861 results about "Stress field" patented technology

The invention discloses a tunnel blasting simulation method and system for a karst area, and relates to the field of tunnel blasting simulation, and the method comprises the steps: building a three-dimensional geologic model of the karst area, and generating an initial ground stress distribution rule through numerical simulation; generating refined initial crustal stress field data; calculating stress wave intensity and time sequence data generated by explosion; acquiring stress wave propagation data; calculating the surrounding rock damage degree and the crack initial position and direction; simulating the surrounding rock crack propagation process, and calculating the penetration probability and the propagation speed of the crack near the karst cave in combination with the karst cave characteristic parameters; analyzing the surrounding rock stability and damage evolution trend of the karst cave area; and optimizing explosive source item parameters and stress wave propagation boundary conditions, and generating a karst area tunnel blasting simulation result. According to the method, the influence of the karst cave on stress wave propagation is accurately simulated, powerful support is provided for optimizing a blasting scheme and improving construction safety and efficiency, and the method has important guiding significance on tunnel engineering under complex geological conditions.

The invention discloses a fluid-solid coupling numerical simulation method and device based on an embedded discrete fracture model. A structured grid is adopted to divide a reservoir matrix, and a discrete fracture model is embedded to construct an oil and gas reservoir geological grid. Establishing a transmission function, and formulating a porous medium fluid seepage control equation according to the transmission function. The equation is solved at each time node, a pore pressure field is obtained, and an equivalent pore pressure field is obtained through weighted averaging and serves as a boundary condition of the solid mechanical control equation. Expanding an oil and gas reservoir geological grid model, combining a crack-rock constitutive model, an effective stress principle and a stress balance equation, constructing a solid mechanical control equation, and solving and simulating rock deformation by adopting a finite element method and a Newton-Rafson method. Based on the constitutive relation of the composite material, matrix and crack seepage attributes are updated, the interaction between a seepage field and a stress field is considered in an iterative coupling mode, and multi-field coupling simulation is achieved. The problem that an existing method cannot be applied to a real oil and gas reservoir is solved.

A method for quality inspection of an etching paste material based on a spectral response difference, including: identifying a position of density mutation boundary through spectral collection and density gradient analysis. Applying a specific frequency beam to obtain the resonance response parameter, generating stress field reconstruction data. Performing a reverse optical tracking to obtain a defect formation path, generating degradation prediction data. Establishing a self-organizing optical monitoring grid, to form a hierarchical spectral fingerprint library. Constructing a multi-point linked defect blocking network, to form an interconnected optical energy field. Monitoring a cooperative response to obtain network stability data, Identifying abnormal position coordinates based on a material quality grade and the network stability data, obtaining the abnormal position coordinates. Performing a phase adjustment to obtain a phase difference spectral set, conducting a phase comparison marking on the abnormal position coordinates, completing the quality inspection of the etching paste material.

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 discloses a powder metallurgy gear hardness detection method and system, and belongs to the technical field of metallurgy gears, and the method comprises the steps: obtaining a to-be-detected gear three-dimensional model, and dividing a hardness evaluation region; a thermal response image is collected, a thermal response time gradient parameter TRTG is extracted, and a thermal diffusion characteristic matrix T is formed; establishing a hardness initial model H1 based on the TRTG and compactness; constructing a finite element stress field model, extracting a stress distribution modulation coefficient SDMC, and forming a stress characteristic matrix S; performing weighted correction on H1 based on T and S, and establishing a comprehensive hardness prediction model H2; outputting a hardness prediction result of the whole gear and the key area, and identifying a potential weak area; according to the method, thermal response and stress modulation parameters are fused, non-destructive and high-resolution hardness distribution prediction is achieved, and the method is suitable for quality evaluation and failure early warning of the powder metallurgy gear of a complex structure.

The invention relates to the technical field of material testing, and discloses a coating performance simulation method based on high and low temperature circulation and prestress loading. The method comprises the following steps: constructing a coating matrix composite geometric model containing a microporous structure by acquiring actually measured working condition data of a pipeline or a part, and quantifying surface roughness and interface curvature characteristics in combination with reverse engineering; a dynamic temperature-pressure coupling equation is generated based on the thermal expansion effect of a high-pressure medium, a micropore optical load is converted into equivalent heat flux density through a ray tracing algorithm, transient boundary conditions of a temperature field and a stress field are associated, a crack initiation path is simulated through an extended finite element method, and a life attenuation curve is predicted in combination with a Paris formula. And material parameters are dynamically corrected based on experimental data, and a multi-parameter collaborative optimization model is generated. According to the method, the problems of interface stress evaluation distortion and life prediction deviation under the combined load are solved, and multi-physics field co-simulation support is provided for coating compression resistance optimization.

The invention relates to the field of oil and gas field exploration and development, in particular to an oil and gas reservoir four-dimensional stress field quantitative prediction and integrated modeling method. Establishing finite element geological geometric models in different periods by recovering a paleostructure form in a key structure transformation period; predicting three-dimensional distribution of rock mechanics parameters by combining a rock mechanics experiment and adopting a well-seismic combination method; burial depth changes of rocks in different periods are determined through ancient and modern structure fusion, three-dimensional distribution of mechanical parameters of the ancient rocks is predicted, geomechanical heterogeneous models of oil and gas reservoirs in different periods are established, and numerical simulation of four-dimensional stress fields in different periods is achieved; and a multi-period stress unit cyclic coupling algorithm is adopted to realize coupling of multi-period stress field prediction data into one model. The invention provides a quantitative prediction and integrated modeling method for a four-dimensional stress field of an oil and gas reservoir. The method has practical significance in multiple aspects of ancient stress field numerical simulation, tectonic fracture distribution prediction, 'geology and engineering dessert 'evaluation and the like.

The invention provides a metal material surface difference analysis method which comprises the following steps: calculating Gibbs free energy at different temperatures by adopting a thermodynamic model according to chemical components and an initial microstructure of a material, and drawing a time-temperature-transformation curve of the material through phase diagram analysis software, obtaining a grain growth kinetic parameter and a recrystallization temperature interval; inputting data information of strength, hardness and toughness in different application scenes by utilizing the established multi-objective optimization model, and searching optimal grain size distribution through a genetic algorithm to obtain an optimal microstructure for balancing various performance indexes; according to the optimal microstructure, a heat treatment process route is reversely designed, finite element software is adopted to simulate temperature field and stress field distribution in the heat treatment process, and control parameters of heating, heat preservation and cooling are determined through iterative optimization.

The invention provides a multi-physics field cooperative regulation and control method in coal mine rock burst prevention and control, and relates to the technical field of coal mine rock burst prevention and control, and the method comprises the steps: synchronously collecting stress field, fracture field and vibration wave field data in real time through a distributed optical fiber sensor network and a micro-seismic monitoring system, and constructing a dynamically updated three-dimensional geomechanical model; based on an adaptive Kalman filtering algorithm, noise reduction multi-source data are fused, a dynamic stress concentration factor and an energy accumulation critical index are extracted, and a rock burst risk probability model is established; a multi-objective optimization algorithm is adopted to generate graded regulation and control instructions of grouting reinforcement, mining speed adjustment and pressure relief drilling, and the graded regulation and control instructions are executed in real time; and iteratively optimizing the model weight by using a transfer learning algorithm in combination with a historical case library to form a closed-loop feedback adaptive prevention and control system. According to the method, the analysis precision of rock mass fracture evolution under complex geological conditions is improved through multi-physics field collaborative perception and dynamic modeling, and risk quantification and real-time regulation and control are realized through multi-algorithm coupling analysis.

The invention discloses a casting detection method and system based on machine vision, and relates to the technical field of intersection of machine vision and material science, and the method comprises the steps: extracting the boundary coordinates of a region with a risk value exceeding a risk threshold according to a defect risk weight map, and forming a dynamic region of interest scanning frame; adjusting the incident angle of a polarized light source according to the track of the dynamic attention area scanning frame, collecting a local image, and obtaining a high-contrast image sequence for eliminating the interference of a surface oxide layer; extracting a defect edge feature map from the high-contrast image sequence through a deformable convolution kernel, and obtaining a defect candidate region mask; the defect candidate region mask is mapped to a von Mises stress field, and a crack germination probability is predicted in combination with a material fatigue limit parameter. According to the method, the accuracy and reliability of detection are improved, and the applicability under complex working conditions is remarkably improved, so that the casting quality control level is effectively improved, and the repair and quality control cost is reduced.

The invention discloses a coal and rock mass fracture seismic source and stress field joint inversion method and system, and the method comprises the following steps: arranging a multi-channel sonic sensor in a coal and rock mass, and collecting original acoustic emission / microseismic signal data; the head wave arrival time / amplitude of the filtered effective waveform data is automatically picked up through an improved AIC (Akaike Information Code), quantitative evaluation is carried out on the quality of a picked-up result, and high-precision positioning is carried out on waveform signals with a high signal-to-noise ratio and a low signal-to-noise ratio; constructing a tension fracture seismic source model based on a displacement discontinuous tensor, obtaining a moment tensor component of a fracture event, and calculating to obtain a spatial orientation, a tension-shear attribute, a deviation angle alpha, energy release and a moment magnitude of the fracture; establishing a stress field inversion model of the tension-shear fracture seismic source, and realizing the inversion of the stress direction and size of the tension-shear fracture seismic source; and a slip direction included angle minimization objective function is established for iteration until convergence conditions are met, and joint iteration inversion of the fracture and the stress field is 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 discloses a method for determining the lower limit of plugging thickness of a silt rock stratum based on temperature-stress field simulation, which comprises the following steps: judging that the fracture pressure of a shale reservoir is less than the minimum starting pressure of an overlying silt rock stratum, and carrying out the following steps: wrapping the side surface of a roof rock sample with a heat insulation material; arranging heating and stress devices and temperature and strain sensors on the bottom surface of the rock sample, and arranging a plurality of strain sensors on the side surface of the rock sample at set intervals; heating the rock sample by using a heating device until the bottom temperature is the set temperature, applying stress to the bottom of the rock sample from small to large step by step by using a stress device until the set stress, stabilizing the temperature and the stress until the measured values of the sensors are stable, and determining the lowest position where the strain of the rock sample is not higher than the set strain according to the measured values of the sensors; determining the lower limit of top plate plugging thickness according to the distance from the position to the bottom surface; and similarly, determining the bottom plate plugging thickness lower limit. The method can reasonably quantify the lower limit of the plugging thickness of the top and bottom plates of the shale reservoir through joint simulation of the temperature field and the stress field.

The embodiment of the invention provides a blast hole layout method based on crack propagation characteristics under a coupling model, and relates to the field of blast hole position calculation and data processing. The method comprises the following steps: acquiring crustal stress data and rock mechanics data; coupling a stress field model by utilizing the explosion load, the crustal stress data and the rock mechanics data; acquiring blasting data under the stress of the infinitesimal point by utilizing the stress field model, wherein the blasting data comprises the radius of a crushing area and the radius of a fracture area of the rock; based on the blasting data, utilizing MATLAB to predict a crack propagation path under the stress of the infinitesimal point; and obtaining an optimized blast hole arrangement diagram by utilizing the crack propagation path. According to the scheme provided by the invention, the blasting effect can be predicted more accurately by accurately calculating, simulating and optimizing the blast hole arrangement diagram, so that unnecessary blast holes are reduced, and the efficiency of blasting operation is improved. The blast hole layout method based on the crack propagation characteristic can better control the damage range of the rock, the problem of excessive damage is avoided, and the stability of the rock around the tunnel is protected.

The invention discloses a concrete faced rockfill dam underwater crack behavior identification method comprising the following steps: obtaining original monitoring data and a concrete faced rockfill dam as-built drawing, and carrying out preprocessing; constructing a rock-fill penetration-mechanical coupling state model to obtain a state field and an uncertainty field; based on the state field and the as-built drawing, a panel deformation field and a stress field are obtained through panel deformation and stress analysis; the deformation field, the stress field and underwater detection data are utilized, and a crack behavior comprehensive report is obtained through crack feature extraction and visualization. According to the method, the penetration-mechanical coupling state index is introduced, the rock-fill state space partitioning is realized, the deformation field reconstruction accuracy is improved, and a scientific basis is provided for dam safety assessment.

The invention discloses a 3D printing path planning method based on electric arc additive anisotropy and a stress field, and the method comprises the steps: constructing a CAD three-dimensional model of a part, and obtaining the stress field of the part through finite element simulation; determining a slice plane; mapping the stress field to a slice plane to form a force flow line; according to the obtained force flow line, rotation transformation regeneration is carried out according to the anisotropy of the used electric arc additive, and a reference trajectory considering the anisotropy of the material is obtained; under the principle of alternate arc starting and extinguishing, the corresponding printing sequence in the layers and between the layers is further planned, and the reference trajectory lines are connected end to end to be planned into a continuous path; and generating a code file, and printing according to the printing sequence. The comprehensive mechanical property of a printed piece is improved.

The present invention discloses a method and apparatus for simulating thermal stress of a casting mold during a service process, and a storage medium. The method comprises: importing a pre-built three-dimensional geometric model of the casting mold, processing the geometric model, and then performing grid division to obtain a casting simulation finite element physical model; assigning material parameters, interface parameters, process parameters, and boundary conditions to the finite element physical model to obtain a casting simulation finite element calculation model; performing casting process simulation calculations to obtain casting simulation results such as mold temperature field and stress field, and exporting result data; interpolating a temperature-stress correction factor; multiplying all correction factor data under the same node numbers with mold stress data to obtain final thermal stress distribution data of the mold during the service process.

The invention discloses a three-dimensional finite element simulation method for a complex slope excavation unloading process, which comprises the following steps of: 1) constructing a three-dimensional model of a complex slope, and establishing a finite element grid; 2) inputting boundary conditions of the model and material parameter information of each stratum; 3) calculating and simulating an initial stress field of the slope before excavation; (4) according to the initial stress field, the unloading load of the slope excavation part is calculated; (5) finite element calculation is conducted on stress deformation of the excavated slope; according to the method, the high-precision three-dimensional finite element model is established, various material parameters and actual boundary conditions are combined, the stress change and the unloading effect of the slope in the excavation process are simulated, the stress redistribution in the unloading process is accurately reproduced, the prediction precision of local instability and stress concentration areas is improved, and the prediction accuracy of the slope is improved. Therefore, a scientific basis is provided for safety assessment of slope excavation.

The invention discloses a stamping die health state assessment method and system based on digital twinning, and relates to the technical field of die health state assessment, and the method comprises the following steps: a physical sensor network deployed on a stamping die collects die stamping process data in real time; constructing a finite element analysis simulation FEA model to simulate the working condition of the stamping die based on the geometric structure, the material attribute and the stamping process parameters of the die; according to the invention, the data of the die stamping process are collected in real time through the physical sensor network, and real-time calculation is carried out in combination with the finite element analysis simulation model, so that transient stress field, strain field and temperature field data of the die can be output in a short time, and real-time monitoring of the health state of the die is realized; by considering the degradation of the mold material performance along with the use time and the dynamic process of quantitative damage accumulation, the damage accumulation value is accurately calculated through the dynamic material performance database and the continuous damage mechanical model, and the accuracy of the evaluation result is improved.

The invention discloses an electric arc additive manufacturing temperature field and stress field real-time reconstruction method, which comprises the following steps of: 1, constructing a sequential coupling finite element model in which heat conduction analysis and thermoelastic-plastic mechanical analysis are combined on the basis of process parameters of an electric arc additive manufacturing process and three-dimensional geometry of parts, generating a multi-physical field coupling data set among heat flux density, temperature and stress; step 2, constructing and training a neural network model based on a multi-physics field coupling data set, and realizing mapping from heat flux density to temperature and stress; 3, dynamically optimizing heat source model parameters in combination with real-time monitoring data and process parameters in the electric arc additive manufacturing process; and 4, based on the optimized heat source model parameters and the trained neural network model, real-time reconstruction of a temperature field and a stress field in the electric arc additive manufacturing process is achieved. According to the invention, the requirements of rapid sensing and intelligent regulation and control of temperature and stress states on an additive manufacturing site are met.

The invention discloses a method for determining the plugging thickness of a complex lithologic layer based on simplified lithologic combination, and the method comprises the steps: determining the vertical superposition relation of a silty rock layer and a shale layer and the total thickness of the silty rock layer and the shale layer according to the lithologic longitudinal distribution characteristics of an overlying stratum; integrally forming and preparing a roof rock sample by combining the properties of siltstone and shale; arranging a plurality of groups of temperature sensors, pressure sensors and strain sensors on the side surface of the rock sample at set intervals; heating the rock sample until the bottom temperature is the set temperature, pressurizing until the bottom pressure is the set pressure, applying stress to the bottom of the rock sample step by step from small to large until the set stress, and stabilizing at the temperature, the pressure and the stress until the measured value of the sensor is stable; determining the lower limit of the roof plugging thickness according to the measured value of each sensor and the up-and-down superposition relationship; and similarly, determining the bottom plate plugging thickness lower limit. According to the method, through simplified lithology and combined simulation of a temperature field, a pressure field and a stress field, the lower limit of the plugging thickness of the shale reservoir complex lithology roof and floor is reasonably quantified.

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 a simulation method and system based on multi-field coupling and dynamic grid processing, and belongs to the field of computational simulation, and the method comprises the steps: building and solving a coupling physical field model: carrying out finite element spatial discretization on a solving domain, building and solving a coupling partial differential equation set which at least comprises a temperature field, a displacement field and a stress field, and carrying out the finite element spatial discretization; obtaining numerical solutions of the physical fields in the current state; carrying out progressive unit removal based on a physical criterion; and finally, grid data structure updating and solver synchronization are executed. According to the method, the metal material can be gradually removed when the physical quantity reaches the critical condition, and the grid change is dynamically and robustly processed in the process.

The invention discloses a three-dimensional crustal stress field visualization construction method under a complex geological structure condition, and relates to the technical field of crustal stress field analysis. Comprising the following steps: in a to-be-analyzed area, obtaining characteristic data such as density and Poisson ratio of a surface rock-soil layer, a sedimentary layer, a parent material layer and a bedrock layer through well drilling; applying seismic waves, acquiring longitudinal wave and transverse wave speeds of each rock-soil layer by using a geophone, and calculating a shear modulus and a bulk modulus; and establishing a finite element model to analyze the strain tensor under the load, and calculating the stress tensor in combination with the modulus. Calculating pore water pressure, and correcting the stress tensor to obtain effective stress. Fault feature information is obtained through a geological report, and the stress tensor is further corrected to obtain accurate and effective stress. And constructing a three-dimensional geologic model and dividing grids, mapping accurate and effective stress to each grid unit, and completing visual construction of the crustal stress field by utilizing visual software. Safety and economic benefits are effectively improved, and risks caused by geological factors are reduced.

The invention provides a residual stress prediction method considering ultrasonic peening process parameters of a welded joint, and the method specifically comprises the following steps: carrying out thermal-mechanical coupling simulation of a welded structure based on a finite element method, obtaining a residual stress field of the welded structure, taking the residual stress field as initial stress, and building an ultrasonic peening processing finite element model; on the basis of a hypercube Latin sampling method, a parameter combination sample is extracted, corresponding residual stress data after ultrasonic peening are obtained through simulation, and a residual stress prediction function model containing an undetermined coefficient is established with ultrasonic peening parameters as independent variables. And based on a particle swarm optimization algorithm, training to obtain an undetermined coefficient value which enables a prediction effect to be optimal, and completing establishment of a prediction function model. Therefore, the optimal process parameter combination of ultrasonic peening can be obtained so as to improve the mechanical property of a welded joint. According to the residual stress prediction method considering the ultrasonic impact process parameters of the welding joint, a basis is provided for improving the service performance of a large-scale thin-wall part welding structure.

The invention discloses a siltstone adjacent layer plugging thickness lower limit determination method of a shale reservoir, which comprises the following steps: judging that the fracture pressure of the shale reservoir is smaller than the minimum starting pressure of an overlying siltstone rock layer, and executing the following steps: arranging heating, pressurizing and stress devices and temperature, pressure and strain sensors on the bottom surface of a roof rock sample; multiple groups of pressure and strain sensors are arranged on the side surface at set intervals; a heating device is used for heating the bottom of a rock sample to a set temperature, a pressurizing device is used for pressurizing the bottom to a first set pressure, a stress device is used for applying stress to the bottom of the rock sample from small to large step by step to a first set stress, and the stress is stable until measured values of all sensors are stable; determining the lowest position where the rock sample pressure is not higher than the second set pressure and the strain is not higher than the set strain according to the measured value of the sensor; determining a roof plugging thickness lower limit; and similarly, determining the bottom plate plugging thickness lower limit. The method can reasonably quantify the lower limit of the top and bottom plate plugging thickness through temperature, pressure and stress field joint simulation.

The invention provides a method and a device for evaluating and measuring microscopic mechanical properties of TC4 alloy, relates to the technical field of microscopic mechanical properties, and realizes accurate evaluation of material properties through combination of multi-scale characterization and numerical simulation. Firstly, a standard sample is prepared through selective laser melting, and residual stress field distribution is obtained through X-ray diffraction; dividing a stress field into sub-regions, and establishing a quantitative relationship between microscopic structure parameters and residual stress by combining SEM and EBSD analysis; the method comprises the following steps: acquiring local mechanical properties through a nanoindentation test, and constructing a stress-performance correlation model; and finally, establishing a finite element model, transmitting stress and tissue parameters by adopting trilinear interpolation and an inverse distance weighting method, verifying data reliability through a stress difference criterion, and calculating mechanical properties of each unit. According to the method, multi-scale correlation from microstructure characteristics to macroscopic mechanical properties is innovatively realized, so that the mechanical property distribution of the material is accurately evaluated.

The invention discloses a PCB circuit microdefect real-time detection algorithm optimization method based on artificial intelligence, and relates to the field of printed circuit board monitoring, and the method comprises the steps: collecting multi-physical field data including a temperature field, a stress field, current density distribution and corrosion medium concentration in real time; generating time-space synchronous multi-modal fusion data; quantifying a thermal-mechanical-electric-chemical field interaction relationship through an inter-field coupling coefficient matrix; generating a four-dimensional synergistic effect matrix through tensor fusion; and based on the four-dimensional synergistic effect matrix, in combination with a spatio-temporal evolution diagram output by the carbonization path prediction model, establishing a three-dimensional mapping relationship among the crack size, the carbonization path and the material residual strength, and predicting a residual life prediction value. The method has the advantages that through real-time synchronous fusion of multi-physical field data and tensor coupling modeling, accurate tracking of a crack propagation path and dynamic evaluation of the residual life are achieved, the detection sensitivity is improved, and the life prediction error is reduced.

The invention provides a thermal-mechanical coupling simulation method for a robot-assisted curved surface laser metal deposition process, and belongs to the technical field of laser metal deposition. Calibrating the sectional dimension of the deposition channel; discretizing a continuous simulated deposition path into a plurality of sections, scanning on the curved surface substrate along the discrete path by using the calibrated deposition channel section to form a deposition layer body, and obtaining a geometric model containing the curved surface substrate and a deposition layer; meshing and optimizing the geometric model; setting material attributes, boundary conditions and laser paths of the substrate and the deposition layer, and pre-writing the material attributes in the deposition layer body and hiding the material attributes; and performing laser metal deposition simulation, synchronously activating the material attributes of the substrate and the deposition layer in the laser action area along with the movement of the laser action origin, and calculating to obtain an evolution result of the stress field and the temperature field. According to the method, the calculation precision and efficiency are comprehensively planned, the curved surface free path deposition process modeling is realized, and the evolution conditions of a stress field and a temperature field can be accurately predicted.

The invention discloses a landslide construction simulation method based on finite elements, particularly relates to the field of construction simulation, and realizes whole-process dynamic simulation through GTS-NX software. Firstly, a three-dimensional finite element model is established based on geological exploration data, a Mohr-Coulomb elastic-plastic constitutive model is adopted, and the bulk modulus and the shear modulus are calculated through the elastic modulus and the Poisson's ratio. The initial ground stress is simulated by adopting a self-weight stress field method, and the initial displacement influence is eliminated by adopting a displacement difference method. In construction process simulation, the unit passivation / activation technology is adopted to accurately reproduce the excavation and support time sequence, and cyclic calculation of excavation-stress release-support-balance is achieved. In nonlinear analysis, superposition of an elastic stress field and a plastic stress field is considered, and an unloading influence factor is introduced to correct anisotropy of a deformation modulus. A safety coefficient is calculated through a strength reduction method, a multi-working-condition evaluation system is established, a monitoring data fusion and parameter inversion mechanism is developed, and a three-level early warning system is formed.