280 results about "Theoretical models" patented technology

The invention discloses a laser scanning detection method for gear tooth form errors of gear motors, and belongs to the technical field of industrial optical detection. The method comprises the following steps of: firstly, comprehensively acquiring high-density three-dimensional point cloud data of a pinwheel tooth profile by combining laser scanning and precise rotating motion; secondly, preprocessing the original point cloud, and performing high-precision automatic registration on the actually measured point cloud and the standard three-dimensional CAD theoretical model by using algorithms such as an iterative nearest point; and finally, generating a visual tooth profile error map by calculating the normal deviation between the measured data and the theoretical model point by point, and quantitatively evaluating error parameters. According to the scheme, high-efficiency, high-precision and all-shape nondestructive testing of the gear tooth error is realized, physical contact damage is avoided, and the quality control level and the production efficiency of the core part of the speed reducer are remarkably improved.

The present invention relates to a contour accuracy compensation method and system for a precision hot-press forming mold. The method comprises: delineating grids on a three-dimensional model of a hot-press forming mold to obtain mold surface grid data; performing curvature analysis to obtain a high-curvature region and a low-curvature region; performing high-density sampling on the high-curvature region, and performing low-density sampling on the low-curvature region, so as to obtain a sampling point set; using a coordinate measuring machine to perform three-dimensional coordinate measurement on the sampling point set to obtain surface contour data; performing comparative analysis on the surface contour data and a theoretical model to obtain a contour error distribution; on the basis of the contour error distribution, using an inverse distance weighted interpolation algorithm to perform interpolation operation on an entire mold surface to obtain a mold surface compensation amount distribution; and on the basis of the mold surface compensation amount distribution, correcting the three-dimensional model of the hot-press forming mold to generate a compensated mold processing model. The implementation of the present invention realizes intelligent and automated contour accuracy compensation.

The invention discloses a precision self-calibration method and system for a current transformer, and relates to the technical field of current transformer calibration, and the method comprises the steps: collecting and obtaining primary side current data, secondary side current data, a transformer environment data flow and a load change data flow; establishing a theoretical model of the current transformer, performing precision deviation evaluation on the primary side current data, the secondary side current data, the transformer environment data flow and the load change data flow based on the theoretical model of the current transformer, and determining precision deviation parameters of the current transformer; and carrying out calibration analysis on the current transformer precision deviation parameter based on a current transformer calibration strategy, determining a self-calibration correction parameter, and carrying out closed-loop self-calibration control on the target current mutual inductance. The technical effects of performing adaptive calibration on the current transformer in combination with various working condition factors, improving the reliability and stability of calibration of the current transformer and ensuring the measurement precision of the current transformer are achieved.

The invention discloses an inverted coplanarity detection method based on 3D vision and refraction compensation, and the method comprises the following steps: 1, selecting an optical measuring head of which the measuring range can cover the whole bottom surface of a measured object according to the size of the bottom surface of the measured object, installing the optical measuring head below glass, and enabling light to penetrate through the glass from bottom to top; 2, establishing a glass refraction compensation model; 3, correcting the glass refraction compensation model; 4, collecting three-dimensional point cloud data of the bottom surface of the measured object; 5, point cloud extraction and processing; step 6, calculating and evaluating the coplanarity; and 7, repeating the steps 4-6 to realize coplanarity analysis under different conditions. Through fusion of a theoretical model and experimental calibration, nonlinear error measurement caused by factors such as glass refraction and non-ideal installation is solved, the measurement precision is improved, the reference plane is established by adopting a minimum area method, the coplanarity evaluation reasonability is improved, and the method can be expanded and applied to all occasions needing to measure the coplanarity of the bottom structure from bottom to top.

The invention relates to a multi-pole magnetic field magnetizing test method and a spiral winding group thereof, and relates to the field of automatic magnetizing technology, and the method comprises the steps: constructing a test model, importing design parameters of a magnet to be tested, determining a multi-pole magnetic field distribution theoretical model, and defining a magnetic pole region and a key feature contour line; acquiring magnetic field data, scanning the surface of the magnetized magnet by using an array probe, and acquiring magnetic field intensity actual measurement data of a multi-dimensional coordinate; matching a magnetic pole contour, comparing an actually measured contour line with a theoretical contour line, and establishing sampling point mapping; correcting the deviation data, screening the deviation sampling points exceeding the threshold value, and determining magnetizing process adjustment parameters; and evaluating the magnetizing efficiency, carrying out iterative magnetizing based on the correction parameters, and generating an evaluation report containing indexes such as magnetic field uniformity and the like. The method has the effect of improving the magnetic field intensity and stability of the magnet during orientation magnetization.

The invention provides a method, a medium and a system for calculating ocean wave spectrum parameters of ocean digital twinning, and belongs to the technical field of electrical digital data processing. The method comprises the following steps: acquiring and preprocessing original sea wave spectrum data, selecting a Jonswap frequency sea wave spectrum as a theoretical model, establishing a multi-index fitting criterion, optimizing and solving a peak rise factor parameter, performing statistical analysis according to a significant wave high period level, and distinguishing sea wave spectrum characteristics of typhoon and non-typhoon working conditions. And calculating the wave amplitude wave number and the random phase to construct a wave surface height model, and finally forming a sea wave spectrum parameter database. The technical problem that sea wave spectrum parameters in the ocean digital twinning system are difficult to accurately describe and calculate is solved, the extreme sea condition simulation capability is particularly optimized, and high-precision sea wave field simulation technical support is provided for the ocean digital twinning system.

The embodiment of the invention provides a monitoring device and method for strain transmission from a crack to an optical fiber in a fracturing experiment, and belongs to the technical field of experimental physical simulation. In the device, a pressure medium injection module injects fracturing fluid into a sealed liquid injection shaft arranged on a rock sample until a fracturing crack generated by the rock sample meets the fracturing experiment purpose; the triaxial pressurization module applies confining pressure conforming to the stress condition of the experimental object to the rock sample; and the data processing module receives and processes the optical fiber strain signal acquired by the optical fiber so as to invert the transmission characteristics of the optical fiber strain in the fracturing experiment. Wherein the rock sample is provided with a plurality of penetrating holes; the optical fiber is wound around the rock sample along two or more of the plurality of through holes to acquire the optical fiber strain signal. The device can accurately position the three-dimensional expansion direction and the inclination angle of the crack in the fracturing process, so that researchers are helped to finely analyze a theoretical model of crack stress transfer.

The invention discloses a design method of a star simulator three-dimensional divertor target plate, and belongs to the technical field of magnetic confinement fusion. The method comprises the following steps: firstly, deducing a circumferential thermal load uniformity theoretical model, then, calculating background information required by target plate generation, and finally, carrying out target plate generation by using the obtained background information and the circumferential thermal load uniformity theoretical model. The target plate is generated based on parameter control, the target plate capable of achieving uniform distribution of the circumferential thermal load is provided, the circumferential uniform distribution of the thermal load of the divertor target plate can be effectively improved, and the peak value of the thermal load of the divertor target plate can be effectively reduced. The target plate generated by the method conforms to standard output formats among different analog calculations. Data can be conveniently transmitted between integrated simulation platforms, and the working process is simplified. The divertor target plate is generated on the basis of the basic physical assumption that the magnetic lines of the magnetic field and the heat flow are attenuated along the radial position, and the method is suitable for all star simulator devices with three-dimensional magnetic island structures and has universal applicability.

The invention belongs to the technical field of make-up torque calculation, and discloses a casing direct connection screwed joint make-up torque prediction method, through an empirical formula formed by fitting of a structural mechanical model and test data, the casing direct connection screwed joint make-up torque can be calculated directly by measuring steel pipe basic structure parameters, repeated tests are not needed, and the prediction accuracy is high. And the working efficiency is greatly improved. The prediction process only depends on basic structure parameters capable of being rapidly measured and is not limited by working conditions. A fitting formula comes from verification of a large amount of test data and theoretical models, and precision and universality are both considered; and multi-parameter factor comprehensive modeling is adopted, errors caused by a single factor are effectively eliminated, the accuracy of a prediction result is high, and the stability and reliability of torque prediction are improved. By reasonably predicting the screwing-on torque, the connection strength of the steel pipe is effectively guaranteed, and underground potential safety hazards caused by improper screwing or excessive screwing are avoided, so that the integrity of a shaft structure and the safety of construction operation are guaranteed.

The invention provides a method for analyzing femtosecond laser-induced damage behaviors on the surface of a Zn-doped KDP crystal, and belongs to the technical field of engineering optics based on computer data processing. The method comprises the following steps: firstly, respectively analyzing the influence of the Zn doping amount on the band gap and electroacoustic coupling of the KDP crystal through an ultraviolet-visible absorption spectrum and a Brillouin light scattering spectrum; then constructing a one-dimensional model, respectively simulating the electron density, lattice temperature and time evolution of electron temperature on the surface of the Zn-doped KDP crystal under femtosecond laser irradiation through an electron density accumulation rate equation and a double-temperature model, and theoretically analyzing the influence of the Zn doping amount on the damage behavior of the surface of the KDP crystal. And a theoretical model for calculating the femtosecond laser induced damage threshold is established, so that the optimal doping amount of Zn is determined in a lossless manner. A real sample is not contacted, so that the sample utilization rate is improved; the simulation process is more stable and controllable, and the data repeatability is high; and the research period can be shortened, and optimal doping amount screening is accelerated.

The invention belongs to the field of fault diagnosis, and particularly discloses a friction pair wear state observation method and system based on online abrasive particle detection. According to the method, the dynamic modeling method on the macroscale and the model parameter estimation method combining the abrasive particle information and the machine learning thought are used, so that the initial state and the model parameters of the model can be further obtained on the basis of the theoretical model; according to the wear state observation method, the limitation that a microscopic model is prone to falling into actual wear complexity can be overcome, and a macrodynamic model capable of representing the actual wear state can be obtained through data-driven parameter estimation, so that the wear process of a mechanical system is diagnosed in real time by utilizing online abrasive particle detection information; and the purpose of tracking and predicting the wear state is achieved.

The invention provides a calibration process and a calibration block of a contourgraph, and relates to the technical field of contour parameter calibration, in the calibration process of the contourgraph, first scanning data is obtained by scanning a gauge block calibration part of the calibration block, second scanning data is obtained by scanning a standard ball calibration part of the calibration block, and the first scanning data and the second scanning data are obtained based on a physical model among a probe, a rotating shaft and a sensor. The measuring height difference between the first calibration plane and the second calibration plane, the straightness of the inclined plane, the measuring diameter of the fitting circle, the actual height difference of the gauge block calibration part and the actual diameter of the standard ball calibration part are calculated, and the position relation among the probe, the rotating shaft and the sensor is calculated at least with the minimum straightness of the inclined plane as the constraint. The calibration data not only have the height of the gauge block and the diameter of the standard ball, but also introduce the straightness of the inclined plane, and the calibration data is increased, so that the calibration precision is improved, and the nonlinear error caused by the difference between a mechanical structure and a theoretical model can be reduced.

The present invention provides a geophysical identification method for mid-deep undercompacted low-velocity mudstone. By statistically analyzing data, representative P-wave velocity, S-wave velocity, and density of low-velocity mudstone and gas-bearing sandstone in well logging data are obtained. Combining geological information, a theoretical model of the superimposed relationship between low-velocity mudstone and gas-bearing sandstone is designed, and convolution forward modeling and prestack forward modeling are carried out on it. The post-stack and prestack seismic attributes of the model are calculated respectively. Then, sensitive attributes are optimized from these attributes, and the obtained sensitive attributes are used as learning samples, and the superimposed relationship is identified by probability self-organizing neural network clustering. The present invention adds prestack attributes to the optimization of sensitive attributes, making the fuzzy self-organizing neural network more accurate in identifying the superimposed relationship between gas-bearing sandstone and low-velocity mudstone, effectively distinguishing low-velocity mudstone from gas-bearing sandstone, and providing support for subsequent effective reservoir prediction.

The invention provides a spoke polishing track generation method based on point cloud and theoretical model fusion, and relates to the field of spoke polishing, comprising the following steps: scanning an actual hub workpiece to obtain an actual contour point cloud Ps of a spoke; obtaining a theoretical contour point cloud Pt according to the theoretical model of the hub; iCP registration is carried out on the actual contour point cloud and the theoretical contour point cloud, the theoretical model is converted into an actual measurement coordinate system of the hub workpiece, the converted theoretical contour point cloud is obtained, the actual contour point cloud Ps is compared with the theoretical contour point cloud to remove abnormal points in the actual contour point cloud Ps, and the filtered actual contour point cloud is obtained; non-rigid deformation registration between the actual contour point cloud and the theoretical contour point cloud is achieved through a CPD algorithm, the contour point cloud is obtained, and a polishing track is generated according to the contour point cloud. The polishing precision and stability can be effectively improved.

The invention relates to the technical field of power system modeling and simulation, in particular to a load model identification error analysis method, device and equipment and a storage medium, and the method comprises the steps: obtaining the prediction output and the measurement output of a preset load model, and building a target function based on the error between the prediction output and the measurement output; decomposing the measurement output to obtain an actual output and a noise component of a preset load model; and based on the objective function and the actual output, establishing a linear model between the identification error of the preset load model and the noise component through a first-order approximation method, and performing linear regression according to the linear model to obtain an analysis result of the identification error. Therefore, by constructing the theoretical model of the load model identification error, the problems that the identification error is difficult to predict, the data processing strategy selection lacks theoretical guidance and the like in related technologies are solved, and a theoretical basis is provided for selecting an optimal load modeling data processing strategy.

The invention discloses a method for determining mechanical property parameters of a bent pipe and related equipment, and relates to the technical field of metal plastic working.The method comprises the steps that according to initial mechanical property parameters of a bent pipe plate, a first forming limit curve of the bent pipe plate is determined through an alternative theoretical model; determining a target theoretical model in the alternative theoretical models according to the first forming limit curve and the second forming limit curve; on the basis of the target theoretical model, a finite element simulation model for bent pipe forming is established, simulation is conducted, and a simulation result is obtained; optimizing the first forming limit curve according to the simulation result to obtain a third forming limit curve; and on the basis of the third forming limit curve and the target theoretical model, target mechanical property parameters of the bent pipe plate are obtained through reverse calculation. According to the method, experimental data and a theoretical model are combined, the forming limit curve is optimized, the pipe bending success rate is increased through simulation analysis, the optimal material mechanical property parameters are reversely calculated, the optimal matching of the material and the process can be achieved, and the cracking risk and the rejection rate are reduced.

The present invention provides a method for finely characterizing a theoretical model of a flow field in a high-water-cut reservoir. The method comprises the following steps: step 1, characterizing a flow field of streamline clusters; step 2, characterizing a dominant potential abundance; step 3, characterizing an instantaneous displacement intensity field; step 4, characterizing a flow heterogeneity field; and step 5, establishing a theoretical model of the flow field. Based on parameters characterizing the reservoir flow field, the weight distribution of each parameter in a prediction process is determined using an entropy weight method, thereby forming a theoretical formula for flow field reconstruction to enhance oil recovery. The method for finely characterizing a theoretical model of a flow field in a high-water-cut reservoir can conveniently, accurately, quickly, and effectively define the development effect of a high-water-cut reservoir, evaluate the flow field reconstruction capability based on a flow field reconstruction enhanced oil recovery evaluation index, and achieve important economic benefits in enhancing oil recovery and improving development effects in mature oil fields.

The invention provides a self-adaptive positioning method and system for an irregular part machine tool spindle, and relates to the technical field of machine tool spindle positioning control. The method comprises the following steps: acquiring an actual measurement local feature set and a theoretical local feature set according to an actual measurement point cloud and a theoretical model point cloud of an irregular part; matching the actually measured local feature set with the theoretical local feature set to obtain a potential corresponding relation set; obtaining a reliable corresponding relation set according to the potential corresponding relation set; calculating an initial pose of the preprocessed point cloud relative to the theoretical model point cloud according to the reliable corresponding relation set; according to the initial pose, obtaining a final pose of the preprocessed point cloud relative to the theoretical model point cloud; and controlling the machine tool spindle to perform self-adaptive positioning according to the final pose. According to the method, the limitation of a traditional alignment method based on specific reference features is overcome, and accurate alignment of the actual poses of the parts and the theoretical model is achieved under the condition that the production takt requirement for rapid positioning is met.

The invention is suitable for the technical field of optical design parameter optimization, and provides a design parameter optimization method and system for a long-optical-path gas absorption cell, and the method comprises the following steps: carrying out the theoretical verification of the feasibility of the lens parameters of a spherical reflector based on a theoretical model of a light propagation matrix, and obtaining the design parameters of the spherical reflector; determining an initial lens parameter and a key design parameter range; an optical cavity model composed of two spherical reflectors is established, and automatic ray tracing simulation is carried out according to the initial lens parameters, the key design parameter range and a preset stepping value; the simulation data are verified, the number of light spots is determined, and the optimal key design parameter combination enabling the optical path to be maximized is screened out according to the number of the light spots. The method is mainly used for designing a long-optical-path gas absorption cell in infrared absorption spectrum trace gas sensor detection, has practical significance, realizes verification of optimal design parameters, reduces development difficulty and improves development efficiency.

The invention discloses an electric arc additive lamination parameter real-time regulation and control system and method based on reverse modeling, and the method comprises the steps: obtaining data in an additive process through a data obtaining unit, carrying out the comparison with a theoretical model, obtaining defect data in an additive, carrying out the analysis, recognizing the defect type and severity, and carrying out the real-time regulation and control of the parameters. And in combination with information such as molten pool parameters, temperature field parameters, melt channel defects and component forming deviation, follow-up electric arc additive lamination parameters are corrected through parameter self-adaptive adjustment, and real-time automatic regulation and control of the lamination parameters in the electric arc additive process are achieved. The method has good generalization ability, is suitable for large complex components, and improves the stability of the electric arc additive process, reduces the defects of the electric arc additive component and improves the performance and quality of the electric arc additive component by automatically regulating and controlling parameters in the electric arc additive process in real time.

The invention discloses a method for calculating the diffusion coefficient of an electrode material, which comprises the following steps: establishing a Fick diffusion law-based constant current gap titration (GITT) theoretical model, and describing the concentration distribution of ions in the electrode material; solving a partial differential equation in the GITT theoretical model through Laplace transformation to obtain an analytical expression of ion concentration; obtaining a diffusion coefficient calculation formula suitable for a full time range; verifying the accuracy of the diffusion coefficient calculation formula through numerical simulation; and a concentration-based diffusion coefficient expression is converted into a voltage-based diffusion coefficient expression, so that processing and analysis of experimental data are facilitated. The method for calculating the diffusion coefficient of the electrode material, provided by the invention, is based on a constant current gap titration technology, is suitable for full-range data, extracts experimental data, calculates a voltage difference, selects an optimal formula and generates a visual image through an automatic program, and remarkably improves the calculation precision of the diffusion coefficient and the processing efficiency of the experimental data.

The invention discloses a rock mass damage identification method and system for carbon dioxide blasting dynamic disturbance. The method comprises the steps that a blasting vibration and micro-fracture signal sequence is obtained; the theoretical model and historical statistics are fused, and a theoretical dynamic load time history and an expected vibration response baseline are generated through inversion; through multi-sensor signal fusion, identifying a main vibration phase and defining a precursor and aftereffect analysis window; calculating multi-dimensional quantitative characteristics of the micro-fracture activity in the window; identifying a dynamic disturbance abnormal region based on double baseline comparison; a multi-dimensional quantitative coupling model of space, time and energy evolution is established, and a newly-added damage area of the rock mass is accurately judged; and finally, judging a damage dominant mechanism by combining pre-effect and post-effect feature correlation analysis. According to the method, the problems that a traditional method is difficult to distinguish blasting induced damage and background activity, and accurate damage positioning and mechanism judgment cannot be achieved are solved, the accuracy, reliability and engineering practicability of damage identification are remarkably improved, and intelligent decision support is provided for blasting effect evaluation.

Disclosed is a theoretical model constraint and data-driven fusion-based micro-seismic quantitative prediction method, comprising: 1, obtaining original micro-seismic data of a coal mine working face to form an initial sample data set; 2, performing data preprocessing, and dividing into a training set and a test set; 3, constructing a long short-term memory (LSTM) model; 4, sampling historical micro-seismic data for a micro-seismic event quantitative prediction sample; 5, constructing a multi-objective optimization model containing seven sub-objective functions: a micro-seismic time fractal dimension, a micro-seismic space fractal dimension, a micro-seismic energy fractal dimension, a micro-seismic prediction total energy, a micro-seismic reconstruction mining stress, a micro-seismic activity process and a micro-seismic energy-frequency power law b value; and 6, finding an optimal sampling sample to act as a prediction value. By means of the described steps, the present invention achieves theoretical model constraint and data-driven fusion-based micro-seismic event quantitative prediction. The prediction effect is good, and the prediction result can effectively guide on-site production activity process control and implement pressure relief measures and disaster early warning.

The invention relates to the technical field of ultrasonic guided wave nondestructive testing, and particularly discloses an arched concrete filled steel tube bridge detection method based on ultrasonic guided wave frequency dispersion characteristics, which adopts a theoretical derivation-simulation verification-experimental analysis method, and comprises the following steps: firstly, establishing a fluctuation characteristic equation based on a rotating coordinate system and a semi-analytical finite element method; deriving a guided wave frequency dispersion equation, obtaining a frequency dispersion curve through numerical calculation, and determining an optimal monitoring mode and an excitation frequency range; a three-dimensional finite element model is constructed for wave field numerical simulation, and the reliability of the model is verified through comparison of a theoretical solution and a simulation solution; then carrying out an ultrasonic guided wave detection experiment, collecting a time domain signal and extracting an actually measured frequency dispersion characteristic; and finally establishing theoretical prediction through time-frequency analysis, comparing numerical simulation with experimental data, and verifying the accuracy of a theoretical model in combination with error analysis. The method can accurately detect the defects of the arched concrete-filled steel tube bridge, and improves the reliability and practicability of complex structure damage identification.

The invention discloses a functional gradient coating cone-cylindrical shell high-temperature vibration dynamics modeling and analysis method. The method comprises the following steps: establishing a linear vibration analysis model and a nonlinear vibration model considering temperature and amplitude dependence; identifying material parameters of the functional gradient coating-composite material combined shell and determining a corresponding fitting coefficient; preparing a functional gradient coating, coating the conical-cylindrical shell matrix structure with the functional gradient coating, and measuring geometric and material parameters of the matrix and the coating; building a high-temperature vibration test system, and measuring the dynamic response characteristics of the test piece under normal-temperature and multi-temperature working conditions; the theoretical model is verified based on an experimental test result, and a mechanism of influence of key parameters on the dynamic performance of the functionally gradient coating cone-cylindrical shell structure in a high-temperature vibration environment is further researched. The method has the advantages that calculation is easy and convenient, precision is high, a reliable theoretical tool is provided for thermal shock resistance design and life prediction of the structure in the extreme environment, and service safety and reliability are remarkably improved.

The invention relates to the technical field of fireproof glass production and processing control, in particular to a fireproof glass production and processing parameter monitoring system based on a cloud platform, and the system comprises a theoretical model unit which is used for solving a theoretical process temperature representing an ideal process reference; the deviation quantization unit is used for calculating a model mismatch index; wherein the model mismatch index is used for representing the deviation degree of the actual process temperature and the theoretical process temperature; the state judgment unit is used for comparing and analyzing the model mismatch index and a preset trigger threshold value, generating a systematic deviation signal when the model mismatch index is continuously higher than the trigger threshold value, and otherwise, generating a normal noise signal; the model correction unit is used for generating a dynamic energy absorption coefficient; the compensation control unit is used for generating a prospective compensation control instruction and issuing the prospective compensation control instruction to the heating unit; according to the invention, the accuracy of long-term monitoring and control is ensured, and the stability of the production process is remarkably improved.

The invention discloses a portland cement hydration pore size distribution calculation method and a calculation analyzer, and the method comprises the steps: building a dissolution-precipitation reaction rate calculation formula based on a dissolution-precipitation reaction; establishing a porosity calculation method by considering the volume fraction change of reactants and hydration products in the hydration process of the Portland cement, and establishing a theoretical model of the hydration process of the Portland cement under the multi-scale and multi-physical field action of the porosity change; a theoretical model of cement pore size distribution is established based on a relation between product content and cement hydration characteristics and a stacking theory. The invention fully considers the effects of multiple scales and multiple physical fields, provides a calculation and analysis method for the pore size distribution theoretical model of portland cement hydration, has the advantages of accurate analysis result, convenience, high efficiency and the like, and can provide a new thought and a new tool for state analysis of the whole process of portland cement hydration.

The application discloses a bismaleimide resin performance prediction model training method, a performance prediction method, a structure design method and related products, relates to the technical field of bismaleimide resin, and the performance prediction model training method comprises the following steps: taking a molecular structure as input, taking a test condition as a supplementary input feature, taking a dielectric constant as a label, taking a predicted value of the dielectric constant as output, training a supervised learning model to obtain a dielectric constant prediction model; taking the molecular structure as input, taking melting point data as a label, taking a predicted value of the melting point data as output, training the supervised learning model to obtain a melting point prediction model; and taking the molecular structure as input, taking a 5% thermal decomposition temperature as a label, taking a predicted value of the 5% thermal decomposition temperature as output, training the supervised learning model to obtain a thermal decomposition temperature prediction model. The three prediction models are obtained by training the supervised learning model, so that the performance prediction of the bismaleimide resin material can be realized based on the theoretical model.

The invention discloses an equivalent calculation method for quantitative evaluation of the residual life of an existing pavement and a storage medium, and the method comprises the steps: firstly, determining a bearing threshold value of a lossless pavement structure based on a dual-modulus elastic layered system theory; secondly, a reduction coefficient of typical diseases to the structural strength is quantified through finite element simulation; thirdly, establishing a mathematical relationship model of the maximum effective stress and the fatigue life; then, actual disease information is accurately obtained by combining nondestructive testing technologies such as ground penetrating radar and three-dimensional laser scanning; then, correcting the maximum allowable equivalent stress in a lossless state according to the disease data; and finally, fusing the theoretical model and the traffic load history, and calculating the remaining service life. According to the method, three-dimensional and quantitative analysis on the influence of the diseases is realized through a mechanical response equivalence principle, the accuracy, objectivity and engineering application efficiency of residual life evaluation are remarkably improved, and a reliable basis is provided for scientifically making a road maintenance decision.

The phase structure evolution phase field analysis method in the annealing and crystallization process of the amorphous hafnium oxide-based ferroelectric film comprises the following steps: S1, setting a sequence parameter xi according to the evolution process from an amorphous phase to a crystal phase in the annealing process, and setting a sequence parameter eta according to the process of the crystal phase and the crystal phase; s2, a phase field theoretical model is established, the total free energy is the sum of the free energy of the sequence parameter xi and the free energy of the sequence parameter eta, and the free density in the free energy of the sequence parameter eta is obtained through coupling of the sequence parameter xi and the sequence parameter eta; s3, deducing a weak form of the control equation; and S4, compiling the weak form equation into COMSOL finite element software, solving and analyzing the phase structure in the annealing crystallization process of the thin film. According to the method, the sequence parameter xi representing the transformation process from the amorphous phase to the crystalline phase is introduced and coupled with the sequence parameter eta to construct a new free energy equation and a new control equation, the weak form of the control equation is deduced, and the phase structure and the evolution rule of the hafnium oxide-based ferroelectric film at different annealing moments can be dynamically reproduced.