64 results about "Strain response" patented technology

The invention discloses a six-dimensional force sensor dynamic decoupling and coupling processing method, and relates to the technical field of mechanical measurement sensing detection, and the method comprises the steps: building a dynamic decoupling relation of six-dimensional mechanical component and elastomer strain response coupling mapping based on an original voltage signal and a static calibration parameter of a six-dimensional force sensor; dynamically modulating the mechanical compensation factor of the dynamic decoupling relation through the environmental influence factor; according to the modulated mechanical compensation factor, performing real-time suppression and compensation on coupling deviation caused by environmental disturbance, and outputting a six-dimensional mechanical component subjected to environmental compensation; performing high-precision decoupling processing on the six-dimensional mechanical component subjected to environment compensation to generate a corrected six-dimensional mechanical component; performing closed-loop online updating on the mechanical compensation factor of the dynamic decoupling relation by using the corrected six-dimensional mechanical component; according to the invention, the coupling deviation caused by environmental disturbance is suppressed and compensated in real time, and the defects of the six-dimensional force sensor in the aspects of decoupling precision and measurement stability are improved.

The invention discloses a method for predicting mechanical properties of ultra-high performance concrete, particularly relates to the technical field of dynamic property analysis of building materials, and aims to solve the problem that sudden brittle failure of materials cannot be accurately predicted under impact and explosion loads in the conventional method. The method comprises the following steps: calculating a macroscopic stress-strain response based on a continuum mechanical equation by acquiring a material ratio parameter and a dynamic load condition; constructing topological features through the strain energy entropy change rate to locate a damage area; determining an interface debonding energy threshold value and a crack growth rate of the damaged area in combination with interface fracture mechanics; utilizing the law of conservation of energy to establish dynamic correlation between interface debonding energy and strain energy density; when the crack growth rate exceeds an interface debonding energy threshold value, correcting macroscopic response data of a sudden stress drop interval based on the dynamic association relationship; the cross-scale coupling of a microscopic damage mechanism and a macroscopic mechanical behavior is realized, and the prediction precision under a dynamic load is remarkably improved.

The invention provides an underwater vehicle measuring point layout optimization method and system, and belongs to the technical field of experimental measuring point layout optimization. Comprising the following steps: obtaining simulation data of an underwater vehicle structure through finite element simulation, and extracting strain data of a unit capable of arranging a strain gauge area according to actual engineering constraints; centroid coordinates of the units, sensitivity values of strain response values relative to working conditions and strain gradients are calculated by taking centroids of the units in the areas where the strain gauges can be arranged as nodes; mapping the strain response values of all the nodes to a unified interval to obtain a normalized strain response value; obtaining sensitivity coverage and strain gradient coverage, and calculating space coverage of all nodes; integrating the normalized strain response value, sensitivity coverage, strain gradient coverage and space coverage as optimization indexes, and performing optimization by adopting an improved discrete artificial bee colony algorithm; and a final layout scheme is decided by outputting the relationship between the number of the measuring points and the information amount.

The invention relates to a large-span bridge steel box girder fatigue damage local and overall collaborative evaluation method and system. Acquiring strain responses of a reference section and a test section of the steel box girder before and during traffic service based on a dynamic load test, defining and calculating a strain ratio and a rigidity ratio of each monitoring point, and diagnosing local crack positions of the steel box girder by utilizing statistical characteristics of the strain ratios; establishing a mapping relation between the rigidity ratio and local damage such as crack length, expansion rate and tip position, and proposing a fatigue crack safety coefficient to realize collaborative quantitative characterization of local damage and overall safety; and constructing a genetic algorithm to optimize a support vector machine model, and developing a real-time evaluation system which takes the real bridge strain response as input and takes the local crack damage type and the overall safety level of the steel box girder as output. The defect that local damage diagnosis and overall performance evaluation of the steel box girder are mutually separated in a traditional method is overcome, and real-time diagnosis and safety evaluation of fatigue damage of the large-span bridge can be synchronously achieved.

The invention relates to the field of urban rail transit engineering and structural dynamics, and provides an interlayer and strain rate coupled subway tunnel lining dynamic mechanical property evaluation method and system, and the method comprises the following steps: 1, preparing an interlayer-containing cement-based cylindrical sample; step 2, applying strain rate loading, and collecting original data; step 3, reconstructing stress-strain response, and performing criterion of stress balance and constant strain rate; 4, acquiring the energy absorption rate, the dynamic compressive strength and the yield inflection point strain, and recording the failure form type; 5, establishing a statistical damage model and inverting model parameters; step 6, extracting an initial damage coefficient and a damage rate, and establishing an empirical regression formula; and step 7, constructing an evaluation index set, performing grading evaluation, and outputting material optimization and process suggestions. According to the scheme, the design, checking calculation and rapid evaluation capabilities of the subway tunnel lining under high strain rate working conditions such as impact or explosion are remarkably improved.

The application discloses a device and method for simulating the quick strain failure behavior of a nuclear fuel cladding, which comprises a support structure composed of a rack moving base and a hoisting device, a load loading system composed of a fixing frame, a powerful electromagnet, a limiting device, a counterweight and a guide column, and a test and measurement system composed of a punch, a plunger, a guide sleeve, a piston cylinder, a cylinder body, a hydraulic oil chamber, a pressure sensor, a driving pipe mounting flange, a locking nut, a driving pipe, a cladding pipe and a data acquisition device; the application provides a test method matched with the device; the application can realize the simulation of the quick strain failure behavior of the nuclear fuel cladding under the plane strain stress condition in the millisecond scale, can accurately record the internal pressure and strain response relationship of the cladding under the quick strain condition, and thus realizes the evaluation of the quick strain failure performance of the cladding.

This invention relates to the field of optical cable testing technology, and in particular to a testing device and method for testing the coupling performance of optical cables with soil. Regarding the testing device, a relative-slip test chamber is used to accommodate a soil sample; a vertical loading mechanism is used to apply a vertical load to the soil sample within the relative-slip test chamber; a transverse loading assembly is used to apply a transverse load to the test chamber assembly; the test optical cable is inserted inside the relative-slip test chamber and is wrapped by the soil sample; the optical cable tensioning mechanism and the optical cable fixing fixture work together to apply pre-tension stress to the test optical cable, maintaining deformation coupling with the soil sample. During the test, real-time deformation data of the soil sample and strain response data of the test optical cable are simultaneously acquired, comprehensively recording the mechanical changes throughout the entire process from elastic coupling and micro-slippage to debonding failure between the test optical cable and the soil sample, thereby achieving multi-dimensional, full-process quantitative testing of the coupling performance between the optical cable and soil.

The invention provides a steel bifurcated pipe welding residual stress detection system and method based on water pressure loading, and relates to the technical field of residual stress detection. Determining a stress correction coefficient on the detection mark point in the pressure maintaining stage, determining a spatial displacement of the detection mark point under the corresponding pressure according to all the stress correction coefficients and the stress distribution coordinates, and determining a strain detection value under each pressure according to the spatial displacement under the corresponding pressure; judging a strain response relationship when all the spatial displacements change along with the water pressure, and determining a residual compensation value after complete pressure relief based on corresponding deformation difference characteristics; and evaluating the residual stress distribution grade of the steel branch pipe welding area according to the strain detection value under each pressure and the residual compensation value after complete pressure relief. According to the method, the residual stress of the welding area of the steel branch pipe can be accurately detected under step-by-step water pressure loading circulation, so that the accuracy of residual stress distribution grade evaluation is improved.

The application discloses a kind of deformation monitoring method and device of two-way large-span space combined steel net rack, it is related to structural monitoring technical field, the method includes: obtaining the basic structure data and environmental action parameter of steel net rack, constructs combined steel net rack twin model, simulates stress-strain response under two-way load coupling.Identify abnormal deformation characteristics and generate deformation correction coefficient.Based on correction coefficient adjustment model boundary condition, iterative optimization dynamic monitoring threshold, establish hierarchical early warning mechanism, realize the structure health of steel net rack reminds.Solve the technical problems that the precision of existing large-span steel net rack deformation monitoring method is limited under complex environment coupling load, dynamic threshold poor adaptability, by constructing twin model and dynamic monitoring area division, combined with multi-source sensor data fusion and iterative optimization algorithm, reach the stress-strain response high-precision real-time monitoring under two-way load coupling, realize the technical effect of dynamic threshold hierarchical early warning.

The application relates to a kind of methods for establishing elastic-plastic constitutive model based on neutral loading of granular material, comprising: using discrete element stress probing test to analyze the incremental stress-strain response of granular material under neutral loading condition;According to the strain response envelope of different states, under the framework of critical state theory, the plastic flow direction, plastic modulus and shear dilatancy coefficient suitable for the neutral loading condition are derived, and the constitutive model is constructed;The predictive ability of the constitutive model constructed under the neutral loading condition is verified by simulating stress probing test and principal stress axis rotation test.The beneficial effects of the application are that the application can accurately predict the plastic strain, shear dilatancy coefficient and plastic flow direction of granular material under the neutral loading condition, and solve the problem of inaccurate prediction of traditional models under the neutral loading condition.

According to the multi-platform stress-strain performance evaluation method of the self-similar lattice metamaterial, the analysis model from a single platform to multiple platforms is constructed, and finite element simulation and experimental verification are combined, so that stress-strain response characteristics of multiple platform stages of different self-similar order lattice metamaterials can be effectively predicted and revealed; and high-precision prediction of the elastic modulus and the platform stress of the self-similar lattice metamaterial is realized. In this way, the blank of multi-platform stress-strain performance theoretical evaluation of the current self-similar lattice metamaterial is filled, and a reliable theoretical basis is provided for customized design and performance optimization of the self-similar lattice metamaterial in the fields of aerospace, intelligent equipment, biomedicine and the like.

This invention discloses a method, device, equipment, and storage medium for identifying abnormal states of light rail bridges. The method includes the following steps: for bridges with the same structural form and span arrangement, monitoring data of each measuring point on the bridge is acquired based on dynamic strain measuring points set at the same control section and spatial location on the bridge; based on the monitoring data, the dynamic strain response when the first train crosses the bridge is determined, and the dynamic strain influence line of the first train crossing the bridge is obtained through the dynamic strain response; based on the dynamic strain influence line, it is determined whether there is an abnormality in the light rail bridge. This application can effectively determine the abnormal state of light rail bridges when trains pass over them, solving the problem of abnormal diagnosis of light rail bridges in actual operation. At the same time, by judging the abnormal state of light rail bridges, the structural safety and health monitoring of light rail bridges is realized, ensuring the smooth operation of the line.

The invention relates to a method for constructing a constitutive model of a marine metallurgy composite pipe material. The method comprises the following steps: S1, acquiring parameters; s2, constructing a model; and S3, outputting the model. The method can avoid dependence on complex finite element simulation or is only suitable for an empirical model of a specific material combination, and is especially suitable for a composite pipe material of which a base layer and a coating layer have no yield platform; the complete stress-strain response of the metallurgical composite pipe under different material combinations and composite proportions can be efficiently and accurately described only by inputting conventional mechanical property parameters, so that a theoretical basis and a practical tool are provided for design, safety evaluation and engineering application of the composite pipe structure.

This invention discloses a corrosion prediction method based on the inverse finite element method and machine learning, belonging to the field of online assessment technology for marine engineering structures. The method includes: constructing a baseline state prediction model based on uncorroded strain response data; constructing a corrosion depth prediction model based on corrosion strain response data using the inverse finite element method and machine learning; real-time acquisition of the current measured strain data of the structure under the current corrosion state, and reconstructing the full-field corrosion strain field of the structure using the inverse finite element method; based on the baseline state prediction model and the full-field corrosion strain field, reconstructing the uncorroded full-field strain field of the structure using the inverse finite element method based on the current measured strain data, calculating damage parameters, and identifying corrosion regions; extracting damage parameters within the corrosion regions, inputting them into the corrosion depth prediction model, and outputting a quantitative predicted corrosion depth value for the corrosion regions. This invention achieves online automatic identification, precise location, and quantitative prediction of structural corrosion damage.

This invention relates to the field of engineering life prediction technology, and particularly to a method and equipment for determining fatigue damage in corrugated steel web composite box girders. The invention acquires strain at local locations on the corrugated steel web using strain gauges, constructs strain response curves, determines the strain-transmitted damage characterization vector by comparing the vector directions of the crack propagation tendency characterization vector, and obtains several load output explicit cycle numbers by comparing and analyzing the strain response curves corresponding to local webs with each explicit tendency with a strain response reference curve. Finally, the maximum load-bearing cycle number of the test beam is determined and recorded. This invention implements the above steps by setting up a test bench, measurement module, feature analysis module, feature extraction module, and recording module. Furthermore, it achieves the correlation between the multi-directional geometric features of the corrugated steel web and the strain response differences in different damaged areas, accurately determining the maximum load-bearing cycle number and improving the accuracy of fatigue damage assessment.

The application discloses a gear shot residual stress prediction method and system coupling plasticity and friction heat generation, equipment and medium, the method obtains the elastic tangential displacement corresponding to the elastic deformation stage of the single particle shot on the target gear tooth surface, the plastic tangential displacement corresponding to the plastic deformation stage, the stress-strain response curve generated in the process of the single particle shot impacting the target gear tooth surface, and the mass of the impact affected area of the target gear tooth surface based on the first model; according to the elastic tangential displacement, the plastic tangential displacement and the stress-strain response curve, the total heat in the process of the single particle shot impacting the target gear tooth surface is calculated; the gear tooth temperature field is calculated according to the total heat and the mass of the impact affected area of the target gear tooth surface; the gear tooth temperature field is coupled to the second model to calculate the residual stress of the target gear tooth surface according to the simulation result of the second model, the prediction accuracy of the gear shot residual stress can be improved by calculating and coupling the gear tooth temperature field.

The present application relates to the field of urban rail transit engineering and structural dynamics, and provides a sandwich and strain rate coupled subway tunnel lining dynamic mechanical property evaluation method and system, the method comprising the following steps: step 1, preparing a cement-based cylindrical sample containing a sandwich; step 2, applying a strain rate loading and collecting original data; step 3, reconstructing the stress-strain response and performing stress balance and constant strain rate criteria; step 4, obtaining energy absorption rate, dynamic compressive strength and yield inflection point strain, and recording the failure mode type; step 5, establishing a statistical damage model and inverting the model parameters; step 6, extracting the initial damage coefficient and damage rate, and establishing an empirical regression formula; step 7, constructing an evaluation index set, performing a grading evaluation, and outputting material optimization and process recommendations. The present scheme significantly improves the design, checking and rapid evaluation capability of subway tunnel lining under high strain rate conditions such as impact or explosion.

The embodiment of the invention discloses a rubber mount fatigue life prediction method and device based on a heat generation effect. A specific embodiment of the method comprises the following steps: generating a stress field, a strain field and deformation distribution of the rubber suspension structure under an actual working condition load according to obtained stress-strain response data; according to the stress field, the strain field and the deformation distribution, performing heat generation behavior analysis on the rubber material to generate transient temperature field distribution of the rubber suspension structure under the cyclic load; comparing the acquired temperature rise process data with the transient temperature field distribution to obtain a comparison result; and in response to determining that the comparison result represents that the comparison is consistent, applying the calibrated fatigue life prediction model to the finite element thermal analysis model so as to predict the fatigue life distribution of the rubber suspension structure under the preset load. According to the embodiment, the fatigue life of the rubber mount under the complex thermal mechanical load can be accurately predicted.

The invention provides a method for analyzing the influence of surface deformation caused by a carbon sequestration project on a shaft, and relates to the technical field of carbon sequestration, and the method comprises the steps: obtaining geological parameters of a sequestration region of the carbon sequestration project, and obtaining structure parameters of a shaft to be analyzed in the sequestration region; constructing a three-dimensional finite element model corresponding to the shaft through finite element analysis software based on the geological parameters and the structural parameters; acquiring earth surface deformation parameters of the sealing region from carbon dioxide sealing, and simulating in the three-dimensional finite element model according to the earth surface deformation parameters to obtain stress and strain distribution of the shaft under the action of earth surface deformation; and determining an influence analysis result of surface deformation caused by the carbon sequestration project on the shaft according to the stress and strain distribution. According to the method, the geological parameters of the storage area and the structural parameters of the shaft are comprehensively obtained, and the stress and strain response of the shaft under the geological change effect can be accurately simulated in combination with construction of the finite element analysis model.

The present disclosure relates to a bridge sensor optimization layout and response reconstruction method, system and medium, relating to the field of bridges. The method comprises: establishing a finite element model of the bridge; deleting measurement points in the initial sensor layout scheme; calculating load transverse influence lines using the bridge finite element model, reconstructing strain response data of the deleted transverse strain measurement points; reconstructing displacement data of the deleted displacement measurement points and / or acceleration data of the acceleration measurement points based on the relationship between displacement and acceleration; reconstructing strain response data of the deleted longitudinal strain measurement points based on the relationship between strain and displacement, using sensor data of the retained longitudinal strain measurement points and using data of the longitudinal displacement measurement points; constructing the architecture of the BiLSTM neural network model; all sensor data and all reconstructed data are input into the network model, and the network model is used to predict the data of the deleted measurement points. The present disclosure realizes the optimization of the sensor layout while improving the reconstruction accuracy.

The invention provides a multi-parameter online stress-strain measurement method and device, and the method comprises the steps: monitoring an actual strain vector of a specified section of a target component through a strain gauge sensing array in a loading process of the target component; according to the mapping relation between the strain vector and the stress vector, the actual strain vector is converted into the actual stress vector of the specified section stress point; comparing the actual stress vector with a target stress vector of a specified section stress point to obtain a stress deviation vector, and performing optimization solution on the load capacity of each actuator by using a load-strain response model to obtain the load correction of each actuator; and sending each load correction to a controller of the corresponding actuator, and carrying out multi-cycle coordination adjustment on the output force of each actuator, so that the actual stress distribution of the specified section of the target component dynamically tracks the preset target stress distribution. Based on the scheme, multi-cycle stress tracking control in load-strain response modeling can be realized.

The application belongs to the technical field of material modeling and simulation, and discloses a method and device for identifying J-C constitutive parameters of manganese aluminum bronze, which comprises the following steps: obtaining the real stress-strain curve of the material through a quasi-static compression experiment, and performing a thermal-mechanical coupling compression experiment under different temperature and strain rate conditions, extracting the stress-strain response under the corresponding state, and estimating the initial parameter set of the model; then constructing stress-strain response verification data through the thermal-mechanical coupling compression experiment; constructing a parameter optimization space based on the initial parameter set, and performing iterative optimization based on the fusion optimization algorithm of the genetic algorithm, the grey wolf algorithm and the particle swarm algorithm; the fitness function is weighted based on variable weights on the basis of the average relative error of the experimental data curve and the fitted data curve, wherein the variable weight is determined according to the fitting deviation at the yield point and the plastic section. The J-C constitutive model obtained by the application can accurately simulate the mechanical behavior of manganese aluminum bronze.

The invention discloses an energetic material impact crushing particle size distribution prediction method based on dynamic mechanical properties, and belongs to the technical field of energetic structure materials. The implementation method comprises the following steps: preparing a sample; performing dynamic mechanical property test on the sample to obtain a force-displacement or stress-strain response curve, and further extracting a fracture strain parameter and a maximum stress parameter; obtaining fracture energy according to the fracture strain parameter and the maximum stress parameter; carrying out high-speed impact experiment and product recovery, and grading chippings by adopting a standard screening method to obtain accumulated mass distribution; based on a Grady crushing criterion and a statistical crushing theory, establishing a quantitative relation between fracture energy and accumulated mass distribution after crushing; and inputting the dynamic mechanical parameters of the material and the calculated fracture energy into the model by utilizing a quantitative relationship, predicting a particle crushing size distribution curve under an ultimate impact load which is difficult to realize under a higher impact speed or an experiment condition, and realizing quantitative evaluation and overpressure response prediction of the material crushing behavior under an extreme impact condition.

This invention discloses an overload prevention control method and system for telescopic boom cranes based on boom strain, relating to the crane-related field. The method includes: arranging strain acquisition units along the length and circumference of multiple boom sections to acquire multi-dimensional strain data and construct a spatial strain distribution field; analyzing the consistency of strain response to identify local abnormal regions and determine the structural stiffness degradation state; extracting asymmetric strain components on the boom cross-section to construct force flow offset characterization parameters; performing time-series evolution analysis to obtain basic strain components and additional load components, and inverting the equivalent load and its application position on the boom; performing a prediction of the boom's true load-bearing capacity; and optimizing the control strategy based on safety constraints configured according to the prediction results. This application solves the problems of existing boom overload prevention control systems, such as inability to adapt to structural changes, incomplete monitoring, and difficulty in responding to overload risks. It achieves accurate adaptation to boom structural changes, comprehensive monitoring of the stress state, and effective response to overload risks.

A biomechanically realistic brain model for impact testing comprises white matter simulant materials and gray matter simulant materials positioned to correspond with anatomical brain structure. The white matter simulant comprises anisotropic hydrogels with embedded magnetically-responsive, electrically-responsive, thermally-responsive, and / or mechanically-responsive particles that exhibit directionally-dependent stress-strain responses. The gray matter simulant comprises isotropic hydrogels or silicones, particularly siloxanes, that exhibit uniform stress-strain responses to applied forces. The materials are cast, injected, printed, or formed in anatomically correct positions and share realistic interfaces. The brain model accurately imitates physical brain responses during impact tests, particularly angular impacts, providing realistic testing results for biomechanical analysis.

This application provides a design method for a health monitoring demonstration and verification platform based on a scaled-down structural test specimen, belonging to the field of aircraft health monitoring technology. The method includes: constructing a scaled-down structural test specimen with the same structural characteristics as a typical aircraft; constructing a support device and a loading device; determining the load conditions; identifying key components in the typical aircraft structure that are sensitive to changes in load magnitude and location, and setting strain sensors at these key components to monitor structural strain, thereby forming monitoring points; conducting loading tests on the scaled-down structural test specimen based on the load conditions, obtaining the strain and load at the monitoring points of the key components, constructing a mapping relationship between strain and load, and obtaining a structural load inversion prediction model; applying arbitrary loads to the scaled-down structural test specimen, and based on the strain response at the monitoring points and the current load value predicted by the structural load inversion model, if the error between the predicted current load value and the theoretical value under different load conditions is less than a threshold, then the platform design is completed.

The present application relates to a kind of building structure health state evaluation method and device, belong to building reconstruction technical field, method includes the stress part of target building under the action of natural load or artificial excitation, original stress time series data is generated from dynamic strain response, and original stress time series data is marked with building health state category, obtain multi-dimensional marked vector with time stamp;Based on the hierarchical coding architecture of space-time feature decoupling, obtain health state evaluation model, and based on clean stress time series data as marked sample data, and health state evaluation model is trained in combination with unmarked sample data, obtain target health state evaluation model;Based on target health state evaluation model, the stress data of target building collected is analyzed, and the building structure health state of target building is determined, it is favorable to improve the accuracy, continuity and prewarning of building structure health state evaluation.

The invention discloses a fitting method for stress-strain response of a high-elongation steel cord and application of the fitting method. The fitting method comprises the steps that stress-strain data points are obtained; the number N of turning points is determined based on a local curvature mutation detection method, the fitting curve is divided into N + 1 fitting line segments, a starting point is an original point when the first fitting line segment is drawn, and the starting point is located in data points with curvature mutation when other fitting line segments are drawn; the optimal slope of each fitting line segment, which maximizes the value, can be calculated by performing derivation on a formula for determining the coefficient about the slope, and a ray is drawn according to the calculated optimal slope of each fitting line segment, so that the fitting line segment of the stress-strain response of the high-elongation steel cord is obtained. According to the method, the number of turning points is determined based on a curvature mutation detection mode by utilizing the switching characteristics of a multi-segment linear function and a max function, the optimal slope is calculated through a formula, local high-precision fitting of each segment and corresponding experimental data is ensured, and the overall goodness of fit is greatly improved.

This invention provides a method for testing the roller tilt angle distribution of a double-row tapered roller bearing. First, a calibration experiment is performed. At least three strain gauges are arranged equidistantly on the outer surface of the bearing outer ring corresponding to each roller in the load-bearing area. By loading a single roller, the strain response of all strain measurement points on the outer ring corresponding to each roller in the load-bearing area of ​​the test bearing is obtained. This allows for the determination of the load measurement point positions unaffected by roller tilt under different tilt directions, as well as the corresponding load transfer coefficient and roller tilt angle calibration coefficient. Then, the strain measurement points of the test bearing are rearranged. The newly arranged test bearing and test bearing housing are installed at the work site. Combined with the calibration results, the roller tilt angle distribution of the bearing in its in-situ state can be calculated. This invention uses smaller strain gauges, making installation in practical environments more convenient and allowing for easier tilt angle distribution testing. This invention can be directly installed at the work site after calibration on a simple test bench, thus having wider applicability. This invention can monitor the roller tilt state of the load-bearing area of ​​the rolling bearing online in real time.

The application discloses a gear shot residual stress prediction method and system coupling plasticity and friction heat generation, equipment and medium, the method obtains the elastic tangential displacement corresponding to the elastic deformation stage of the single particle shot on the target gear tooth surface, the plastic tangential displacement corresponding to the plastic deformation stage, the stress-strain response curve generated in the process of the single particle shot impacting the target gear tooth surface, and the mass of the impact affected area of the target gear tooth surface based on the first model; according to the elastic tangential displacement, the plastic tangential displacement and the stress-strain response curve, the total heat in the process of the single particle shot impacting the target gear tooth surface is calculated; the gear tooth temperature field is calculated according to the total heat and the mass of the impact affected area of the target gear tooth surface; the gear tooth temperature field is coupled to the second model to calculate the residual stress of the target gear tooth surface according to the simulation result of the second model, the prediction accuracy of the gear shot residual stress can be improved by calculating and coupling the gear tooth temperature field.