340 results about "Finite element analysis software" patented technology

In the present invention, a location joint monitoring solution based on the state of a distributed optical fiber and based on an ultra-short baseline is used, and the solution consists of a distributed optical fiber monitoring device, an ultra-short baseline positioning device and a health monitoring host computer. The distributed optical fiber monitoring device consists of a distributed optical fiber cable (300), a distributed optical fiber demodulator (421), etc. The ultra-short baseline positioning device consists of an ultra-short baseline array (200), an underwater beacon (100), a signal processing device (411), etc. The health monitoring host computer (431) can perform signal conditioning, digital signal processing and parameter estimation by means of the signal processing device and the distributed optical fiber demodulator and by using acquired data such as key point locations, deformation and postures, and complete space curve reconstruction of an underwater riser by means of a space curve reconstruction algorithm and an existing finite element analysis software platform, thereby realizing visual outputs of an underwater state of a marine riser.

The invention discloses a biological material mechanical testing method and system based on finite element analysis, and is used for the technical field of data processing method.The biological material mechanical testing method comprises the following steps that a three-dimensional geometric model of a biological material is constructed, the three-dimensional geometric model of the biological material is imported into finite element analysis software, and the finite element analysis software is used for analyzing the three-dimensional geometric model of the biological material; grid division is executed, and material attributes and boundary conditions are set; finite element simulation is operated according to the set material attributes and boundary conditions, stress and strain distribution is analyzed, and grid division and the material attributes are adjusted based on the analysis result; and the adjusted grid division and material attributes are simulated again, a simulation result is verified through experimental data, and meanwhile material composition is adjusted based on the simulation result and a verification result. According to the method, each step can be completed according to preset time and quality standards, and deep understanding of the simulation process and prevention of potential problems are enhanced.

The invention discloses a method for online reconstruction of a temperature field of a cutting area of a temperature measurement end mill. The method comprises the following steps: constructing a milling cutter three-dimensional model; establishing a milling heat conduction model; finite element analysis software is used for conducting heat conduction positive problem simulation under different heat flow densities; extracting a temperature value of each node and calculating a temperature sensitivity coefficient; acquiring a temperature data sequence at the temperature measurement position; establishing and training a heat conduction inverse problem algorithm model; acquiring real-time temperature data and predicting heat flux density through a temperature measurement module; and on-line reconstruction of the temperature field of the cutting area is realized in combination with the temperature sensitivity coefficient and the predicted heat flux density. The method can monitor the cutting temperature in real time, optimize the machining parameters, prolong the service life of the cutter and improve the machining precision.

The invention relates to the technical field of ring piece rolling, and discloses a large special-shaped ring piece rolling forming process analysis method which comprises the following steps: (1) forge piece and blank design: designing different types of blanks; (2) material characteristic modeling: establishing a material model meeting rolling conditions; (3) finite element model establishment: establishing a geometric model of a rolling process by utilizing finite element analysis software; (4) rolling process scheme design: designing a plurality of rolling process schemes; (5) process simulation and defect prediction: analyzing strain, stress, temperature field and metal flow conditions in the simulated rolling process, and analyzing defect generation conditions; and (6) real-time monitoring and feedback control: monitoring changes of stress, strain and temperature in real time, and automatically adjusting process parameters. And through dynamic material characteristic modeling, a self-adaptive grid division technology and multi-physical field coupling analysis, the analysis accuracy of the rolling process is improved, so that defect prediction is more accurate, and the quality of finished products is improved.

The invention provides a boiler combustion state visualization method, which comprises the steps of embedding a plurality of thermocouple temperature sensors in gaps of refractory bricks on the inner wall of a boiler hearth, acquiring temperature data of the hearth at different depths in real time, and transmitting the temperature data to a data acquisition terminal through a wireless communication module; fitting the normalized temperature data matrix by adopting a three-dimensional thin-plate spline interpolation algorithm to generate a hearth three-dimensional real-time temperature distribution model, performing mesh generation on the three-dimensional temperature distribution model by combining hearth geometric structure parameters obtained from computer aided design software, and constructing a hearth temperature finite element model; the hearth temperature finite element model is imported into ANSYS finite element analysis software, hearth wall surface material attributes and combustion heat load boundary condition parameters are set, transient thermal analysis of a hearth temperature field is carried out, and a temperature estimation value of any position of the hearth changing along with time is obtained.

The invention provides a drawing simulation method for an anisotropic material, and belongs to the technical field of drawing simulation, and the drawing simulation method comprises the following steps: firstly, measuring a microstructure structure of the anisotropic material, and constructing a constitutive model of a dynamic self-adaptive material; importing the constitutive model into finite element analysis software to form a finite element model of multi-physical field interaction behaviors; importing the finite element model into an adaptive mesh generation algorithm to form a finite element simulation result; performing real-time analysis on a finite element simulation result by using a deep learning algorithm, and outputting an analysis report in a visual chart form; and the die fillet radius, the drawing gap, the blank holder force, the drawing speed, the friction coefficient and the electromagnetic regulation and control parameters are synergistically and dynamically optimized, and the lug rate of the cup-shaped part is obtained according to drawing simulation. According to the deep drawing simulation method for the anisotropic material, the convex lug rate of the cup-shaped part is obtained by constructing the constitutive model and forming the finite element result of the finite element model, so that the convex lug problem of deep drawing of the cup-shaped part is predicted.

The invention discloses a valve processing and manufacturing method based on digital twinning, which comprises the following steps: S1, constructing a valve digital twinning model, creating a valve geometric model by using three-dimensional modeling software, and endowing the valve geometric model with physical attributes and material characteristics through finite element analysis software, carrying out design optimization through fluid mechanics simulation and stress analysis; s2, establishing a processing technology digital twin model, performing digital modeling on the device, integrating processing technology parameters, and simulating a material processing process; s3, the machining process is monitored in real time, multiple types of sensors are deployed on machining equipment, and operation data of the machining equipment are collected in real time; s4, dynamic simulation and comparative analysis are conducted, specifically, the digital twin model dynamically simulates the actual machining process according to real-time collected data, and a simulation result and design requirements are compared and analyzed; and S5, feedback control optimization: when the processing deviation exceeds a preset threshold value, automatically generating a process parameter adjustment scheme and feeding back the process parameter adjustment scheme to a processing equipment control system.

The invention discloses a concrete cave wall design method and system under the gradient temperature difference effect and a medium. Relates to the technical field of wind tunnel construction. According to the scheme, a first wind tunnel concrete tunnel wall model is constructed in finite element analysis software based on a first basic boundary condition, grid division is carried out on the first wind tunnel concrete tunnel wall model, gradient temperature difference loads are applied to grids, and first tunnel wall stress is solved; the design control stress is obtained by superposing the first cavern wall stress applying the gradient temperature difference load and the second cavern wall stress applying the conventional load, and the cavern wall temperature differences of different areas are superposed into the design control stress, so that the performance of the large-scale concrete cavern wall structure in the gradient temperature difference environment is ensured; and meanwhile, the nonuniformity of stress distribution of the tunnel wall is also considered during reinforcement design, so that the performance and the safety of the large-scale concrete tunnel wall structure in a gradient temperature difference environment are ensured.

The present invention discloses a crystal plasticity finite element modeling simulation method, comprising the following steps: obtaining grain information based on EBSD analysis; importing the ctf format file generated by the EBSD analysis into Dream.3D software to realize automatic reconstruction of the grain structure, and outputting the input file and the geometric orientation data of each grain; then processing the grain geometric orientation data through a Python language script to obtain the average geometric orientation information of each grain; combining the average geometric orientation information of the grain with the input file using a Python script to generate a complete input file with geometric model information and material property information; assigning boundary conditions to the model in ABAQUS finite element analysis software and setting its constitutive relationship using the UMAT subroutine, thereby realizing the entire crystal plasticity finite element analysis process. The present invention realizes the process of crystal plasticity finite element modeling and simulation analysis.

The invention relates to a hypertrophic obstructive cardiomyopathy virtual resection operation curative effect evaluation method based on individualized computational fluid mechanics, which can give visual postoperative hemodynamic indexes, predict postoperative curative effects, find an optimal resection scheme and realize preoperative accurate intelligent evaluation. Comprising the following steps of: acquiring coronary artery enhanced computed tomography image data, acquiring a coronary artery enhanced computed tomography image of a patient, and outputting and storing the coronary artery enhanced computed tomography image in a DICOM (Digital Imaging and Communications in Medicine) format; preprocessing image data, and segmenting and reconstructing a left ventricle-outflow tract structure three-dimensional model; setting a virtual excision scheme at the fleshy part; constructing a surgical resection model, and importing the model into finite element analysis software for solving; and the virtual postoperative curative effect is visualized. Verification and curative effect prediction of a patient excision scheme can be realized, and the operation success rate of a hypertrophic obstructive cardiomyopathy patient is improved.

The invention relates to the technical field of engineering mechanical structure optimization, in particular to an excavator structure topological optimization method and system based on real-time stress field reconstruction. The method comprises the following steps of: designing finite element analysis software, modeling and simulating in the finite element analysis software to obtain virtual data, designing a Kalman filter to carry out error correction on the virtual data and actual test data, training the Kalman filter by utilizing the corrected data to obtain prediction of real-time stress field distribution, and further, establishing a topological optimization model of an excavator structure, according to the method, material attributes are coded into a weight matrix in a neural network, and a stress constraint partial differential equation is used as a constraint condition, so that high-precision reconstruction of the stress field of the movable arm of the excavator under an actual working condition is realized, and an accurate boundary condition is provided for topological optimization.

The invention relates to the technical field of vehicle frame structure optimization, and discloses a vehicle frame structure optimization method and system based on an SIMP-PLSM fusion method, and the method comprises the steps: building a vehicle frame geometric model, and defining a design domain of the vehicle frame geometric model and a plurality of preset first boundary conditions under different working conditions; topological optimization software is adopted to carry out topological optimization calculation on the geometric model of the vehicle frame under each working condition by utilizing an SIMP-PLSM fusion method, and a first topological optimization model under each working condition is obtained; carrying out rigidity analysis on the first topological optimization model under each working condition by adopting finite element analysis software, and obtaining a weight value of each working condition according to a rigidity analysis result; and performing weighted average processing on the topological optimization target of each working condition by adopting topological optimization software according to the weight value of each working condition, and performing topological optimization on the geometric model of the frame again by utilizing an SIMP-PLSM fusion method to obtain a topological optimized frame model under multiple working conditions. The optimization efficiency is high, the optimization result is good, and the manufacturability and practicability of the optimized structure are high.

The invention discloses a machine learning assisted flexible hinge finite element design method, and relates to the technical field of flexible hinge design. Constructing a structure parameter library of the flexible hinge; converting the structure parameter library into a three-dimensional model library through three-dimensional modeling; performing simulation analysis on the three-dimensional model in different working environments, and constructing a corresponding grid library; a three-dimensional simulation database of the flexible hinge is generated by using simulation software; establishing a structure parameter and performance characteristic parameter library by utilizing a machine learning method; optimizing the design scheme through a machine learning method; and predicting design parameters based on machine learning, and performing flexible hinge performance characteristic prediction and scheme optimization. A machine learning method is adopted to predict an optimal design scheme of the flexible hinge, finite element analysis software is combined to simulate mechanical properties of a three-dimensional model of the flexible hinge, and a performance evaluation index is verified through a finite element experiment, so that the experiment cost is reduced, the design efficiency is improved, and expensive experiments and heavy calculation requirements are avoided.

The invention provides a numerical simulation and stability analysis method and system based on monitoring data, and belongs to the technical field of monitoring and early warning. The problems that in the slope monitoring technology, data collecting and processing efficiency is low, calculation model precision and adaptability are poor, dynamic monitoring of slope stability lacks pertinence, the system integration degree is low, cost is high, and application is complex are solved. The method comprises the steps that slope data are collected in real time through a multifunctional sensor; transmitting the acquired data to a data acquisition system for real-time data monitoring and recording; a two-dimensional numerical model of the side slope is constructed through finite element analysis software, and the side slope is analyzed through the two-dimensional numerical model; and comparing and analyzing real-time monitoring data in the data acquisition system and a numerical simulation calculation result, analyzing the change trend of the side slope, identifying a potential instability area, updating the two-dimensional numerical model in real time by using an automatic algorithm, completing real-time dynamic evaluation of the side slope, and early warning potential side slope instability risks in advance.

The invention provides a method for analyzing the high-temperature friction performance of a copper crystallizer coating, and relates to the technical field of steel continuous casting production. The method comprises the following steps: firstly, carrying out a friction-wear experiment on a crystallizer copper plate coating through a friction-wear platform reciprocating in a sine mode, measuring the friction coefficient of the crystallizer copper plate coating under a high-temperature condition, and obtaining the wear depth after a certain period of time; then establishing a crystallizer plating layer friction wear finite element model in finite element analysis ABAQUS software, introducing a friction coefficient measured by an experiment to carry out friction wear simulation calculation, comparing and analyzing results of the friction wear experiment and the simulation calculation, and determining the friction wear behavior of the crystallizer copper plate under the complex working condition; and the analysis on the high-temperature service performance of the crystallizer copper plate coating is realized. According to the method, the friction performance of the crystallizer copper plate coating under the high-temperature condition can be accurately analyzed, and a basis is provided for optimizing the manufacturing process of the crystallizer copper plate coating and improving the coating performance.

The invention relates to the technical field of civil engineering digitization, and discloses a steel structure physical digital twin model construction method, device and equipment and a medium, the method comprises the following steps: carrying out multi-source point cloud data acquisition on a steel structure, and generating a steel structure complete point cloud model based on the multi-source point cloud data; extracting a complete geometric line model and a section size of the steel structure from the complete point cloud model of the steel structure, and obtaining an actually measured material constitutive of the steel structure through a material property test; establishing a large-span space steel structure finite element model by adopting finite element analysis software based on the complete geometric line model, the section size and the actually measured material constitutive structure of the steel structure; and correcting the finite element model based on the residual error between the measured data of the steel structure and the simulated data of the steel structure output by the finite element model, and taking the corresponding finite element model when the residual error is less than a preset threshold value as the physical digital twinborn model of the large-span space steel structure. According to the method, millimeter-level geometric reduction, real material parameter association, lightweight efficient calculation and dynamic data correction are realized.

The invention relates to a finite element numerical simulation method and device, computer equipment and a storage medium, and belongs to the technical field of material mechanics analys.The method comprises the steps that a geometric model corresponding to a target standard part is constructed based on a main program of finite element analysis software; constructing a finite element model corresponding to the geometric model; solving the second finite element model, determining a state variable corresponding to the current increment step, and sending the state variable to a subprogram of finite element analysis software; calculating a heuristic stress based on the subprogram, determining a correction result of the state variable according to the heuristic stress, and returning the correction result to the main program when the correction result converges; and in response to the detected correction result, utilizing the main program to solve the state variable of the next increment step until the state variables of the preset number of increment steps are solved. According to the invention, the test time and economic cost can be effectively reduced.

The invention provides a cooling fan performance calculation method based on multi-physics field coupling. The cooling fan performance calculation method comprises the following steps that a parameterized geometric model of a fluid domain is established according to the size and the relative position of an engine cooling fan and a wind chamber test bed; respectively inputting the two parameterized geometric models into pretreatment software, respectively carrying out grid division on the two parameterized geometric models by using a grid division tool, and outputting a grid file after geometric discretization of the two parameterized geometric models; the discrete grid file of the engine cooling fan is imported into finite element analysis software, a pretreatment tool is used for defining material parameters for the engine cooling fan, boundary conditions and load constraints are applied, the discrete grid file of a fluid domain is imported into fluid dynamics analysis software, and fluid dynamics analysis is carried out on the engine cooling fan; setting a turbulence model, region and boundary conditions, a solver and the like; establishing a multi-physical field coupling model to realize data exchange among a plurality of physical fields; and operation calculation is carried out, a calculation result is post-processed, and qualitative and quantitative analysis is carried out on the fan performance.

Provided are a method and a system for optimizing a design of a high-pressure hydrogen storage composite wound gas cylinder. The method includes: S1, determining a preliminary design result according to a film theory and a grid theory; S2, establishing a three-dimensional solid refined model of the preliminary design result based on a finite element analysis software; and S3, applying the three-dimensional solid refined model for a simulation analysis, and applying a response surface or a genetic algorithm for an optimization design.

The invention discloses a structure simulation optimization method for handbag accessories. The method comprises the following steps: determining an optimization target and setting a load condition and a boundary condition; creating a three-dimensional geometric model of the handbag accessory; performing mesh generation on the geometric model to generate a finite element mesh model; defining the material attribute of each part of the handbag accessory; boundary conditions and loads are applied, and physical constraint and stress conditions of the handbag accessories in the actual use process are simulated; carrying out simulation calculation by using finite element analysis software to obtain deformation, stress and strain distribution of the handbag accessory under the action of a load; performing structure optimization on the handbag accessories according to a simulation calculation result; according to the structure simulation optimization method for the handbag accessories, the problems of precision, efficiency and cost in the design of the handbag accessories are solved, the intelligent level of the design process is improved, and the quality and performance of products are ensured.

The invention relates to the technical field of automobile frame design, in particular to a Kriging model and analytic hierarchy process integrated frame optimization method, which comprises the following steps of: establishing an initial geometric model of a frame through computer aided design software, and performing structural performance analysis on the frame by using finite element analysis software to obtain initial structural performance data; based on the initial structure performance data, performing approximate modeling on the frame structure performance by using a Kriging model to form a performance prediction model; carrying out importance sorting and weight distribution on each key parameter in the frame design by adopting an analytic hierarchy process, and determining an optimized objective function and constraint conditions; in combination with an optimization algorithm, under the guidance of a Kriging model and analytic hierarchy process weight distribution, performing global search and optimization on frame design parameters; performing finite element analysis verification on the obtained optimal design scheme; according to the method, the Kriging model and the analytic hierarchy process are fused, so that global search and optimization of design parameters are realized, and the design efficiency is greatly improved.

The invention provides a large-span steel corridor structure high-precision assembling method, and belongs to the technical field of building construction, and the method comprises the step of constructing an accurate and reliable structure assembling technical system through deep fusion of a building information model and a three-dimensional space coordinate system. According to the method, a laser positioning instrument and a multi-stage torque sensor are introduced for the first time, and accurate positioning of the steel member and fine control of bolt torque are achieved. From a pre-assembly site, component installation is conducted layer by layer through an axis control net and an angular point control net, and a staged bolt fastening strategy is adopted and comprises initial tightening torque control, semi-tightening torque control and final tightening torque control. In the assembling process, finite element analysis software is used for conducting multiple times of structure checking calculation, the space position error and the structure stability are strictly monitored, and the geometric accuracy, the connection reliability and the overall performance of the large-span steel corridor structure are ensured. According to the method, the problem that large accumulative errors are inevitably caused by the fact that manual measurement and mechanical limiting modes are generally adopted for positioning and connection at present is solved.

The invention discloses a sluice construction project earthwork filling quality evaluation method and evaluation system based on real-time monitoring. The method comprises the following steps that soil pressure monitoring values and changes thereof in the earthwork filling process are monitored in real time through a soil pressure meter; selecting a box culvert section as a typical position, and establishing a three-dimensional finite element model of a filled soil body; calculating the three-dimensional finite element model of the filled soil body based on finite element analysis software, and inputting preset material parameters, boundary conditions and loads to obtain a soil pressure calculation value and changes thereof in the layer-by-layer filling process; performing comparative analysis on the soil pressure calculation value and the soil pressure monitoring value, and screening out reliable soil pressure monitoring values of different soil layers; according to the conversion relation between the compaction degree and the soil pressure, compaction degree monitoring values of different soil layers are obtained through calculation; the compaction degree monitoring value is compared with the designed compaction degree, and the earthwork filling quality is evaluated. The method can provide corresponding basis and reference for management and control of earthwork filling quality by managers.

The invention discloses a driving risk assessment method based on a coupled vibration model, and the method comprises the steps: S1, obtaining a vehicle dynamic parameter and a geometric dimension parameter, and building a vehicle dynamic model based on the vehicle dynamic parameter and the geometric dimension parameter by employing finite element analysis software or directly calculating a dynamic differential equation set; s2, acquiring bridge vibration excitation, roughness excitation and crosswind excitation; s3, inputting the bridge vibration excitation, the roughness excitation and the crosswind excitation into the vehicle model for coupled vibration analysis, and obtaining vehicle vibration response data; and S4, based on the vehicle vibration response data, obtaining a driving safety index and a comfort index, and performing risk assessment according to preset threshold values of safety and comfort. According to the method, multi-dimensional factors such as the wind environment, the vehicle dynamic response, the bridge structure vibration characteristic and the driving comfort degree are considered, and a high-precision and high-reliability risk assessment basis can be provided for a bridge operation unit.

The invention provides a floating dock lightering analysis method which comprises the steps that finite element models of a ship to be lighted and a bearing beam are established in finite element analysis software, the bearing beam is arranged on a bearing trolley and can move along with the bearing trolley, and a plurality of cushion blocks used for supporting the ship are arranged on the bearing beam; calculating the reaction force of each cushion block, and arranging the reaction force to form a reaction force distribution diagram; judging whether the bearing beam with the deformation degree exceeding the allowable standard exists or not; in the lightering process, a plurality of typical stowage working conditions are selected, overall stress analysis is conducted on the floating dock under the typical stowage working conditions, and a floating dock stowage scheme is determined; a finite element model of the floating dock is established, a plurality of typical stress working conditions are selected in the lightering process, and finite element analysis is conducted on stress distribution and deformation of the floating dock structure under the typical stress working conditions. According to the technical scheme, the calculation efficiency and simulation precision of the floating dock lightering process can be effectively improved, and the safety of the ship during floating dock lightering is better ensured.

The invention discloses a sludge bin design and optimization method based on finite element analysis. The method comprises the steps that 1, a three-dimensional model of a sludge bin is established; 2, material characteristic values are added into the three-dimensional model of the sludge stock bin, and grid division is carried out; 3, after boundary strip constraint conditions and loads are added into the three-dimensional model of the sludge bin, finite element analysis software is operated, and a strength analysis result is obtained; 4, judging whether the strength analysis result meets the strength design requirement or not; if the strength analysis result does not meet the strength design requirement, returning to the step 1; if the strength analysis result meets the strength design requirement, entering the step 5; 5, carrying out optimization design to obtain an optimization design result; and 6, judging whether the optimization design result is optimal and meets the strength design requirement or not, if so, outputting the optimal three-dimensional model of the sludge bin, and if not, repeating the steps 1-5. According to the invention, the stress condition of the discharge bin under the target load can be accurately simulated, and the structure is optimized.

The invention discloses a flexible support design method for a spatial large-aperture reflector and a support structure, and relates to the field of quasi-kinematics support design of large-aperture spatial reflectors. According to the method, a titanium alloy material is selected, parameters such as the size of a connecting frame and the total height of a Bipod support are determined according to the quality of a reflector, the size of a glue spot and an installation space, a cross-shaped blade flexible element is designed to serve as a flexible knot, a three-dimensional parameterized model is established and imported into finite element analysis software, and the three-dimensional parameterized model is obtained. And optimizing structural parameters by taking the RMS value of the optical surface deformation of the reflector as a judgment standard, and finally carrying out dynamic verification such as modal analysis and random vibration analysis. According to the supporting structure, rigidity and flexibility are balanced through a flexible joint, thermal stress can be released, rigidity in the optical axis direction is guaranteed, the bending moment and the influence of machining and assembling errors are reduced, the supporting structure is suitable for reliable supporting of the spatial large-aperture silicon carbide reflector, and the positioning precision and the surface shape precision of the reflector during on-orbit work are effectively guaranteed.

The invention belongs to the related technical field of all-solid-state lithium metal batteries, and discloses an all-solid-state lithium metal battery cycle performance prediction method and system, and the method comprises the steps: building an electrochemical mechanical coupling polycrystalline phase field model according to the Helmholtz free energy evolution of dendrites; wherein grain boundary phase field parameters and dendritic phase field parameters are introduced into the polycrystalline phase field model to distinguish a three-phase system; deducing a lithium diffusion control equation, an electrostatic potential distribution equation and a stress balance equation; randomly generating a polycrystalline solid electrolyte by adopting a Voronoi algorithm; performing simulation solution on the polycrystalline phase field model by using finite element analysis software; and predicting the cycle performance of the all-solid-state lithium metal battery according to a simulation result. According to the invention, deep systematic research on the growth and stripping mechanism of the lithium dendrites in the solid-state battery can be realized, so that the cycle performance of the battery can be predicted based on the lithium dendrites, and targeted regulation and improvement are facilitated to improve the performance of the battery.

The invention discloses a skin stretch forming residual stress rapid calculation method which comprises the following steps: randomly generating a combination of a pre-stretching amount, a coating elongation rate and a friction coefficient, submitting the combination to finite element analysis software to execute batch simulation, and generating a result file named by process parameters; traversing all the result files, extracting node numbers and residual stress values, and storing the node numbers and the residual stress values as a text format data set corresponding to the process parameters; a full-connection neural network model is constructed, an input layer receives the three process parameters of the pre-stretching amount, the coating elongation and the friction coefficient, a hidden layer comprises multiple layers of neurons and adopts a ReLU activation function, and an output layer generates residual stress values of all nodes; training the neural network model by using the data set, and adjusting the network weight through an optimizer; and inputting target process parameters to the trained neural network model, and outputting residual stress calculation results of all nodes of the skin. The technical purposes of rapidness, high efficiency and low cost are achieved.

The invention discloses an exercise management method and system for musculoskeletal chronic pain, and relates to the technical field of exercise management rehabilitation, and the method comprises the steps: building a biomechanical model for a patient through finite element analysis software, determining an optimal exercise mode according to the pain mode and the activity ability of the patient, and generating an exercise track through a path planning algorithm, on the basis of micro-current collaborative feedback data, the pain change trend of the patient is calculated, and a motion adjustment plan is generated, a biomechanical model can truly reflect the force distribution conditions of the patient under different motions, the safety of a motion scheme is remarkably improved, and the potential injury risk is reduced; scientific basis is provided for dynamically adjusting the exercise intensity, the obtained exercise adjusting plan can respond to the state change of the patient in time, and the intelligent level and the long-term curative effect of rehabilitation management are further enhanced.