415 results about "Stress wave" patented technology

The invention discloses a bridge engineering-oriented foundation pile quality detection system, which relates to the technical field of engineering quality detection, and comprises a data acquisition module configured to acquire detection data including foundation pile construction parameters, geological environment data, stress wave signals and geometric dimension parameters, the wave velocity correction module is configured to correct a standard wave velocity through a dynamic coupling algorithm, the defect depth calculation module is configured to calculate the defect depth of a foundation pile defect, and the credibility evaluation module is configured to output a credibility correction coefficient and feed back the credibility correction coefficient to the wave velocity correction module by quantifying errors of detection data; according to the method, through multi-physical field wave velocity correction, pile diameter-defect depth double correction and credibility quantitative iteration, a high-precision, objective and traceable integrated solution is systematically provided for bridge engineering foundation pile quality detection.

The invention discloses a tunnel monitoring method and system based on a vibrating wire sensor, and relates to the technical field of tunnel engineering construction safety monitoring, and the method comprises the steps: collecting the vibration frequency data and spatial position coordinates of the vibrating wire sensor in a monitoring region; the method comprises the following steps: calculating a time difference and an energy attenuation ratio between adjacent sensors by extracting spectrum energy density distribution, and constructing a stress wave propagation field; dividing grids in the propagation field to calculate node stress values, generating a stress field distribution cloud picture and extracting a stress concentration area; calculating a gravity center position coordinate change rate and a stress time sequence curve of the stress concentration area, and determining fracture extension parameters; and calculating a surrounding rock bearing capacity attenuation curve based on the parameters, and outputting an early warning signal when the slope exceeds a threshold value. According to the invention, real-time monitoring and early warning of the tunnel surrounding rock instability risk are realized.

The invention discloses an evaluation and improvement method and device for a tunnel blasting effect and a medium, and relates to the technical field of tunnel engineering.The evaluation and improvement method comprises the steps that a tunnel coupling data set is collected, space registration and three-dimensional shape reconstruction are conducted, fracture space distribution is formed, risk probability mapping is conducted on the fracture space distribution, and a fracture risk thermodynamic diagram is output; the fracture risk thermodynamic diagram and tunnel rock mass data are input into a digital twin blasting model, a load mapping layer carries out load gradient distribution, a rock mass response deduction layer carries out stress wave propagation simulation and damage accumulation quantification, an optimized blasting number instruction set is generated, and a drill jumbo is driven to execute blasting operation and vibration monitoring according to the optimized blasting instruction set. And actual blasting effect parameters are obtained. According to the method, accurate simulation of geological conditions and optimal adjustment of blasting parameters are realized through the digital twin blasting model, and meanwhile, refined and interpretable evaluation of the blasting effect is realized through vibration monitoring and error propagation modeling of the actual blasting effect.

The invention relates to the technical field of vibration monitoring, in particular to a self-powered transmission line fitting aeolian vibration damage diagnosis system and method, and the system comprises a sensing collection module, a signal decoupling module, a damage identification module, a damage association module and a risk assessment module. According to the method, stress wave velocity and acceleration data are synchronously collected, time alignment is implemented, feature coupling precision is enhanced, wave crest offset and energy density are respectively extracted by using moving average filtering and wavelet transform, effective data segments are dynamically screened, and environmental noise interference is suppressed. A stress wave propagation change rate is quantified based on a path attenuation model, a continuous energy abnormal node is matched to realize damage positioning, a breeze response abnormal region is identified by combining vibration direction change and a signal envelope offset degree, multi-dimensional features are coded and subjected to risk judgment through a neural network, a damage positioning and risk assessment closed-loop framework is formed, and the risk assessment accuracy is improved. And the spatial resolution and evaluation precision of aeolian vibration damage identification under complex working conditions are significantly improved.

The invention discloses a drilling construction intelligent decision support and risk early warning method, device and equipment, and the method comprises the steps: collecting drilling sound wave response data, carrying out harmonic analysis to recognize a reservoir resonance node, and constructing a reservoir energy conduction network; a fluctuation propagation path is tracked based on an energy conduction network, and a construction risk area is identified through stress wave spectrum features; porosity and permeability data are extracted for phase difference analysis, a seepage-construction mismatch factor is generated, and a construction optimization window is actively generated; constructing a geological potential energy gradient field to determine an overflow influence range, and performing tensor coupling on multi-dimensional risk factors to generate a three-dimensional construction decision matrix; an optimal construction scheme is generated through energy minimization and risk-efficiency dynamic balance processing; construction parameter response changes are monitored in real time, abnormal parameter combination symptoms are recognized, a grading risk early warning instruction is generated, and intelligent decision support and risk early warning of drilling construction are achieved.

The invention relates to the technical field of intelligent operation and maintenance, in particular to a bridge maintenance system based on data analysis, which comprises a multi-source data acquisition module, a fatigue degradation monitoring module, a wave velocity anomaly positioning module, a risk collaborative judgment module and a maintenance task planning module. According to the method, structural fatigue characteristics are subjected to cross validation by integrating two-dimensional data of a strain sequence and a stress wave propagation parameter, and a dynamic window range deviation degree is adopted to replace a static threshold value to establish a datum reference linked with a bridge bearing period; a same-path propagation difference value is extracted by using a high-frequency and low-frequency stress wave frequency band energy separation technology to detect continuous overrun, and a degradation trend weight and a priority list of damage space distribution are generated in combination with multi-index coexistence verification and a hierarchical sorting strategy; resource allocation is optimized by integrating a multi-level response mechanism of emergency repair coordinate positioning, directional detection and regular inspection, accurate crack positioning is achieved, the early degradation trend capturing capacity is enhanced, the misjudgment risk is reduced, and an operation and maintenance response chain is shortened.

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.

A distributed composite geotechnical sensor disclosed by the present invention comprises a multi-core cable, an optical fiber sensing member, at least two composite sensing members and a plurality of connectors, the multi-core cable is used for transmitting charge signals, and the optical fiber sensing member and the multi-core cable are arranged in parallel and at an interval and are used for monitoring temperature and stress. The at least two composite sensing pieces are sequentially arranged at intervals along the length direction of the optical fiber sensing piece, are arranged in the same core with the optical fiber sensing piece and are used for monitoring dynamic stress waves or vibration, and the plurality of connecting bodies are respectively arranged at two ends of the composite sensing pieces and are connected with the multi-core cable, the optical fiber sensing piece and the composite sensing pieces. The electric connector is used for electrically connecting the multi-core cable with the composite sensing piece. According to the invention, the problems of relatively single monitoring index and incapability of positioning due to the fact that a traditional piezoelectric geotechnical cable can only monitor external disturbance information and cannot realize distributed monitoring can be effectively solved.

The present application relates to the technical field of pyrotechnic impact equipment, and more particularly to a pyrotechnic impact isolation method using honeycomb porous materials. The present application uses the complexity of the transmission path of honeycomb porous materials to construct the satellite-rocket interface, increase the stress wave impedance of the satellite-rocket interface, reduce the stress wave transmissivity, and achieve the isolation of the pyrotechnic impact response. The present application uses the explicit finite element method to model and analyze the transient dynamics of the relevant structure, and studies the pyrotechnic impact isolation characteristics of honeycomb porous materials. The present application can effectively reflect the stress wave, dissipate the impact energy, achieve the effective isolation and suppression of the pyrotechnic impact, and improve the method of traditional satellite-rocket connection.

The invention provides an impact deformation feature extraction method based on high-speed camera shooting and image processing, and the method comprises the steps: collecting the transient deformation data of the edge package of a remote controller housing under impact through high-speed camera shooting, recording the change speed of a strain rate, obtaining the material characteristics, the size of a package structure, and the geometric discontinuous features of an opening and closing part, generating continuous frame sequence images; performing strain field data quantification processing on the third visualization result, extracting strain field characteristic data, and judging influence weights of stress wave reflection on strain fields of different functional areas of the shell in combination with a falling height and an impact angle of the remote controller; and improving edge packaging design parameters according to the deformation buffer effect and discontinuous quantitative indexes at the opening and closing positions, verifying the improvement amplitude of the deformation buffer effect, and obtaining strain field distribution data of the optimized shell.

The invention relates to the technical field of tunnel engineering, in particular to a method and a system for optimizing design parameters based on unsymmetrical pressure tunnel blasting excavation dynamic response. The method comprises the following steps of obtaining geological parameters and construction parameters of surrounding rock of the bias tunnel, constructing a discontinuous structure equivalent damage model, and obtaining initial stress field distribution of a rock mass in combination with the discontinuous structure equivalent damage model, the geological parameters and the construction parameters; analyzing the time-varying modified dynamic mechanical parameters, and calculating through a stress wave propagation path and an energy dissipation rule to obtain a time travel curve of dynamic stress and vibration speed of each point of the surrounding rock in the blasting process; correcting a dynamic response index by using a self-adaptive artificial boundary condition to obtain a dynamic response state characteristic; and on the basis of the initial stress field distribution of the rock mass, the time history curve and the dynamic response state characteristics, optimal design parameters are obtained according to optimal design indexes. According to the method, the balance between the blasting vibration strength and the construction efficiency is realized by optimizing and adjusting the design parameters.

The invention discloses a tunnel precise drilling and blasting design method integrating multi-source intelligence and closed-loop optimization. The method comprises the steps that geological parameters are collected through geological detection equipment; based on fracture mechanics and rock mass damage theories, constructing a quantitative relation model reflecting joint network distribution, stress wave propagation characteristics and a rock mass crushing effect coupling mechanism; inputting the geological parameters into a pre-constructed multi-dimensional knowledge base, integrating historical engineering data association rules by the multi-dimensional knowledge base by using a graph database, and extracting geological features; based on a deep learning model, analyzing the mapping relation between the geological features and the blasting parameters, and generating a preliminary blasting scheme including the blast hole distance, the charging structure and the detonating mode; according to the method, a closed-loop optimization system of geologic features-blasting parameters-effect evaluation is constructed, so that dynamic intelligent decision-making and construction self-adaptive regulation and control of tunnel drilling and blasting design are realized, and the contour forming precision and the blasting efficiency are remarkably improved.

The invention provides a three-axis six-direction impact test simulation method and system based on an F-DEM, and the method comprises the steps: building a full-size model frame, coupling the F-DEM, carrying out the dynamic solving of a model, and carrying out the post-processing of automatic data. The invention further provides a triaxial six-direction impact test simulation system based on the F-DEM, a three-dimensional full-scale numerical model is established based on basic parameters of a waveguide rod and a rock sample in a TEHB test system, and the three-dimensional full-scale numerical model comprises a discrete element rock sample model and a finite element waveguide rod model. According to the method, efficient coupling modeling of the finite element waveguide rod and the discrete element rock sample is achieved, the method has good stress wave propagation precision, the dynamic response behavior of the rock sample under triaxial six-direction loading can be accurately simulated, and efficient and verifiable technical support is provided for impact response analysis and engineering application research of the rock mass in a complex stress environment.

The invention provides an RV reducer online fault diagnosis method, and belongs to the technical field of reducer fault diagnosis based on computer data processing. The method comprises the following steps: firstly, constructing a fault data set covering multi-modal signals and multiple working conditions, and integrating vibration, current and high-frequency elastic stress wave data; performing segmentation, time-frequency conversion and multi-modal feature fusion on the original time series data to generate a three-channel time-frequency feature map, and strengthening visual expression of fault features; then constructing a domain adversarial attention neural network, and realizing cross-working-condition fault feature migration and accurate classification through adversarial training of a feature extractor, a fault classifier and a domain classifier; and finally, deploying an online diagnosis model, generating a health indicator in combination with the health state baseline model, predicting the remaining service life through a long short-term memory network, and completing fault early warning and life evaluation. According to the method, accurate fault identification and residual service life prediction under complex working conditions are realized, and reliable technical support is provided for the RV speed reducer.

The invention relates to the field of building materials, and discloses high-toughness and high-energy-absorption polymer emulsion modified mortar and a preparation method thereof, and the mortar is composed of ordinary Portland cement, river sand, a polymer emulsion, water, an active admixture and chopped fibers. Wherein the polymer emulsion is selected from styrene-acrylic emulsion (SBR), ethylene-vinyl acetate (EVA), polyurethane emulsion or a combination thereof; the mixing amount is 5-20wt% of the mass of the cementing material. According to the invention, a viscoelastic network is formed in a cement matrix through the polymer emulsion, and the synergistic effect of the active admixture and the chopped fibers is combined, so that the bonding strength, the crack resistance, the impact resistance and the stress wave dissipation capability of the mortar are remarkably improved. Test results show that the mortar provided by the invention is obviously superior to ordinary mortar in the aspects of 28d breaking strength, impact toughness and stress wave attenuation performance, and is suitable for high-performance constructional engineering and protective engineering.

The invention discloses a test device and method for simulating an ultra-high-speed penetration ground impact effect, and the device employs a static load loading system to apply a static load to the periphery of a sample so as to simulate a ground stress environment, and employs a dynamic load loading system to apply an impact dynamic load to the top of the sample so as to simulate ground impact. In the dynamic loading system, a phase change reaction kettle is used for heating liquid CO2 to a supercritical high-pressure state; the liquid filling module is used for filling liquid CO2 into the phase change reaction kettle; the gun barrel is used for receiving high-pressure gas released by the phase change reaction kettle and forming ground shock waves similar to a plane; the stress wave lens module is used for adjusting the width of shock waves through a stress wave lens combination and acting the shock waves on the sample; the control module can control the shock wave peak pressure by regulating the heating power of the phase change reaction kettle, and can control the duration time of shock waves by regulating the bore diameter of the gun barrel. According to the invention, controllable and high-fidelity simulation of the ultra-high-speed penetration impact effect is realized.

The invention discloses a large-section tunnel blasting control method and system based on an energy dissipation mechanism, and the method comprises the steps: constructing a blasting region three-dimensional geomechanical model of rock mass mechanical parameters, and mapping the energy demand distribution of each point; based on the model, establishing a stress wave field propagation and interference prediction model for predicting a space-time stress field under any microsecond-level delay sequence; constructing a multi-target fitness function, and solving through intelligent optimization algorithms such as a non-dominated sorting genetic algorithm and the like to obtain an optimal microsecond-level delay sequence; the sequence is issued to a plurality of electronic detonators through a high-precision synchronization and safety protocol to execute detonation; and collecting actual blasting monitoring data, comparing the actual blasting monitoring data with a model prediction result, and carrying out adaptive correction on geologic model parameters by applying extended Kalman filtering. According to the method, the stress wave field interference is actively constructed to realize distribution of energy according to needs, multiple blasting targets are considered, and continuous optimization is performed through feedback, so that the blasting precision, safety and economical efficiency are improved.

The invention discloses a composite hose structure for fuel gas transmission, and relates to the technical field of fuel gas transmission and distribution equipment, the composite hose structure comprises a dual-mode quick sealing assembly, dual-mode monitoring is formed by an FBG sensor, a phase-sensitive optical time domain reflectometer and a carbon tube composite filament, the FBG sensor can capture fine strain of a reinforced fiber layer in real time, and the phase-sensitive optical time domain reflectometer can capture the fine strain of the reinforced fiber layer in real time; the phase-sensitive optical time domain reflectometer detects and captures stress waves generated by crack propagation in a material through broadband sound waves, early recognition of millimeter-level damage in a pipe is achieved, grids woven by carbon tube composite filaments are utilized, continuity of the grids is monitored in real time through alternating-current impedance measurement, and the detection accuracy of the millimeter-level damage in the pipe is improved. When local grid resistance is increased due to breakage of the reinforced fiber layer, a micro-damage area can be accurately positioned, when leakage occurs, the memory alloy spring receives an electric signal monitored by a dual-mode, then axial thrust is generated to push the outer side of the fluororubber sealing ring, the fluororubber sealing ring expands in the radial direction under the thrust action of the memory alloy spring, and the leakage is prevented. And rapid and effective mechanical hard sealing is realized.

The invention provides a building design method and system based on multi-objective optimization. Wherein the anti-seismic property and the material stress dissipation efficiency of the building are improved through multi-objective optimization. The method comprises the following steps: firstly, collecting building structure parameters, such as cycle ratio, inter-story displacement angle, axial compression ratio, dynamic load simulation data and material stress wave propagation data; based on the data, a dynamic coupling factor between the structure parameter and the dynamic load is generated, and the matching relation between the axial compression ratio and the stress wave peak value propagation rate is adjusted. And carrying out collaborative optimization on the parameters by adopting a non-dominated sorting strategy to obtain an initial structure parameter combination. And finally, performing iterative correction by taking the dynamic load simulation data as a constraint condition, and generating a structure parameter combination meeting the requirements of seismic redundancy and stress dissipation balance. According to the technical scheme, the safety and stability of building design can be improved.

This invention provides a split Hopkinson bar device for achieving single-pulse loading, comprising an incident bar, a transmission bar, an incident wave-catching unit, and a stress wave generating unit. The incident wave-catching unit includes an incident wave-catching sleeve and an absorbing bar. One end of the absorbing bar is spaced apart from the incident bar flange, and the other end is connected to the absorbing bar flange. The incident wave-catching sleeve is fitted around the absorbing bar, with its two ends respectively fitting against the absorbing bar flange and the incident bar flange. The compressive stress wave generated by the stress wave generating unit is reflected by the incident bar flange to form a tensile stress wave. After loading the sample, a portion of the stress wave is reflected back as a compressive wave and absorbed by the incident wave-catching unit. This solves the problem of multiple reflections and interference in traditional Hopkinson bars, achieving pure single-pulse tensile loading. The device is compact, has high energy utilization, and is suitable for testing the dynamic mechanical properties of materials.

The invention relates to the technical field of image segmentation, provides an image segmentation method and system for a cantilever system of a high-speed rail overhead line system supporting device, and solves the problems that defects in a metal part cannot be detected, and the defect recognition precision is low under high-frequency vibration noise interference. The method comprises the following steps: scanning a metal part of the cantilever system to generate a three-dimensional image, and collecting a stress wave signal of the surface of the metal part under the action of a dynamic load; based on the cyclic load parameter of the metal part, extracting the spectrum characteristic of the stress wave signal, and determining the energy distribution characteristic of the bolt joint by combining the geometric structure parameter of the bolt joint of the metal part; and fusing the three-dimensional image, the energy distribution characteristics, the temperature rise abnormal region and the electric field intensity distribution to generate a multi-source data set, and generating respective segmentation results of the fatigue crack and the insulation aging defect of the metal part in combination with the cyclic load parameters. According to the invention, high-precision collaborative segmentation of metal fatigue cracks and insulation aging defects of the cantilever system is realized.

The invention discloses a double-hole blasting stress wave superimposed effect regulation and control method based on a joint dip angle, which comprises the following steps: S1, carrying out geological exploration on a tunnel construction site, determining the joint dip angle alpha of a jointed rock mass, and simultaneously obtaining mechanical parameters of the rock mass and joints, the mechanical parameters at least comprise density, elasticity modulus, Poisson's ratio, compressive strength and tensile strength. According to the method, the influence of the joint dip angle on the double-hole blasting stress wave superposition effect is accurately controlled, parameter optimization is combined, the forming quality and safety of jointed rock tunnel blasting are effectively improved, and the method has good engineering application value.

The invention belongs to the technical field of transformer manufacturing, and particularly relates to a high-frequency transformer winding intelligent monitoring control system, which is characterized in that an acoustic emission energy data set is constructed by binding high-frequency stress wave signals and winding point space coordinates, a pressure gradient vector of each winding point is determined through two-dimensional interpolation processing and gradient field calculation, and the pressure gradient vector of each winding point is calculated; based on a pressure gradient vector change trend, identifying a pressure non-uniform point and a non-uniform evolution type thereof, matching a corresponding feedforward fine tuning action from a preset strategy library in combination with a relative phase of the pressure non-uniform point in a winding path, and performing active suppression before microdefects are solidified, and an intelligent decision-making mechanism deeply associated with the defect physical type and the process context is provided, acoustic emission signals of subsequent winding points are continuously monitored after the fine tuning action is executed, and the system can continuously accumulate process knowledge through effect evaluation and adaptive optimization of a strategy library, so that the winding control precision is favorably improved.

The invention discloses a gear fault diagnosis method and system based on piezoelectric stress wave signal active sensing, and relates to the technical field of fault diagnos.A piezoelectric sensing unit is arranged on a tested gear, meshing impact stress waves are captured in real time in a single-to-periodic mode, and a fault diagnosis result is obtained. A high-resolution time-angle combined waveform is obtained through high-pass-envelope-angle domain interpolation, and transient energy imaging is achieved; rapid wave crest counting is executed, emergency faults such as tooth missing and tooth breakage are found instantly, comprehensive criteria are constructed according to absolute peak values, relative deviation and adjacent tooth comparison three-dimensional features, tooth-by-tooth mapping is carried out, and anomalies are marked; and fusing the abnormal tooth ratio and the average severity to generate a damage index, continuously tracking the evolution trend of the abnormal tooth ratio, automatically distinguishing early warning and progressive degradation, completing full life cycle monitoring from micro-crack to peeling under a non-stop condition, outputting emergency, early warning and degradation three-level prompts, and realizing early warning. And the operation and maintenance safety and economy of high-reliability scenes such as wind power and rail transit are improved.

The invention discloses a compression molding method for an electrode frame cover plate of a flow battery, and relates to the technical field of energy storage battery manufacturing, and the compression molding method comprises the following steps: embedding a high-sensitivity miniature strain sensing unit on the inner wall of a forming mold cavity, constructing a stress response sensing network, and synchronously sampling to establish a dynamic time baseline; the sensor is used for capturing stress disturbance data in a forming period; and based on the dynamic time base line, extracting a strain change curve in pressure loading and unloading stages, reconstructing a stress wave propagation path diagram through time inversion, and determining a stress wave initial position and an energy distribution area. According to the method, the dynamic time base line and the stress wave propagation diagram are constructed, and the thermoacoustic test and the spectrum analysis are combined, so that the accurate identification of the energy focusing area is realized; high-frequency perturbation pulses are introduced in a pressure unloading stage, so that the coherence of stress waves is scattered, the peak stress is reduced, the generation of subfissures is inhibited, the sealing property and strength of the electrode frame cover plate are improved, and the service life of the flow battery is prolonged.

The invention relates to the technical field of strain measurement, and discloses a tunnel steel arch bearing capacity early warning method and system.The method comprises the steps that micro-strain pulses, curvature change voltage and high-frequency stress wave signals of key nodes of a steel arch are synchronously collected; fusing the strain change rate and the curvature acceleration to calculate a dynamic load gradient distribution parameter; stress wave energy abrupt change characteristics and voltage equivalents are extracted through wavelet packet decomposition and frequency domain differential; inputting the load parameters and the energy characteristics into a coupling damage evaluation model, and generating a real-time stress risk coefficient through exponential attenuation correction and convolution operation; and when the voltage equivalent exceeds a self-adaptive threshold value and the risk coefficient meets a critical condition, triggering a stress grading early warning instruction. According to the method, the problem of lack of a multi-physical-quantity cooperative monitoring and dynamic risk assessment coupling mechanism during early warning of the bearing capacity of the tunnel steel arch is solved, and the early warning precision and timeliness are remarkably improved.

The invention discloses a rock dynamic pressure-torsion experimental device and method based on a Hopkinson pressure bar, and belongs to the technical field of rock mechanics dynamic testing. The device mainly comprises a split Hopkinson pressure bar system and a spiral conversion mechanism, wherein the spiral conversion mechanism consists of a spiral (4) and a screw sleeve (5) which are meshed with each other; the screw (4) is fixedly connected with the incident rod (2), the screw sleeve (5) is fixedly connected with one end of a cylindrical rock sample (6), and the other end of the sample is fixedly connected with the transmission rod (7). The core is that the lead angle of the screw pair is greater than the equivalent friction angle of the screw pair under the impact load, so that the screw pair is ensured to be non-self-locked; and the sample (6) is of a hollow thin-wall cylinder structure. The method comprises the following steps: driving the spiral (4) to advance by utilizing axial stress waves generated by the split Hopkinson pressure bar, and driving the hollow sample to rotate by the screw sleeve in a forced constraint state, so as to synchronously apply dynamic axial compression and torsional shear combined load.

The invention relates to the field of power equipment health monitoring, and particularly discloses a post insulator crack damage detection and early warning method, device and system.The post insulator crack damage detection and early warning method comprises the steps that loaded mechanical characteristics of a post insulator are analyzed on the basis of stress wave signals, and a crack dynamic survival model is constructed according to the loaded mechanical characteristics to predict existence of cracks; determining an optimal phase space reconstruction parameter and drawing a recurrence plot for the post insulator predicted to have the crack, determining a multi-scale damage characteristic according to a change trend of the recurrence plot, and quantifying a crack damage degree based on the multi-scale damage characteristic; a damage process prediction model is constructed through the crack damage degree to calculate a damage evolution factor, the crack damage evolution trend of the post insulator with cracks is predicted, a health threshold value and a failure threshold value are set for double-layer early warning, and early accurate diagnosis and trend pre-judgment of the crack damage of the post insulator can be achieved. And the monitoring efficiency and the early warning reliability are improved.

The invention provides an FDEM-based rock blasting process simulation method and system considering blasting gas, and the method comprises the steps: building a jointed rock blasting numerical model comprising a blast hole, a rock mass and a joint network based on a finite element-discrete element coupling method; setting a static-dynamic unified boundary condition for the jointed rock mass blasting numerical model, and applying a blasting stress wave load; constructing an explosion gas action model, and dynamically calculating a transient explosion cavity area and transient gas pressure; transient gas pressure is coupled and applied to the boundary of the crack and the surface of the isolated rock; and operating the solver, simulating the whole process from stress wave propagation, joint attenuation effect, crack initiation and propagation to blasting gas driven crushing and throwing, and analyzing the result. The method provided by the invention overcomes the defect that the existing method is difficult to simultaneously and accurately characterize the joint effect and the action of the blasting gas, obviously improves the authenticity and reliability of the simulation of the blasting rupture process of the jointed rock mass, and provides an effective tool for blasting mechanism research and engineering optimization design.

The invention relates to the technical field of metal material surface engineering and equipment remanufacturing, in particular to an early acoustic emission diagnosis and laser cladding repair method for thermal fatigue cracks in a mold service process, which comprises the following steps: S1, synchronously acquiring and preprocessing multi-source heterogeneous data; stress wave signals are collected in real time through a broadband acoustic emission sensor array permanently integrated on the surface of a mold cavity, the frequency response range of the sensor is 100 kHz to 1 MHz, and the sensitivity is not lower than 95 dB. According to the method, accurate identification and positioning can be realized at the initial stage of crack initiation through multi-modal sensing fusion and a deep learning algorithm, the diagnosis accuracy is remarkably higher than that of a traditional offline detection method, and precious time is won for subsequent repair.