183 results about "Theoretical models" patented technology

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 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 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 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 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 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 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 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.

This invention discloses a method, device, and medium for simulating biomagnetic field measurement results. The method includes: determining a corresponding theoretical model based on the properties of the biomagnetic field to be simulated; simulating the biomagnetic field using the theoretical model to obtain a simulated biomagnetic field; acquiring the index parameters of a measuring instrument; and simulating the biomagnetic field based on the index parameters of the measuring instrument to obtain simulated measurement results. This invention solves the problem that traditional biomagnetic field simulations do not consider the influence of the performance and technical specifications of the measuring instrument itself on the biomagnetic field measurement results. It can more realistically and directly simulate the results of measuring biomagnetic fields using different measuring instruments, considering the influence of the technical specifications of the measuring instrument on the biomagnetic field measurement results from multiple dimensions.

The application provides a method for calculating interface polarization charge and current distribution based on reflection coefficient, and relates to the technical field of computational electromagnetics. The method comprises the following steps: establishing a reflection coefficient-dielectric parameter mapping, directly correlating the reflection characteristics of electromagnetic waves with the intrinsic parameters of the medium through a reflection coefficient formula, and laying a physical foundation for polarization analysis; interface electromagnetic field reconstruction, using boundary conditions and constitutive relations to determine the electric field distribution on both sides of the interface and the corresponding polarization intensity. The distribution rule of the electromagnetic field in the medium is determined, the macroscopic electric field is converted into the spatial description of the polarization intensity, and an intermediate variable is provided for charge and current calculation; polarization dynamic response quantification, through the spatial and temporal derivatives of the polarization intensity, the interface polarization charge density and the polarization current density are derived. The theoretical model is converted into actual physical quantities, and the dynamic response mechanism of charges and currents when electromagnetic waves interact with the medium is revealed.

The application discloses a reinforced retaining wall reinforcement failure determination method based on apparent displacement monitoring, and comprises the following steps: S1, determining the apparent displacement of the monitoring point of the reinforced retaining wall on site, and performing on-site investigation; S2, screening, classifying, interpolating and integrating by using the Kriging method; S3, constructing a theoretical model of the reinforced retaining wall, and determining the theoretical distribution range of the elastic modulus of the reinforcement material; S4, performing numerical simulation analysis on the theoretical model of the reinforced retaining wall, and obtaining the corresponding analysis result of the target displacement; S5, establishing a neural network model, and learning the mapping relationship between the layered reinforcement material elastic modulus and the surface monitoring point displacement; S6, obtaining the elastic modulus of the layered reinforcement material through the neural network model inversion; and S7, analyzing the relative relationship between the elastic modulus of the reinforcement material and the elastic modulus of the soil, and predicting whether the pull-out failure occurs. The application can accurately capture the actual working state of the retaining wall, and realizes comprehensive evaluation and failure prediction on the stability of the reinforced retaining wall.

This invention belongs to the field of simulation correction technology and discloses a finite element simulation correction method and system for the vibration response of a structure excited by turbulent boundary layer. The method includes: obtaining a turbulent cross-spectral expression as input based on CFD calculations or a classical turbulent cross-spectral model; obtaining analytical results of the vibration displacement, velocity, or acceleration response based on the theoretical model of the vibration response of an elastic plate under turbulent boundary layer excitation using the modal superposition method; obtaining numerical results of the vibration displacement, velocity, or acceleration response based on the spatial discretization of the elastic plate and the numerical model of the plate vibration response under turbulent boundary layer excitation; subtracting the analytical results from the numerical results at the corresponding frequencies to obtain a correction amount for the finite element simulation results of the vibration response of the structure excited by turbulent boundary layer; and subtracting the correction amount from the finite element simulation results of the displacement, velocity, or acceleration response of the turbulent-excited structure to obtain the final correct structural response result.

The application discloses a core model correction method and device based on data assimilation, and equipment, the method can change the characteristics of the power level of each component in the core by adjusting the characteristic parameters, and the accuracy of the core theoretical model after correction in simulating the theoretical power level of the component can be improved by parameter assimilation of the parameter values of the characteristic parameters in the core theoretical model; and if at least one of the first characteristic parameters which do not change with the nuclear reactor unit operation is corrected in the first i-1 core theoretical model correction processes, it is proved that the first characteristic parameters at each component in the i-1 corrected core theoretical model have reached balance and solidification, interference of the parameters in the i correction process can be avoided, and the accuracy of the core theoretical model after the i correction in simulating the theoretical power level of the component can be improved.

The invention belongs to the technical field of composite material structural part manufacturing, and particularly relates to a three-dimensional model compensation method for controlling curing deformation of a composite material product. Comprising the following steps that 1, the curing deformation state of a composite product is obtained; step 2, carrying out registration and alignment on the solidification deformation state and the theoretical model to obtain a relative position relation; 3, calculating according to the relative position relation to obtain a deformation compensation amount; 4, a shape optimizer is adopted, the theoretical model is compensated through the deformation compensation amount, and a three-dimensional compensation model is established; and 5, a composite material forming tool is designed according to the three-dimensional compensation model. According to the method for establishing the curing deformation point cloud analysis data of the composite material piece, the matching relation between the curing deformation state of the composite material piece with a complex shape and large deformation amount and a theoretical model is accurately obtained through a registration and alignment mode of the point cloud data (curing deformation state) based on model characteristics and the theoretical model.

The application relates to the technical field of particle flow simulation, in particular to a CAE simulation method for C-type particle flow state based on a double Euler model, which defines model parameters under a secondary agglomeration theoretical model according to the agglomeration mechanism of C-type particles from initial agglomeration to secondary agglomeration, the model parameters including particle phase diameter, particle phase density, particle phase volume fraction and particle phase shear viscosity, thereby establishing a local dynamic agglomeration particle model (LDAP model) for C-type particles based on an Euler multiphase flow model, and performing C-type particle flow state simulation; the method can realize the setting of numerical simulation conditions and the simulation of the flow behavior of C-type particles through simple flow field calibration and parameter setting, can intuitively reflect the real-time state of the particle agglomerate diameter at any local position in the flow field, has higher accuracy in describing the motion state of particles and gas under the condition of particle agglomerate diameter difference, and can balance the calculation efficiency without increasing the number of particle phases for varying particle diameters.

The application discloses a kind of multi-element doped system simulation methods for improving the performance of 2:17 type samarium-cobalt permanent magnet, comprising: step one, using the Visualizer module of material calculation software to establish the theoretical model of 2:17 type rare earth cobalt permanent magnet material;Step two, based on the GO module of quantum chemistry calculation software, the theoretical model of different doped systems is analyzed, and then the system with stronger magnetism is found;Based on the quantum chemistry calculation software, the doped model and virtual crystal approximation model of different doped ratios are established to obtain the better doped ratio by comparison.The application discloses a kind of multi-element doped system simulation methods for improving the performance of 2:17 type samarium-cobalt permanent magnet, the theoretical research of the characteristics of rare earth cobalt permanent magnet material itself and doping characteristics is carried out through the first principle, through the implementation of the project, the theoretical analysis of rare earth cobalt permanent magnet material is formed, which provides design idea for developing rare earth cobalt permanent magnet material with better system performance.

This invention relates to a high-precision, cost-effective method for manufacturing open, curved integral thin-shell shells, belonging to the field of advanced manufacturing. It solves the problem that existing methods struggle to simultaneously achieve low cost, high efficiency, and high precision when manufacturing open, curved integral thin-shell shells. The method includes the following steps: S1, establishing a theoretical model of the thin-shell; S2, performing finite element simulation of subsequent assembly processes on the thin-shell; S3, performing finite element simulation of the mold during heating; S4, digitally unfolding the reconstructed thin-shell model to obtain an accurate planar unfolded model of the thin-shell. This invention, through multiple key steps such as thin-shell reconstruction, mold reconstruction and / or differential temperature design, and conversion of the three-dimensional thin-shell model into a planar unfolded model, can effectively improve the manufacturing efficiency of thin-shell shells, shortening the processing cycle by more than 75%; reducing costs by more than 80%; and improving the precision of thin-shell manufacturing, with product surface accuracy reaching the order of 0.3mm / 1000mm.

This invention discloses a method and system for testing rock pore size distribution curves based on nuclear magnetic resonance (NMR) technology. The method includes: preprocessing the rock sample to be tested and obtaining the porosity and transverse relaxation time curves of the sample at room temperature and low temperature; obtaining the measured value of unfrozen water content by the ratio of low-temperature to room-temperature porosity, serving as an objective benchmark for verifying theoretical results; converting the room-temperature relaxation curve into a cumulative pore size distribution curve, fitting and extracting pore characteristic parameters, and substituting relevant characteristic parameters into a theoretical model to calculate the theoretical value of unfrozen water content; iteratively optimizing the transverse surface relaxation rate to ensure the deviation between the theoretical and measured values ​​meets accuracy requirements; establishing a precise correspondence between relaxation time and pore radius; and outputting the final pore size distribution curve. Each step is interconnected and mutually supportive, forming a complete logical closed loop. This provides reliable technical support for characterizing rock pore structure.

The invention provides a method and a device for calculating critical stress under two-way compression of a wallboard, and belongs to the technical field of airplane structural strength analysis. The method comprises the following steps: establishing a theoretical model of a wallboard in a bidirectional compression state, and obtaining structural parameters of the wallboard; based on the theoretical model of the wallboard in the bidirectional compression state, constructing a buckling condition expression of the wallboard in the bidirectional compression state; constructing a critical coefficient expression, and determining a minimum critical coefficient under a specified longitudinal-transverse load ratio based on the critical coefficient expression; and obtaining a critical stress expression of the wallboard under bidirectional pressure based on the critical coefficient expression and the buckling condition expression, and calculating the critical stress of the wallboard under bidirectional pressure based on the structural parameters of the wallboard and the minimum critical coefficient. According to the method, the critical pressure can be conveniently calculated, and a theoretical support is provided for the stability of the wallboard under bidirectional compression.

The invention discloses a tension-torsion multi-axial fatigue experiment device and method based on synchrotron radiation and neutrons. The experimental device comprises a base, a lower cavity, an acrylic / aluminum alloy projection window, an upper cavity, a supporting rod, a supporting plate, a hydraulic actuator, an upper connecting rod, a load sensor, an upper clamp, a multi-axial fatigue sample, a lower clamp, an angle sensor, a lower connecting rod, a torsion servo motor, a motor controller, an advanced light source receiver, an advanced light source entrance slit and the like. And performing macroscopic three-dimensional damage distribution characterization and microstructure evolution and damage evolution process experiments in the sample by penetrating the metal sample through X-rays and neutron beams. The method provides direct and reliable experimental data support for establishing a multi-axial fatigue theoretical model, revealing a material failure mechanism and engineering structure anti-fatigue design.

The application provides a differential pressure transmitter comprehensive compensation method based on Kriging interpolation and cubic spline interpolation, which comprises the following steps: measuring the calibration output voltage of a differential pressure transmitter at multiple temperature calibration points, static pressure calibration points and differential pressure calibration points to obtain data calibration points; fitting a variogram function theoretical model by using Kriging interpolation and obtaining a compensation matrix; establishing an output voltage model by using cubic spline interpolation; when the measured value of the ambient temperature is a temperature calibration point, the measured value of the static pressure is directly brought into the output voltage model to obtain a theoretical voltage, three calibration output voltages adjacent to the theoretical voltage are selected, a differential pressure function relationship is established by using cubic spline interpolation, and the measured output voltage is brought into the differential pressure function relationship to obtain a to-be-measured differential pressure; when the measured value of the ambient temperature is not a temperature calibration point, a compensation coefficient is determined by using the variogram function theoretical model, and the to-be-measured differential pressure is calculated by using the compensation coefficient. The application adopts cubic spline interpolation at the modeling temperature and adopts Kriging interpolation at the non-modeling temperature, so that the algorithm with large calculation amount can be used to improve the compensation precision, the repeated interpolation at each temperature and static pressure interval is avoided, the workload is reduced, and the real-time performance of the compensation is improved.

The invention relates to the field of composite material structure design and gear structure design, in particular to a multi-material on-demand fixed-point design method based on heterogeneous interface action. In order to solve the bottleneck of multifunctional collaborative design, the method comprises the following steps of: 1, determining a model type by utilizing structures and material types in a database according to expected requirements, and establishing a three-dimensional model; 2, systematically researching the influence rule of the stress and the performance of the heterogeneous interface on the three-dimensional model by adopting a finite element and micro-scale experiment combination mode; 3, revealing the action mechanism of interface macroconfiguration, microstructure and chemical bond connection, and constructing a theoretical model and a design criterion of a multi-material heterogeneous interface fusion process; 4, establishing a multi-material digital model by combining solid-liquid interface fluid dynamics and a chemical energy transfer rule; and 5, in combination with multi-material voxelization modeling and a three-dimensional gridding technology, developing a distribution model of the adjustable material.

The invention discloses a tool wear rule model construction method. The invention relates to the field of shield cutter wear rule research, and solves the problems that an existing method is complex in model construction, is easily interfered by working condition fluctuation in practical application, and is insufficient in prediction stability. The method comprises the following steps: acquiring wear loss data of a tool changing point of a practical engineering tool, and establishing a practical engineering wear rule model by using a K-means clustering and quadratic fitting method; based on a CSM model of approximate constant-section hob rock breaking force and a Rabinowicz abrasive wear equation, a theoretical model of a wear rule is established; establishing a blade yield strength change model for the blade yield strength in the theoretical model; and the blade width change model and the blade yield strength change model are added into the theoretical model to obtain a corrected tool wear rule model, and the model can provide accurate data support for tool replacement cycle planning in shield tunneling construction.

The application relates to the technical field of permeability calculation, and discloses a permeability calculation method for a circular cross-section ferrite magnetic core in a toroidal inductor; when the magnetic field intensity is calculated, high-frequency analysis is carried out based on Maxwell equations, the characteristic that the magnetic field in the circular cross-section ferrite magnetic core in the toroidal inductor is uniform is used, and a virtual variable Bessel equation is derived based on a cylindrical coordinate system, and the magnetic field intensity calculation model is obtained by solving the equation, so that the limitation that the traditional measurement method needs to depend on a measuring device is broken. When the electric field intensity is calculated, the electric field intensity calculation model is obtained based on the relationship between the electric field intensity and the magnetic field intensity in the Maxwell equations. Based on the calculated magnetic field intensity and electric field intensity, the complex power of the toroidal inductor is calculated, and then the permeability prediction model is obtained in combination with an equivalent circuit model. The application is based on theoretical model calculation, is not limited by specific frequency bands and measuring instruments, is also applicable in a high-frequency range, and the predicted permeability is more accurate.