect caused by thermal strain and the influence of temperature on material attributes, obtaining the temperature field and displacement field distribution of the current time step or iteration step; s2, material state calculation: on the basis of the temperature and the displacement field obtained in the coupling solution step, calculating the material state of an integral point of each unit in the model by using a predefined composite material constitutive model; and S3, unit processing and grid updating: after the material state calculation is completed, executing unit processing and grid updating. According to the invention, the final failure behavior of the structure can be predicted more comprehensively and accurately.

The invention relates to the technical field of environment monitoring, in particular to an inland river basin water and soil element intelligent monitoring and coupling effect analysis system which comprises a data acquisition module, a data processing module, a coupling analysis model building module, a coupling effect analysis module, a decision support module and a visual display module. The data acquisition module acquires water and soil element data in real time, the data processing module preprocesses the acquired data, the coupling analysis model building module predicts the future trend of water and soil elements, and the coupling effect analysis module analyzes the coupling effect between the water and soil elements in combination with a geographic information system and a hydrological model. The decision support module provides water resource configuration, agricultural irrigation and environmental protection optimization suggestions by using a multiple regression analysis and decision tree algorithm, and the visual display module visualizes various data and analysis results; scientific basis is provided for water and soil resource management of the inland river basin, the resource utilization efficiency is improved, and ecological environment protection is promoted.

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 discloses an experimental device and an experimental method for gas / dust explosion flame-shock wave superposition coupling effect and combustible medium explosion transition induced by gas / dust explosion flame-shock wave superposition coupling effect under multi-parameter influence. Comprising a visual explosion system, a gas leakage diffusion system, a powder leakage diffusion system, an ignition system, a gas supply system, a powder spraying system, a discharge system, a displacement regulation and control system, a data acquisition system, a synchronous controller and a program control and data acquisition system. According to the experimental device and the experimental method for the gas / dust burning flame-shock wave superposition coupling effect under the influence of the multiple parameters and the induced combustible medium burning explosion transition thereof, the action processes of mutual impact, superposition, coupling and the like of detonation / detonation head-on flame-shock wave under the multiple working condition parameters can be realized; and the experimental study on the process of inducing the leakage diffusion combustible medium explosion transition and the critical condition thereof fills the technical blank of the study on the explosion flame-shock wave coupling effect process and the secondary disaster evolution mechanism induced under the influence of multiple parameters.

The invention relates to the technical field of gear mechanical calculation, in particular to a spur gear and rolling bearing transmission system analysis method, device and equipment and a medium. The method comprises the steps that spur gear design and working condition parameters are obtained, and the meshing process is analyzed to obtain initial meshing rigidity; constructing a transmission dynamics model, and introducing initial rigidity to solve an initial dynamics response; analyzing a meshing process under bearing deformation based on the response, and obtaining a corrected meshing position; the gear tooth stress and tooth surface lubricating state is analyzed based on the position, and the corrected meshing rigidity and the tooth surface friction coefficient are obtained; introducing parameters and solving to obtain a corrected dynamic response; judging whether an iteration stop condition is met or not, and if not, replacing the initial response with the corrected response to repeat the analysis; according to the method, the meshing position, the rigidity and the friction coefficient are dynamically corrected through an iteration mechanism, the coupling effect of bearing deformation and tooth surface friction is considered, and the analysis precision of a straight gear-rolling bearing transmission system is effectively improved.

The invention relates to a doubly-fed induction generator (DFIG) fault detection and early warning method based on multi-scale latent variable regression (MSLVR), is suitable for multiple fault types and complex coupling effect scenes, and belongs to the technical field of fault detection. According to the method, firstly, key coupling variables influencing the DFIG are analyzed and selected from the angle of information theory, and the time scale is expanded through multivariate variational mode decomposition (MVMD), so that the data quality is optimized. Then, aiming at the defect that latent variable regression (LVR) is difficult to pay attention to the local influence of a sub-mode in multi-scale data processing, designing a serial architecture to gradually extract and eliminate interference of different components; and the residual subspace is processed by further combining principal component analysis (PCA), so that the online detection method capable of identifying early DFIG faults is developed. Through training and optimization, the model is finally stored for calling, the influence of the coupling effect on the DFIG can be effectively eliminated, efficient and accurate fault detection and early warning can be realized in various fault type scenes, and the detection accuracy is obviously superior to that of the existing mainstream method.

The invention relates to the technical field of power equipment fault detection, in particular to a fault detection method for a cable branch box, and aims to solve the problems that a single monitoring means is generally adopted in a traditional method, corrosion of connecting pieces is accelerated by condensation in the box, and the coupling effects such as insulation performance reduction in a high-temperature environment cannot be effectively recognized. Through multi-modal data acquisition, dynamic threshold adjustment and fusion model analysis, coupling analysis of the cable state and the environmental parameters is realized, the problems of data splitting, early warning lag and positioning fuzziness of a traditional method are solved, and the method has the advantages of integrating multi-dimensional monitoring data, dynamically adjusting a fault judgment standard and improving fault positioning precision.

The invention provides a surrounding rock creep anchor rod timeliness test system under a high ground stress-high temperature coupling effect, and the system comprises a sample, an anchor rod drawing loading system, a confining pressure pressurization assembly, a heating assembly and a data monitoring assembly, and the confining pressure pressurization assembly and the heating assembly apply confining pressure and a temperature field to the sample; the high ground stress-high temperature coupling environment of the deep composite rock mass is simulated, a sample is placed in the high ground stress-high temperature coupling environment of the simulated deep composite rock mass, various parameter data of the sample are detected in real time through the data monitoring assembly, and then various parameter data monitored by the data monitoring assembly in real time are analyzed, so that the high ground stress-high temperature coupling environment of the deep composite rock mass is simulated. The influence of the creep effect of the deep composite rock mass on the anchoring performance of the anchor rod is deeply researched, so that the anchoring interface damage evolution rule under the multi-strain-rate coupling effect is disclosed.

The invention relates to the technical field of rock mass mechanics, and discloses an experimental analysis device for a multi-field coupling process of ice rock collapse, comprising: a temperature control module for controlling the temperature of an experimental sample; the loading simulation module is used for simulating the action of external force in the ice rock collapse process; the sensor and data acquisition module is used for acquiring stress, strain, temperature, displacement and crack data of the sample in the experiment process; the freezing and thawing control module is used for simulating a freezing and thawing cycle process; the visual monitoring module is used for monitoring sample form and temperature change in real time; and the central control and analysis module is used for coordinating the work of each module and analyzing the data in real time. According to the invention, through integration of a plurality of physical fields such as a temperature field, a pressure field, a stress field and a displacement field, the multi-field coupling effect in the ice rock collapse process can be simulated at the same time, and through simultaneous application of temperature change, external force loading and freeze-thaw cycle, the complex physical process of ice rock collapse can be reproduced more truly.