135 results about "Three dimensional stress" patented technology

A well location and well trajectory determination method, comprising: on the basis of a stratum pressure test, and a flow phase constraint of each stratum, establishing a full-stratum-series three-dimensional rock mechanical parameter field model, so as to obtain full-stratum-series rock mechanical parameters; on the basis of a geological structure, and a stratum pressure field of each stratum, establishing a three-dimensional full-stratum-series stress field prediction model, so as to acquire full-stratum-series three-dimensional stress field parameters; on the basis of the full-stratum-series rock mechanical parameters, the full-stratum-series three-dimensional stress field parameters and a three-dimensional natural fracture model, establishing a natural fracture activity prediction model, so as to evaluate fracture activity; and determining a well location and a well trajectory on the basis of a three-dimensional original field geostress model, a three-dimensional fracturability prediction model, the fracture activity and a three-dimensional collapse pressure prediction model. By means of the method, the effects of drilling speed increases and modification and production increases can be achieved in complex oil and gas field blocks. Further provided are a drilling speed increase method, a modification and production increase method, a well location and well trajectory determination apparatus, an electronic device, and a computer-readable storage medium.

The invention provides an aviation fastener service life prediction method and system based on stress analysis, and the method comprises the steps: collecting a dynamic stress data set of a target fastener in a service environment, carrying out the three-dimensional stress field reconstruction of the dynamic stress data, and obtaining a three-dimensional stress field model; the method comprises the following steps: generating stress distribution characteristics including an axial stress gradient, a radial stress cumulant and a tangential stress fluctuation coefficient, and then calling a pre-trained life prediction model to carry out nonlinear degradation analysis on the stress distribution characteristics to obtain a residual life prediction value and a key failure area identifier of a target fastener. Further, on the basis of the incidence relation between the temperature fluctuation sequence and the material thermal expansion coefficient, service environment compensation correction is conducted on the residual life prediction value, and finally, a fastener maintenance strategy set containing a stress release path adjustment scheme and a surface strengthening treatment scheme is generated according to the key failure area identifier; and precise prediction and effective maintenance of the service life of the aviation fastener are realized.

The invention relates to a stamping die service life dynamic evaluation system and method based on multi-mode sensing. According to the system, a feature extraction module obtains stress distribution data and crack position information and inputs the data into a trained three-dimensional stress field model to obtain dynamic feature parameters of a stress concentration area under high-frequency cyclic loads; the crack prediction module judges the dynamic characteristic parameters based on a preset threshold value, and once the dynamic characteristic parameters exceed the preset threshold value, analysis is carried out according to the mapping relation between the stress level and the crack rate and the microstructure evolution rule at the same time, and a crack propagation prediction value is generated. And the service life evaluation module inputs the crack propagation prediction value into the trained health state evaluation model, and finally the service life evaluation value of the stamping die is obtained. The service life evaluation value of the stamping die under the existing working condition and the operation condition is accurately estimated, the production efficiency is effectively improved, the production cost is reduced, the potential crack risk of the die is perceived in advance, and accurate and dynamic die service life evaluation is achieved.

The invention relates to the technical field of electronic manufacturing quality detection, and discloses a multilayer circuit board quality detection method and system, and the method comprises the steps: collecting the surface interference fringe data of a circuit board through a computer-generated holography technology, and reconstructing the three-dimensional position of an alignment mark; internal stress distribution is detected through a photoacoustic coupling system, and a three-dimensional stress tensor field is reconstructed; establishing a PCB deformation dynamic model by using a multi-layer time sequence deep learning network; establishing a stress deformation correlation model through a physical information graph neural network; realizing feed-forward compensation and process optimization according to a dynamic prediction result; according to the method, computer-generated holography, photoacoustic imaging and deep learning technologies are integrated, the registration precision and internal stress distribution of the multilayer circuit board can be detected in a lossless and high-precision mode, the dynamic change trend of the multilayer circuit board can be predicted, active compensation and process optimization are achieved, and the product quality and the manufacturing yield are effectively improved.

The invention relates to the technical field of nondestructive testing, and discloses a crack detection device and method for precise automobile parts. The method comprises the following steps: carrying out ultrasonic multi-dimensional pre-scanning and acoustic impedance abnormal region identification on a to-be-detected automobile part, carrying out influence range calculation and sensitive threshold classification based on abnormal region distribution data, and obtaining stress-acoustic response time sequence data through partition grabbing force distribution and stress loading; three-dimensional stress field reconstruction and stress concentration area identification are realized; performing dual-frequency stress modulation excitation and multi-physics field synchronous detection on the stress concentration area to obtain a multi-physics field response signal, performing multi-parameter fusion calculation and multi-scale wavelet decomposition of acoustic components on the multi-physics field response signal, and performing feature dimension splicing to obtain crack feature classification data; and calculating and generating a crack detection result based on feature similarity matching and extension prediction. The precision and reliability of crack detection of the automobile parts are remarkably improved, and the damage risk in the detection process is avoided.

The invention provides a deep tunnel excavation physical simulation test three-dimensional stress field real-time prediction method, and relates to the technical field of tunnel engineering. Comprising two stages of model construction and training and model use. In the model construction and training stage, a physical constraint reference model is constructed, and training optimization is completed; and in the model use stage, real-time prediction of a stress field of a deep engineering physical simulation test is realized through the trained and optimized model. The method has breakthrough advantages in the aspects of physical law constraint, real-time monitoring data fusion, training loss stability, boundary stress condition accuracy and the like, and is a high-reliability three-dimensional stress field prediction method oriented to a deep complex environment.

The invention relates to the technical field of hydraulic test of nickel alloy pipes, and discloses a hydraulic test system for a thin-wall nickel alloy pipe. According to the system, in the axial loading state of the thin-wall nickel alloy pipe, a closed water pressure cavity is established through an annular sealing clamp, and then strain distribution data on the surface of the pipe body is collected through a distributed optical fiber sensor array. And constructing a three-dimensional stress field reconstruction model based on the acquired strain distribution data, calculating an equivalent plastic deformation threshold value of the pipe body under different water pressure gradients, adjusting a water pressure loading curve slope parameter according to the equivalent plastic deformation threshold value, and generating a dynamic water pressure loading instruction. And the high-frequency pressure pulse generator executes the instruction, synchronously triggers the X-ray diffractometer to collect lattice distortion data of the tube body, inputs the data into the material microscopic damage evolution model, and outputs a microscopic defect spatial distribution map. And finally, material constitutive parameters of the three-dimensional stress field reconstruction model are corrected based on the atlas, closed-loop feedback control is formed, and multi-dimensional data acquisition and accurate management and control of the thin-wall nickel alloy pipe hydrostatic test are achieved.

The invention provides a coal mine roof dynamic monitoring and early warning method and system based on artificial intelligence, and relates to the field of coal mine safety, and the method comprises the steps: collecting a stress waveform and a displacement waveform of a coal mine roof, extracting stress loosening characteristics, and constructing a three-dimensional stress conduction strength field; identifying a stress sudden change transition point by using a recurrent neural network to form a stress conduction chain; analyzing a regional topology migration rule and extracting a stress field instability path; matching with historical data to determine a prediction window; and continuously verifying the instability path and generating a support reinforcement scheme. The coal mine roof instability risk can be predicted in advance, and the early warning accuracy and timeliness are improved.

The invention discloses a monitoring and repairing method and device for tunnel deformation and a medium, and relates to the technical field of tunnel treatment. The method comprises the steps that optical fiber sensors are arranged on the lining surface of a tunnel in a rhombic grid mode, temperature sensors are integrated for the optical fiber sensors, and digital passports are generated for the optical fiber sensors and the temperature sensors; acquiring strain field data of the lining surface through an optical fiber sensor, performing temperature compensation on the strain field data, and establishing a distribution model; stress distribution characteristics of tunnel damage and historical data of corresponding repair cases are obtained, a first repair instruction is generated, and the stress distribution characteristics of the tunnel damage comprise three-dimensional stress distribution and a failure evolution path; and performing tensor slicing processing on the distribution model, matching the distribution model with historical data, and generating a second repair instruction by adopting an optimization algorithm. According to the method, the full-section high-density monitoring of the three-dimensional stress field is realized, the integrity and traceability of the monitoring data are ensured, and the accuracy is improved.

The invention provides an intelligent prediction method and system for differential settlement of an expressway broadening roadbed, and relates to the technical field of expressway broadening. The method comprises the following steps: acquiring data at a joint of new and old pavements in real time, constructing a three-dimensional stress field model, identifying a weak area and generating a topological structure, mapping coordinates to filler particle size parameters by combining a pore water pressure gradient, dynamically distributing creep parameter weights, and generating a creep cloud picture. Extracting a strain rate characteristic value, establishing a traffic load-shear strength degradation incidence matrix, correcting a shear strength factor, constructing a settlement differential model, and predicting settlement distribution. And comparing the optimized parameters by using triple residual errors, when the similarity coefficient reaches the standard, outputting a settlement early-warning map, and dividing early-warning grades. According to the method, multi-source data are fused, the early warning coincidence degree is improved, and the settlement prediction precision and the prevention and control timeliness are improved.

The invention provides a data processing method and system based on intelligent construction, and relates to the technical field of intelligent construction.The method comprises the steps that viscosity, a temperature peak value, temperature and humidity and time delay distortion data in the solidification stage are collected in real time in the concrete pouring construction process, and a material stress relaxation model is constructed to calculate three-dimensional stress distribution; meanwhile, mapping sound wave time delay distortion data into a spatial topological graph, and extracting propagation anomaly features by using a space-time graph convolutional network; and generating a crack risk distribution diagram by fusing stress distribution and abnormal characteristics, and finally, accurately positioning a potential defect area according to risk gradient change. The early warning capability of concrete construction quality defects is improved.

The invention provides a machining cutter feeding speed control method and system.The method comprises the steps that a three-dimensional stress field, a temperature field and cutter micro-vibration characteristics of a cutter cutting area are collected through a preset sensor array, and real-time plastic deformation parameters of a workpiece material and machine tool spindle power fluctuation data are combined; forming a corresponding processing state sensing matrix; obtaining a machining constraint condition of the tool, and optimizing the initial particle swarm algorithm through the machining state sensing matrix and the constraint condition to generate a corresponding target particle swarm algorithm; a speed reference curve matched with the cutter is generated in real time through a target particle swarm algorithm, and cutting noise spectrum features are collected through a high-frequency sonic sensor; and performing conversion processing on the speed reference curve and the cutting noise spectrum characteristics to generate a feeding speed matched with the cutter in real time. The feeding speed can be accurately controlled, and the production efficiency is correspondingly improved.

The invention provides a novel multi-source information and damage coupled coal mine rock burst prediction method. The method comprises the following steps that rock mass fracture signals, a three-dimensional stress field and acoustic emission parameters are collected in real time through a micro-seismic monitoring array, an optical fiber stress sensor and a rock sound probe; an LSTM-attention fusion module is adopted to carry out spatio-temporal feature extraction on the collected multi-source data, an attention weight coefficient is generated, and a weighted fusion feature vector is output; calculating the rock mass damage degree based on a statistical damage mechanics Weibull distribution theory; based on the law of conservation of energy and the damage mechanics theory, a dynamic energy threshold function is constructed, the mining time effect and the rock mass damage state are incorporated into a quantitative evaluation system, and a dynamic energy accumulation rate threshold function is established by introducing a time accumulation effect and a damage coupling term; when the real-time energy accumulation rate is larger than or equal to the energy accumulation rate threshold value and the time derivative of the energy accumulation rate is larger than the sudden change threshold value, third-level early warning is triggered. According to the invention, advanced accurate early warning of the rock burst can be realized.

The invention discloses an optimal reservoir building horizon site selection method for a multi-layer water-bearing gas reservoir underground gas storage. The method comprises the following steps: performing reservoir feature evaluation on each layer in a target gas reservoir; analyzing a reservoir cover system by utilizing the relationship between the lithologic configuration relationship of two sides of the fault and the fault mud ratio, and evaluating the change of a three-dimensional stress field under the injection-production pressure disturbance; from the perspective of production dynamics, historical data of a target gas reservoir are researched for productivity analysis, the water invasion amount and the gas-water ratio are calculated layer by layer, fine description and quantitative characterization are performed on the water invasion dynamics, and the gas-water distribution and migration conditions are determined; and finally, carrying out comprehensive evaluation, and selecting an optimal library building horizon. From two aspects of reservoir geologic characteristics and production dynamics, quantitative analysis and evaluation are carried out on all layers and small layers of the target gas reservoir, then the optimal target layer position can be relatively accurately selected, the reservoir building operation effect is good, the oil ring damage degree is small, and bottom water invasion can be effectively blocked.

The invention provides an aircraft skin assembly deformation suppression method based on stress field regulation and control, and belongs to the technical field of aircraft assembling.The aircraft skin assembly deformation suppression method comprises the steps that skin parameters and riveting parameters are collected, and trigger conditions are set; establishing a three-dimensional stress displacement field model based on a thin plate theory for the skin meeting the triggering condition, and performing simulation calculation to obtain a non-riveting area displacement field distribution diagram and a stress gradient distribution diagram; a high-risk area judgment model is established, and a high-risk area prone to deformation is delimited through simulation calculation according to the stress gradient; determining an adhesive tape laying scheme and laying an adhesive tape in the high-risk area; and riveting operation is conducted on the skin, real-time pretension is monitored, a real-time pretension grading interval is divided, corresponding adjustment measures are taken according to the real-time pretension, riveting operation continues to be conducted, and skin assembling is completed. By the adoption of the method, the deformation amount of the non-riveting area of the skin can be controlled within an extremely small range, and the high-precision requirement of aircraft assembly is met.

A submarine landslide-seabed-pipeline three-dimensional mechanical analysis experiment system comprises a high-speed landslide driving system, a high-pressure photoelastic observation system, a three-dimensional stress acquisition system and a central controller. The high-speed landslide driving system drives the photoelastic landslide body to achieve high-speed linear motion under the gradient condition through a crawler-type driving mechanism, and the gradient high-speed motion characteristic of a real submarine landslide is simulated. The high-pressure photoelastic observation system comprises a photoelastic seabed, a photoelastic pipeline assembly, a high-pressure sealed cabin and a top hydraulic loading mechanism, and pore pressure distribution and a three-dimensional stress field in the impact process are dynamically developed through the photoelastic effect by combining the refractive index difference of fluid in pores and a photoelastic material with pore pressure data. The three-dimensional stress acquisition system captures multi-angle photoelastic stripes in real time and solves a global three-dimensional stress tensor. The central controller cooperatively regulates and controls all the systems, and control over high-speed movement, the high-pressure environment and material variables is achieved. The system well meets the quantitative research requirements of the submarine landslide disaster-causing mechanism and the protection design.

The invention relates to the technical field of grouting tests, in particular to a three-dimensional high-pressure splitting grouting test method, which comprises the following steps: laying a rock mass sample in a large cubic test box, and applying a stable three-dimensional stress field to the sample in three directions by using a multi-hydraulic cylinder array; grout is injected in a stress maintaining state, grouting pressure, grouting flow and hydraulic cylinder data are synchronously collected to generate a pressure-flow-time relation curve, and meanwhile the grout diffusion process is directly observed through a visual window. According to the method, boundary interference is effectively reduced through a large-size sample and uniform loading, so that slurry is naturally diffused in a stress environment close to a real stratum. The dynamic stress compensation technology maintains boundary stability, and ensures that splitting expansion is not influenced by artificial constraint. A pressure-flow-time curve is combined with visual observation, and the diffusion rule of slurry in a three-dimensional stress field is clearly presented. According to the method, a test means closer to reality is provided for the underground engineering grouting process, and the reliability of grouting parameter design is remarkably improved.

The invention relates to the technical field of equipment state monitoring, in particular to an equipment state monitoring and maintenance system, and provides the following scheme: acquiring three-dimensional stress energy density distribution data of a roller bearing seat, predicting a roller surface microcrack expansion trend, and generating a dynamic residual life index; rolling force compensation is carried out by combining the ellipticity data of the section of the pipe; meanwhile, by synchronously collecting Barkhausen noise signals and cooling medium flow data, the cooling intensity is adjusted in real time; in order to ensure the roller health, a roller health weight is generated based on the dynamic residual life index, a rolling force compensation model is constructed, rolling force distribution is optimized through a particle swarm optimization algorithm, and the uniformity of the wall thickness of the pipe is ensured; the method effectively prevents roller damage and pipe wall thickness mutation, improves the production efficiency and the product quality, and prolongs the service life of equipment.

The invention relates to the technical field of slope reinforcement, and particularly discloses a slope reinforcement system and method for building municipal administration, slope rock mass strain time sequence data is collected through a distributed optical fiber sensing system, slope deformation monitoring data is obtained through a spaceborne interferometric synthetic aperture radar, and a three-dimensional deformation monitoring data set is constructed; an LSTM-rock constitutive model fusing a DFOS strain field and an InSAR deformation field is established, strain time sequence data and deformation data are input into the model for three-dimensional stress field inversion, and shear modulus degradation rate parameters, creep coefficient parameters and displacement increment prediction data are output; shear modulus degradation rate parameters, creep coefficient parameters and displacement increment prediction data are processed, regulation and control strategy codes of anchor rod tensioning force gradients and grouting pressure intervals are generated and uploaded to a control terminal, the precision and timeliness of slope stability analysis are remarkably improved, accurate intervention can be conducted in time according to potential risks of a slope, and the stability of the slope is improved. The probability of geological disasters such as landslide is reduced, and life and property safety of people is protected.

The invention relates to the technical field of engineering structure health monitoring and artificial intelligence, and discloses an offshore wind turbine tower drum base three-dimensional stress distribution prediction and visualization method, which comprises the following steps: generating batch working conditions by presetting a bending moment range and an interval, and calling a finite element software automation script to execute static analysis; node stress values are extracted and integrated into a structured training data set; customizing neural network training: constructing a full-connection network, and training a model by adopting a standardized preprocessing and early stop mechanism; generating an interactive cloud picture: generating a 3D stress cloud picture HTML (Hypertext Markup Language) file supporting rotation / zooming / data query based on a spatial interpolation algorithm and a Plotly tool, and automatically marking the coordinate and the numerical value of a maximum stress point; and end-to-end system deployment: packaging as a Flask Web application, and inputting a bending moment value by a user to generate an interactive cloud picture in real time. The stress analysis period is greatly shortened, the engineering application threshold is reduced, and rapid evaluation and remote cooperation of the offshore wind turbine tower drum base can be efficiently supported.

The novel digital mandibular advancement appliance parameter design method comprises the following steps: step 1, constructing a three-dimensional finite element model comprising upper and lower jawbones, dentition, periodontal ligament, temporal-mandibular joints and a mandibular advancement appliance based on the three-dimensional finite element model; adjusting the boundary of the three-dimensional finite element model through the mandible kinematics parameters to form a simulation boundary; 2, constructing a multi-parameter collaborative prediction model based on the obtained stress data under different combinations of the mandibular protraction amount and the vertical opening amount; based on the stress data, constructing a three-dimensional stress distribution cloud picture by adopting three-dimensional simulation interaction software; 3, inputting the simulation boundary into the multi-parameter collaborative prediction model, and outputting risk early warning information; and 4, determining design parameters of the mandibular advancement appliance based on the three-dimensional stress distribution cloud picture and the risk early warning information. According to the method, the parameters of the appliance are customized, and the designed forward movement amount and the opening amount of the appliance better conform to personal characteristics.

The invention relates to the technical field of data analysis, in particular to an artificial ore pillar replacement system and method based on mechanical property optimization, and the method specifically comprises the steps: obtaining an ore top three-dimensional stress distribution cloud picture and geological structure data of a target ore pillar area; carrying out bearing effect evolution analysis to obtain a bearing effect evaluation value; performing stability effect evolution analysis to obtain a stability effect evaluation value; obtaining a mechanical demand comparison value according to a mechanical demand comparison strategy; and carrying out optimal parameter analysis on the replacement pillar by utilizing the replacement pillar parameter decision strategy, and generating an artificial pillar replacement scheme in real time. The method solves the problems that in the prior art, the top plate control qualification rate is low after ore pillar replacement, and the comprehensive cost of ore pillars is high.

The invention relates to the field of mine engineering and geotechnical mechanics, in particular to a rectangular roadway surrounding rock plastic zone prediction system under three-dimensional far-field principal stress rotation. According to the method, the magnitude and direction of the far-field principal stress of the rectangular roadway are obtained through field actual measurement, six stress components of the far-field principal stress of the roadway in a space rectangular coordinate system are obtained through matrix transformation of three-dimensional stress rotation, and a stress component function and a principal stress function of any unit around the roadway are obtained through a complex variable function analytical solution. A proper strength criterion is selected to obtain a roadway surrounding rock plastic zone boundary implicit equation, and the calculation process is coded into an executable automatic system through modular programming. Spatial feature points are extracted through a geometric reconstruction algorithm, and a scientific calculation visualization tool is called to automatically generate a two-dimensional section roadway surrounding rock plastic zone distribution diagram.

The invention discloses a visual seepage test device and method for shear fracture of a rock structural surface under true triaxial. The visual seepage test device comprises a fixed base, a lower shear box, an upper shear box, a seepage water inlet pipe, a seepage water outlet pipe, a seepage water inlet shear head and a seepage water outlet shear head, the fixed base is connected with a normal loading block of a true triaxial testing machine through pin nails, the lower shear box is fixed on the fixed base, the upper shear box and the lower shear box are oppositely arranged, and the seepage water inlet shear head and the seepage water outlet shear head are respectively embedded into the lower shear box and the upper shear box to form a water injection cavity I and a water injection cavity II; after the lower shearing box and the upper shearing box are closed, a closed sample cavity for clamping a rock sample and a transparent block is formed, and meanwhile, the water injection cavity I and the water injection cavity II form a seepage cavity. According to the device and the method, the visual shear simulation of the rock mass structural surface under the multi-field coupling environment of true three-dimensional stress-high osmotic pressure-chemical corrosion and the like is realized.

The invention provides a true triaxial stratified rock disturbance damage anisotropy model and a numeralization method, and the method comprises the following steps: S1, carrying out a true triaxial static test, and researching a peak intensity rule; s2, carrying out a true triaxial multistage disturbance test, and analyzing a disturbance critical intensity rule and anisotropic disturbance damage evolution characteristics; s3, establishing an anisotropic disturbance damage evolution equation; s4, constructing a stratified rock maximum failure constitutive equation under the true three-dimensional stress; s5, constructing a viscoelastic constitutive equation in which the true three-dimensional stress disturbance effect is introduced; s6, compiling the constitutive model established in S5 into a numeralization subprogram; s7, obtaining the maximum failure function parameter of the stratified rock in the peak state; s8, acquiring a three-dimensional disturbance yield function parameter of the stratified rock in a disturbance critical state; and S9, verifying the prediction effect and applicability of the model on the stratified rock disturbance deformation evolution. According to the invention, theoretical characterization of true three-dimensional stress, dynamic disturbance and spatial stratified coupling effect of stratified rock mass deformation and failure is realized.

The invention relates to the technical field of coal seam stress prediction, in particular to a coal seam three-dimensional stress prediction and visualization method, system and device and a medium, and the method comprises the steps: setting an artificial seismic source and a detection point, exciting a seismic source signal, and collecting a seismic wave response signal and a stress value; carrying out wave field forward modeling simulation through a time fractional order viscoelastic wave equation to obtain a forward simulation wave field, and carrying out full waveform inversion to output three-dimensional wave velocity data; performing reverse time migration imaging on the seismic wave response signal to obtain a three-dimensional coal seam structure mask pattern; performing slicing processing on the three-dimensional wave velocity data and the three-dimensional coal seam structure mask pattern along the same spatial dimension, then combining the three-dimensional wave velocity data and the three-dimensional coal seam structure mask pattern into an input tensor, inputting the input tensor into a convolutional neural network, and outputting a two-dimensional stress prediction slice; and splicing the two-dimensional stress prediction slices to construct a three-dimensional stress body, generating three-dimensional stress point cloud data, and further generating a three-dimensional stress grid model and a structure-stress integrated visual three-dimensional cloud picture. According to the invention, high-precision three-dimensional stress prediction and real-time early warning of the coal seam can be realized.

The invention discloses a power transmission line state evaluation method and device based on steel-cored aluminum strand stress change analysis, and the method comprises the steps: carrying out the drawing and stranding of a steel-cored aluminum strand of a power transmission line lead through COMSOL simulation software, and constructing a power transmission line lead simulation model; performing grid division and fine solution on the power transmission line conductor simulation model to obtain a three-dimensional stress grid division model; performing coupling of a set physical field on the three-dimensional stress grid division model, and performing simulation calculation on the stress of the power transmission line conductor under the coupling action of the set physical field to obtain a stress change result; generating a stress change cloud picture according to the stress change result; and according to the stress change cloud picture, evaluating the running state of the power transmission line by observing the stress change of the steel-cored aluminum strand stranded layer, and outputting an evaluation result. According to the invention, scientificity, integrity, accuracy and timeliness of state evaluation of the power transmission line can be improved.

The invention relates to the technical field of connectors, and provides a connector test damage detection method, a connector and an electric meter box, the detection method comprises the following steps: using an ultrasonic phased array probe to carry out full-matrix capture scanning on the connector subjected to a physical test so as to obtain internal ultrasonic original data; based on the internal ultrasonic original data, reconstructing a three-dimensional acoustic image by adopting a full focusing method, and calculating a first three-dimensional stress field according to the three-dimensional acoustic image; establishing a parameterized three-dimensional finite element model of the connector, and running explicit dynamics simulation on the parameterized three-dimensional finite element model to calculate a second three-dimensional stress field; performing voxel-to-voxel subtraction on the first three-dimensional stress field and the second three-dimensional stress field to generate a three-dimensional stress difference field; according to the local stress difference peak value in the three-dimensional stress difference field, whether damage exists in the connector or not is diagnosed, and the damage position is positioned. Therefore, the problem of testing stress damage in the connector is solved.

The invention discloses an anchor rod dynamic pull-out test device and method in a triaxial confining pressure environment, and relates to the technical field of simulation experiments, the anchor rod dynamic pull-out test device comprises a table I, a full-length bonding anchoring rock mass model and a table II, a reserved channel is formed in the top of the table II, a moving plate is arranged in the reserved channel, and the moving plate is connected with the table I; a first hydraulic cylinder is fixedly installed at the bottom of the moving plate, a confining pressure applying structure is arranged at the top of the moving plate, a model supporting structure is arranged at the bottom of the second table, and a linkage frame is arranged at the top of the first table. The situation that the prefabricated anchor rod is subjected to multiple different instantaneous impact forces is avoided; and after a certain dynamic loading force drawing experiment is finished, the computer firstly controls the hydraulic cylinder III to contract, and the positioning plate applies a certain static loading force to the drawing steel plate, so that the stress condition of the anchor rod in a real roadway can be accurately simulated, and the accuracy of an experiment result is ensured.

The invention belongs to the field of earth science and engineering geology, and particularly relates to a rock rough interface friction slip test device and test method.According to the rock rough interface friction slip test device and test method, multiple first test pieces are attached to the outer side wall of a test piece, multi-point detection can be conducted on the strain force of the test piece, and the defects of a traditional single or low-density sensing layout are overcome; and the completeness and accuracy of experimental data are improved. The upper shell and the lower shell apply confining pressure to the test piece, and the first force application part and the second force application part are matched to apply normal force and shear force, so that a three-dimensional stress field can be effectively simulated; the temperature changing mechanisms in the upper shell and the lower shell, the second test piece and the third test piece are used for detecting dynamic distribution and micro-fracture evolution of sliding friction heat generation, so that coupling monitoring of multiple physical fields such as sound, heat and strain is realized, and a multi-factor interlaced friction instability process under a real geological condition is effectively simulated; and powerful support is provided for deep exploration of geological disasters and engineering activity mechanisms.