318 results about "Finite element calculations" patented technology

The invention relates to the technical field of data processing, and discloses a comprehensive evaluation method and system for the health degree of a distribution network cable. The method comprises the following steps: collecting cable joint multi-source monitoring signals, normalizing the monitoring signals to obtain a degradation degree feature vector, correcting multi-physics field coupling model parameters, obtaining a recessive degradation index through finite element calculation to obtain an enhanced feature vector, and performing time-frequency domain decomposition to extract multi-scale feature parameters to obtain a comprehensive feature matrix; a double attention mechanism calculates a feature weight and a time sequence correlation degree to obtain a deterioration trend prediction value, and fuzzy integral is fused with a multi-classifier output probability to obtain a health degree evaluation grade and an early warning result. According to the invention, the early defect identification accuracy and the degradation trend prediction precision are improved.

The invention provides an arch dam shape efficient intelligent optimization method and system based on an agent model. The method comprises the steps that an arch dam physical-numerical model is constructed, a double optimization target with structural safety and economical efficiency as the core is determined, design parameters are selected, a constraint function is set, and an evaluation index system is established; samples are generated through Latin hypercube sampling, a data set is constructed in combination with finite element calculation, and a multi-task learning architecture is adopted to train a high-precision agent model. And then, coupling the proxy model with a multi-objective optimization algorithm, quickly searching a Pareto optimal solution set, and screening out a comprehensive optimal figure by using a multi-attribute decision-making method. And finally, through a finite element simulation verification result, prediction precision and performance improvement are ensured. The method has the advantages of lightweight modeling, efficient prediction and accurate search, and provides an effective tool for intelligent optimization and rapid decision making of hydraulic structures such as arch dams and the like.

The invention relates to the technical field of infrared light machine system thermal deformation prediction, in particular to a multi-material structure thermally induced stress deformation prediction method based on a graph neural network. The method comprises the steps of data set establishment, graph structure establishment, graph neural network model establishment and training and model and parameter optimization. Finite element nodes correspond to graph nodes, finite element edges correspond to graph edges, an encoder-message passing-decoder architecture model is established, and node states are updated through a three-layer physical symmetry message passing mechanism. Physical constraint loss including minimum displacement smoothness constraint and stress continuity constraint is innovatively added into a loss function. Compared with traditional finite element calculation, the method has the advantages that the speed is increased by more than 100 times, high hardware adaptability is achieved, the black box limitation of a data-driven neural network model is broken through, thermally induced stress deformation analysis caused by different material coefficients can be processed, the adaptability to geometric changes is high, and good engineering application value is achieved.

The invention provides an in-situ real-time monitoring method and system for a rock microscopic fracture mechanism and stress evolution. The method comprises the following steps: S1, standardized preparation and pretreatment of a rock sample; s2, in-situ loading and multi-modal data synchronous acquisition are carried out; s3, crack dynamic tracking and stress-strain field joint calculation; s4, constructing a microscopic-macroscopic quantitative correlation and damage model; and S5, performing multi-dimensional dynamic visualization and engineering output. The in-situ scanning electron microscope and the mechanical loading device are integrated, so that cross-scale synchronous monitoring and quantitative analysis of micro crack evolution and macroscopic stress-strain response are realized. A low-disturbance clamping device and a conductive anti-charge sample are treated, and in-situ testing is ensured; combining DIC and deep learning to quantify a crack propagation path, a local strain field and energy characteristics; through DIC strain inversion and finite element calculation, a non-contact stress cloud picture is generated in real time, and finally quantitative correlation between a microscopic fracture mechanism and macromechanical response is established.

The invention discloses a containment failure probability curve fitting method and system based on a random forest, and relates to the technical field of nuclear power safety. Comprising the following steps: acquiring key parameters influencing ultimate bearing capacity of a containment, determining a distribution interval of the key parameters, and establishing a key parameter table; performing finite element calculation on the basis of the key parameter table, obtaining ultimate bearing capacity of the containment vessel under different parameter combinations and temperature loads, and establishing a database; performing normalization preprocessing on the database to form a training data set; establishing a random forest model and performing regression model training by using the training data set; inputting actual design parameters of the containment and the temperature required to be evaluated into the trained model to obtain an ultimate bearing capacity predicted value of the containment; and fitting of a failure probability curve is carried out based on the central limit theorem. According to the method, complex probabilistic safety analysis is converted into a standardized calculation task, and the implementation threshold of nuclear power plant design verification and safety review is greatly reduced.

The invention relates to the technical field of electrics, in particular to a cable core temperature prediction method, system and device and a medium, and the method comprises the steps: building a multi-physical field coupling finite element model of a cable based on a first target parameter and a target condition; performing finite element calculation on the finite element model to generate a sample data set under multiple working conditions; performing preset processing on the sample data set to generate multi-dimensional time sequence input data; training a deep learning model by using the multi-dimensional time sequence input data to obtain a target model; and performing cable core temperature prediction on the acquired cable operation parameters by using the target model. The beneficial effects are that intelligent temperature monitoring and early warning can be provided for safe operation of the cable, an overheating fault is prevented in advance, stable power supply of a power grid is guaranteed, and the operation and maintenance cost and risk are reduced.

The invention belongs to the technical field of airplane structure strength digital twinborn model construction, and particularly relates to an airplane structure finite element calculation result data noise reduction method, which comprises the following steps: step 1, preliminarily identifying deformity units including triangular units and high slenderness ratio units; identifying the triangular units based on the continuity of the node numbers; identifying a high slenderness ratio unit based on the side length; 2, defining a stress concentration area, and removing units in the stress concentration area from the deformed units; defining a stress concentration region including a hole edge, a fillet, a boundary constraint position and a region where a concentrated load applying position is located; 3, calculating the gradient of the deformity units, and removing units in a real physical gradient field from the deformity units; step 4, carrying out noise reduction processing on the calculated value of the malformation unit; and smoothing the calculated value of the malformed unit, or removing the calculated value of the malformed unit.

The invention relates to a site micro-vibration attenuation test measuring point determination method and system, belongs to the technical field of vibration test, and solves the problem that vibration test measuring point arrangement depends on vibration source load accuracy or artificial experience in the prior art. The method comprises the following steps: determining a basic measuring point based on a target site parameter, obtaining an actual measurement vibration response, and calculating an actual measurement response transfer ratio; establishing an initial finite element model of the target site, and applying a preset load to the initial finite element model to obtain an initial finite element calculation result; according to the basic measuring points, corresponding model calculation points and predicted vibration responses are extracted, and predicted response transfer ratios are calculated; and performing model parameter updating by using the actually measured response transfer ratio and the predicted response transfer ratio, obtaining a basic finite element model, generating a vibration transfer form curve, obtaining vibration transfer characteristics, and determining the number and the positions of the measuring points. The micro-vibration transmission characteristics are accurately determined without depending on the vibration source load, and the number and the positions of the vibration attenuation test points are reasonably formulated.

The invention discloses a concrete panel tensile crack damage calculation method and a concrete panel tensile crack damage calculation system, which combine extended finite element calculation with a concrete tensile crack damage calculation model, accurately simulate crack behaviors in concrete, and are particularly suitable for numerical simulation requirements under the conditions of complex crack networks and large-scale damage. According to the method, the expansion finite element method is introduced, subtle changes of crack starting, expansion paths and final forms are captured on the premise that the calculation cost is not increased, the common problem of grid dependence in a traditional finite element method is avoided, fine division or frequent updating of grids is not needed, and the calculation efficiency is improved. The method reduces the preprocessing time and iteration times, reduces the consumption of overall computing resources, can accurately describe the expansion path of the crack and the nonlinear mechanical behavior of the concrete, and is suitable for the simulation of a complex crack network.

The invention discloses a welding simulation heat source parameter calibration method and system based on a hybrid agent model, and belongs to the technical field of welding numerical simulation and optimization, and the method comprises the following steps: S1, problem definition and experiment design; s2, analyzing a product structure and constructing a joint model; s3, parameter space sampling; s4, performing simulation calculation; s5, constructing a mixed agent model; s6, proxy model optimization based on a genetic algorithm; s7, parameter verification and model updating; and S8, optimizing and outputting optimal parameters. According to the method, most time-consuming full-order finite element calculation is replaced by the proxy model and the simplified joint model, the parameter calibration process is shortened from several days or weeks to several hours, and the optimization efficiency is improved; a simplified model and a complete model are used for optimization, firstly, the simplified model is used for rapidly obtaining an optimal parameter approximate value, and the complete model is used for obtaining accurate parameters.

The invention relates to the technical field of aero-engines, and discloses a proxy model-based wheel disc over-rotation fracture rotation speed prediction method, which utilizes a strain prediction proxy model to perform analysis and calculation, and can improve the precision and efficiency of wheel disc fracture rotation speed prediction. The strain prediction agent model is adopted to replace a traditional finite element method for strain prediction calculation, a large number of simulation models for simulating wheel disc over-rotation fracture are not needed, only finite element calculation of a small number of sample points is needed, the strain prediction result under any working condition can be rapidly output, calculation efficiency is high, calculation cost is low, and the method is suitable for large-scale popularization and application. And the real-time requirement of calculation can be met. According to the method, the influence of the uncertain parameters on the wheel disc fracture behavior is considered, the fracture rotation speed interval under the influence of the uncertain parameters is predicted, the accuracy and reliability of fracture rotation speed prediction are improved, and a more scientific basis can be provided for design and optimization of a wheel disc.

The invention discloses a water distribution ring pipe flexible supporting method, a flexible supporting device is used, the flexible supporting device comprises a plurality of body supporting feet arranged at the bottom of a water distribution ring pipe body, supporting pieces are arranged below the body supporting feet respectively, and the supporting pieces make contact with the body supporting feet and can slide relative to the body supporting feet. A supporting bottom plate is arranged at the lower end of the supporting piece, and a tensioning assembly is further arranged between the supporting bottom plate and the body supporting feet. The method comprises the steps of segmenting according to transportation limitation, selecting supporting pieces according to weight, constructing a three-dimensional model and carrying out nonlinear finite element calculation, verifying by extracting bearing reaction and deformation, carrying out fine tuning iteration on a standard exceeding area, finally determining the area of a bottom plate, and forming a complete closed loop from pipe joint processing to load control. According to the method, empirical design is converted into accurate control based on data, the problems of large deformation difference and uneven load of all supporting positions of the large water distribution ring pipe can be solved in a targeted mode, and the blank that a traditional method lacks systematic quantification means in large unit supporting design is filled up.

The invention belongs to the field of transformer substation design, and provides a transformer substation building parameterization intelligent design method and system, and the method comprises the steps: constructing a parameterization component library, building a component model, and configuring adjustable parameters and constraint rules of components; obtaining a station area general map and geological data of a target transformer substation, and generating a three-dimensional model containing terrain and a foundation; corresponding building components are selected from the parameterized component library, a building contour is arranged, and a preliminary model is formed; a design rule is called, corresponding parameters of the preliminary model are adjusted in a parameterized mode under the design rule, a structure calculation model is generated, and structure finite element calculation analysis is conducted; whether conflicts exist in the adjusted model is determined, if yes, conflict positions are marked, and an optimization scheme is produced; and if not, generating a drawing of the adjusted model, calculating an analysis result according to the structural finite element, and outputting a material list and an engineering quantity. The problem of multi-specialty collision can be solved, and the design efficiency and the standardization level are improved.

The invention discloses a battery microstructure three-dimensional reconstruction simulation method and system based on an electrochemical model and computer equipment. The method comprises the following steps: acquiring a lithium ion battery electrode scanning sequence image, and acquiring a three-dimensional voxel model and an electrode grid chart; s2, acquiring key microstructure parameters of the electrode; s3, performing mesh generation on three-phase voxels in the electrode mesh chart to obtain a mesh file for finite element calculation; and S4, comparing the experimental data of the battery with the simulation data of the three-dimensional microstructure electrochemical model, adjusting the precision of the three-dimensional microstructure electrochemical model, and optimizing related parameters. According to the invention, three-phase accurate segmentation is carried out by using filtering and denoising, image enhancement and connectivity and a watershed segmentation algorithm, and a three-dimensional voxel model containing real particle morphology, cracks and pores and an electrode grid chart are reconstructed; the problems that in the prior art, a lithium ion battery microstructure simulation model is large in idealization deviation and inconsistent with a real structure, and consequently performance prediction is inaccurate are solved.

The application discloses a kind of centrifugal pump shafting critical speed calculation method, including the finite element calculation of radial roller bearing and thrust roller bearing stiffness coefficient curve, the prestressed modal analysis and critical speed calculation of centrifugal pump shafting considering different bearing stiffness coefficient.The setting of constraint condition of this method is in line with actual situation, which can realize the accurate calculation of centrifugal pump shafting critical speed, and help to improve the reliability of safety check of centrifugal pump shafting in design stage, at the same time, the calculation steps are simple, and the engineering application range is wide.

The invention discloses a vibration isolation support parameter dynamic correction method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the vibration monitoring data of a building structure, carrying out the modal recognition based on the vibration monitoring data, obtaining the actual measurement modal parameters of the building structure, building a building structure finite element model containing a vibration isolation support, and carrying out the dynamic correction of the vibration isolation support. The vibration isolation support is simulated in a building structure finite element model by using a support unit with an initial rigidity parameter set according to a preset standard, the actual rigidity parameter of the vibration isolation support is inversely identified by adjusting the rigidity parameter value of the support unit and performing finite element calculation based on an actually measured modal parameter as a target, and the actual rigidity parameter of the vibration isolation support is calculated according to the actual rigidity parameter of the vibration isolation support. And establishing a time-varying stiffness model of the vibration isolation support according to the actual stiffness parameter and the change rule of the actual stiffness parameter along with time, and dynamically updating the stiffness parameter of the support unit in the building structure finite element model by using the time-varying stiffness model to obtain the updated stiffness parameters at different time points so as to predict the performance degradation trend of the vibration isolation support.

Embodiments of the present application provide a kind of roadbed slope stability prediction method, equipment and storage medium, it is related to slope reliability analysis technical field.The present application obtains the displacement detection result, space characteristic parameter and weather prediction parameter of the slope to be monitored in any sampling period;Then based on the optimized slope finite element calculation model, displacement calculation result is obtained using space characteristic parameter, and then the physical parameters of the slope at the current sampling time are determined, and then the time series of the physical and mechanical parameters of the slope rock-soil body is obtained;Finally, a time series prediction model is constructed, and the physical parameters of the slope in the next sampling period are predicted based on the above weather prediction parameters and time series, and then the slope stability safety factor is determined, so as to determine the slope stability by the slope stability safety factor.The present application can be suitable for various geological environments, and can dynamically adjust the evaluation parameters according to the real-time monitoring data, greatly improving the calculation accuracy.

The embodiment of the invention provides a wheel disc fracture failure prediction method and device, computer equipment and a medium, and relates to the technical field of digital twines.The method comprises the following steps that a uniaxial quasi-static tensile test is conducted on a tensile test sample, and an engineering stress-strain curve of a wheel disc is obtained; converting the engineering stress-strain curve into a true stress-strain curve; based on the true stress-strain curve, constructing a wheel disc failure prediction model under a deterministic condition; sensitivity analysis is conducted on the uncertainty quantitative parameters, sample data under different working conditions are obtained through finite element calculation based on the key parameters, a wheel disc maximum strain proxy model is constructed based on the sample data, the key parameters are input into the wheel disc maximum strain proxy model, and the confidence interval of the rotating speed of the wheel disc during fracture is obtained. According to the scheme, by constructing the wheel disc maximum strain proxy model, high-precision global simulation of the wheel disc breaking process is realized, and the problems of limited test points and insufficient simulation precision are solved.

The invention discloses a shield butt joint section curtain grouting additional load determination method, and relates to the technical field of geotechnical engineering grouting, and the method comprises the steps: carrying out the preprocessing of obtained grouting measurement data, obtaining an envelope point set, and carrying out the fitting optimization based on an envelope line function model, and obtaining an optimized envelope line function; calculating an ultimate load, attenuating the ultimate load to a preset engineering allowable threshold value to obtain an ultimate load acting distance, and determining boundary conditions through an envelope line intercept analysis method; and correcting the limit load according to a preset grouting load safety coefficient to obtain a corrected limit load, and performing inversion correction in combination with the grouting measurement data to obtain a final limit load and a final boundary condition. According to the method, the significant action range and the most unfavorable load condition of the grouting load are determined by capturing the spatial distribution and evolution law of the additional soil pressure field caused by grouting, and accurate load boundary conditions are provided for model analysis or finite element calculation.

The invention is suitable for the technical field of seismic analysis, and provides a cross-fault tunnel fault movement-seismic oscillation decoupling analysis method and device and a terminal. The method comprises the following steps: establishing a finite element model of a cross-fault tunnel-surrounding rock; based on the dual-objective optimization function of the seismic wave, determining the separation frequency of a fault movement component and a seismic oscillation component in the current seismic wave, and obtaining fault movement component data and seismic oscillation component data from the seismic wave in the simulation area; the fault movement component data and the seismic movement component data are converted into equivalent seismic loads; and applying the equivalent seismic load to the finite element model for finite element calculation, and determining the seismic response rule of the tunnel lining under the action of the seismic motion field and the fault displacement field. According to the method, the optimal separation frequency of the seismic oscillation component and the fault movement component is determined by using the dual-objective optimization function, so that the influence of different seismic wave components on the tunnel structure is researched, and a reference basis is provided for adopting targeted anti-seismic measures for tunnel seismic resistance.

The invention relates to the technical field of nuclear reactor fuel element analysis, in particular to an irradiated zirconium alloy plasticity limit prediction method based on a crystal plasticity finite element, which comprises the following steps: establishing a three-dimensional polycrystalline representative body cell model conforming to the actual grain size of zirconium alloy; based on a crystal plasticity theoretical model, zirconium alloy material parameters are obtained through calculation; boundary conditions and load conditions are determined, finite element calculation is executed in combination with material parameters, and an element stiffness matrix of each increment step is output; assembling the unit stiffness matrix, and obtaining a macroscopic stress-strain matrix of the three-dimensional polycrystal cell model through a homogenization method; and substituting the macroscopic stress-strain matrix into the Rice theoretical criterion, traversing the macroscopic stress-strain matrix of each increment step, and determining the plastic strain meeting the judgment critical condition. According to the method, accurate finite element plastic limit analysis can be carried out on the irradiation material, and the plastic limit strain of the zirconium alloy under the irradiation condition can be accurately judged.

The invention relates to the technical field of hydraulic engineering safety monitoring and numerical analysis, and discloses a multi-dimensional cloud agent model assisted high-performance adaptive probability inversion system, which comprises a finite element modeling module, a sample generation module, a cloud agent model construction module, an adaptive inversion module and a dynamic updating module. The system constructs a multi-dimensional coupling cloud agent model for replacing finite element calculation by calculating cloud digital characteristics such as expectation, entropy and hyper entropy of input variables and generating a multi-layer virtual cloud droplet; performing parameter inversion by using a variable step Markov chain Monte Carlo algorithm based on local and global uncertainty indexes; and processing time sequence monitoring data by combining a state space model and a Bayesian recursion strategy to realize continuous correction of parameter posterior distribution. According to the method, the problems of long time consumption, low convergence efficiency and difficulty in processing time-varying characteristics of traditional inversion calculation are effectively solved, and efficient dynamic inversion and safety state accurate evaluation of dam full life cycle parameters are realized.

The invention belongs to the technical field of permanent magnet biased hybrid magnetic bearings, and discloses a magnet biased partial load unstable hybrid magnetic bearing structure and a bearing capacity design method. A magnet bias partial load unstable hybrid magnetic bearing structure directly uses permanent magnets to carry out partial load on radial magnetic attraction force of a rotor, the radial bearing capacity of the bearing can be greatly improved by increasing the number of the permanent magnets, the permanent magnets are installed in an embedded mode, the structure is compact, and the stability of the rotor in the radial direction is maintained with the assistance of an electromagnetic bearing. The application requirements of large bearing and small size can be met; in order to solve the radial instability characteristic of a rotor caused by magnet bias partial load, the invention provides a bearing capacity design method under the influence of external force such as magnet bias permanent magnetic attraction, rotor gravity, external radial load and electromagnetic attraction of an electromagnetic bearing, and the method does not need to depend on finite element calculation with relatively long time consumption. The design range of the stable bearing capacity of the bearing can be obtained only through simple analytical calculation, stable suspension of the rotor is achieved, and good practicability and convenience are achieved.

The invention provides a lightweight monitoring and rapid evaluation analysis method and system for small and medium span highway bridges. Comprising a bridge parameterization rapid input module, a vehicle load batch input module, a measuring point information arrangement module, a finite element calculation and analysis module, a batch load working condition measuring point result automatic extraction module and a cloud highway bridge structure response monitoring module. The method has the following advantages: 1, on-site appearance quality acquisition, material performance test, dynamic characteristic test and other work of the bridge are not needed, the safe traffic coefficient of the bridge can be evaluated in real time only by monitoring the dynamic deflection of the measuring point at the key section position based on the standardized structural characteristics of the small and medium span bridge, and the real-time performance of the evaluation result is realized; and 2, under any traffic flow condition, real-time dynamic verification coefficients of various types of overweight vehicles under different driving conditions and bridges can be accurately calculated, and timely safety early warning is realized, so that expenditures of a large amount of manpower, material resources and the like required by a load test are saved, and the cost is greatly reduced.

The invention relates to a nuclear power plant main pipeline damage tolerance establishment method. The method comprises the following steps: S1, determining the critical crack size of the main pipeline of the nuclear power plant at the end of the life; and S2, performing finite element calculation based on the established finite element model of the crack-free structure of the main pipeline so as to obtain stress distribution of the crack-free structure under each load working condition. S3, according to the initial crack size and the finite element calculation result, stress intensity factor calculation, transient pairing, elastic-plastic correction and fatigue crack propagation calculation are conducted in sequence, and the life end crack size of the main pipeline is obtained. And S4, when it is judged that the life end crack size of the main pipeline is smaller than the critical crack size, the step S3 is executed again to conduct iterative calculation on the initial crack size. And when the final crack size of the service life of the main pipeline is judged to be greater than the critical crack size, taking the initial crack size updated by the last iteration as the structural damage tolerance. The nuclear power pipeline defect evaluation period can be shortened, and the evaluation efficiency is improved.

The invention discloses a method for predicting the fatigue life of a metal damper. The method comprises the following steps: acquiring data information of a target metal damper; carrying out material test and parameter calibration on the material of the target metal damper; carrying out hybrid hardening elastic-plastic finite element modeling on the target metal damper; and plastic finite element calculation and post-processing analysis are carried out to complete fatigue life prediction of the target metal damper. The invention further discloses a structure optimization method comprising the metal damper fatigue life prediction method. According to the method, fatigue life prediction and structure optimization of the target metal damper are achieved, and the scheme is higher in reliability and better in accuracy.

The invention provides a fluid dynamic action surface deformation calculation method based on a deep neural network, and the method comprises the steps: taking fluid characteristics and solid characteristic parameters as input data, taking surface deformation of a finite element calculation surface lift action as output data, and taking a constructed data set as a neural network training sample; and training a nonlinear high-order mapping relationship between corresponding input and output quantities of the neural network travel. According to the method, the mapping relation between fluid characteristics and solid characteristic parameters and fluid-solid coupling field physical parameters is established through machine learning, the difficulty of establishing a complex model can be reduced, the efficiency of establishing a unified design process can be improved, and the method can be popularized to different output physical quantities and has good application prospects. A new method is provided for solving a physical model which is high in nonlinearity and complex in equation form, and a new thought is provided for further analyzing the fluid mechanics law of the fluid-solid coupling phenomenon of complex fluid and complex surfaces.

The invention relates to the technical field of hydraulic tunnel reinforced concrete lining structure design, and discloses a high-pressure tunnel permeable lining structure optimization design method and system. The method comprises the following steps: firstly, determining a two-dimensional grid generation mode; establishing a mesh model for finite element calculation of the permeable lining based on the generation mode; constructing a permeable lining calculation model based on the grid model, and calculating influence parameters and target parameters of structural safety indexes based on the permeable lining calculation model; establishing a permeable lining structure economic performance equation based on the actual economic influence factors; and constructing a permeable lining optimization design equation set based on the influence parameters, the target parameters and the permeable lining structure economic performance equation, and solving to obtain an optimization design scheme. In this way, the influence of multiple factors is considered, and rapid and accurate optimization design of the high-pressure water-permeable lining structure can be achieved.

The application discloses a kind of soft actuator viscoelastic behavior intelligent prediction method based on large language model, belong to soft robot control technical field.Method includes: pre-training stage, first explain the acquisition method of pre-training dataset, then show the memory decay network architecture and related mechanics constraint of self-constructing, finally expounds the method of embedding the viscoelastic constitutive model represented by memory decay network containing mechanics constraint into finite element calculation framework;Fine-tuning stage, first explain the acquisition method of fine-tuning dataset, then compare the performance of pre-training model on fine-tuning dataset, and fine-tune pre-training model parameters using intelligent algorithm;Reasoning stage, show the ability of fine-tuned model to predict the viscoelastic mechanical behavior of soft actuators under different complex working conditions and its generalization ability.The application can accurately predict the complex viscoelastic behavior of soft actuators under short-time and long-time action, and can ensure the prediction accuracy when considering the influence of gravity.

The invention relates to a power component service life evaluation method and system and a storage medium. The power part especially refers to a nuclear turbine long blade. The method comprises the following steps: S1, monitoring the vibration displacement of a predetermined blade flutter area, and carrying out finite element calculation by taking the vibration displacement as a boundary condition to obtain the theoretical vibration stress distribution of the whole blade; and S2, correcting the theoretical vibration stress distribution according to a predetermined correction relation to obtain the actual vibration stress distribution of the whole blade. And S3, based on the actual vibration stress distribution, the fatigue strength coefficient of the blade material, the fatigue strength index of the blade material and the time when the blade enters the flutter area, obtaining an accumulated damage value of the blade. And S4, calculating the residual fatigue life of the blade according to the accumulated damage value. According to the method, the blade life evaluation range is more accurate, the collected data is more accurate, and a reliable basis is provided for safe operation and maintenance of a nuclear turbine.