416 results about "Theoretical models" patented technology

The invention relates to the field of particle size distribution measurement, in particular to a particle size distribution measurement method and system based on machine learning and a light scattering method.The method comprises the steps that a to-be-measured particle sample is irradiated through a light source, and meanwhile light scattering intensity data of different scattering angles and different wavelengths are collected through a multi-angle scattered light detector; constructing a multi-modal deep learning model, and forming an integrated learning architecture in combination with a support vector machine model and a random forest model; inputting the preprocessed multi-wavelength light scattering intensity data into the trained integrated learning architecture to obtain a preliminary particle size distribution result of the to-be-detected particle sample; based on the improved Mie scattering theory, a high-precision theoretical model considering the particle shape, the refractive index, the surface roughness and the internal structure is constructed; an improved Bayesian optimization algorithm is adopted, and the initial particle size distribution result is optimized and adjusted by minimizing the error between the theoretical light scattering intensity and the actually collected light scattering intensity, so that a corrected particle size distribution result is obtained.

The invention discloses a data-mechanism fused airport runway surface water and ice condition prediction method. The method comprises the following steps: establishing a theoretical model of a runway surface temperature field and a water and ice condition; thermal parameter inversion is carried out on the theoretical model based on actually measured data, and a dynamic theoretical model adapted to an actual application scene is obtained through multi-time iteration optimization of model parameters; and utilizing the fused time sequence data and the dynamic theoretical model to predict the water and ice condition on the surface of the airport runway, and providing dynamic evolution information of the icing process. According to the method, the problems of insufficient real-time performance and accuracy of runway icing prediction in the prior art are solved, the icing time, the ice layer thickness and the ice layer range of the runway surface can be accurately predicted, real-time deicing decision support is provided, and the runway operation safety and the airport operation efficiency are effectively improved.

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 a medium metasurface reverse optimization method based on a space coupling mode theory, and relates to the field of optics, and the method comprises the following steps: building a cut-off waveguide array based on a metasurface, calculating a guided mode and a propagation constant of each waveguide according to the cut-off waveguide array, and coupling adjacent waveguides through a coupling matrix, a waveguide array is obtained; an input light field is coupled into a waveguide array, propagation of light in waveguides is simulated based on a spatial coupling mode theory model, and near-field intensity distribution is converted into far-field intensity distribution by using a Rayleigh-Sommerfeld diffraction theory; and calculating the difference between the target intensity and the far-field intensity through a loss function, evaluating the effect of the current metasurface design, and gradually adjusting the geometric parameters of the waveguide unit through an optimization algorithm. According to the method, the problems of efficient modeling and optimization in metasurface design are solved through the space coupling mode theoretical model.

The invention relates to the field of theoretical calculation simulation of a nuclear reactor core state, in particular to a simulation method for dynamic reactor core power distribution measurement and a related product, and the method comprises the following steps: obtaining accurate burnup data; establishing a steady-state reactor core theoretical model based on accurate burnup; solving a three-dimensional neutron kinetic equation by taking the steady-state reactor core theoretical model as an initial state and taking a relation curve of reactor core operation power and operation time as input to obtain a dynamic reactor core theoretical model taking time as a function; inputting the power and time relation corresponding to the power and time relation corresponding to the power plant test plan into the dynamic reactor core theoretical model to obtain a database; according to the method, the steady-state theoretical model is constructed by utilizing accurate burnup data, dynamic reactor core simulation is carried out through a transient reactor core neutronics calculation model and the like, a dynamic reactor core model completely consistent with an actual test state can be generated, and actually measured data of dynamic reactor core power distribution can be directly processed and accepted.

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 invention discloses a mechanical compensation value calculation method and a bending machine numerical control system.The mechanical compensation value calculation method comprises the steps that firstly, a theoretical model is built based on the stress condition of the bending machine in the bending process, deflection curves of a sliding block and the end face of a workbench are solved, deflection curve expressions of the upper end face of the workbench and the sliding block are obtained, and the working condition of uneven stress of the bending machine is considered; further optimizing the theoretical model by analyzing the trend of the deflection curve and the position change of the symmetry axis of the deflection curve, abstracting a deflection curve expression, that is, each item in the expression has an unknown coefficient, performing search optimization by using a genetic algorithm, and determining each item of coefficient; according to the calculation method and system, the deflection change conditions of the bending machine at different bending positions are considered and analyzed, the calculation of the overall deflection deformation and the compensation value of the bending machine is more accurate according to an actual deflection curve optimization theoretical calculation formula, previous bending data are learned through a swarm intelligence optimization algorithm, and the bending accuracy of the bending machine is improved. And continuously optimizing mechanical compensation calculation model parameters.

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 discloses a visual trajectory tracking system and method for a rain enhancement and hail suppression rocket projectile. The system comprises a trajectory tracking system, a data server and a GPS module carried by the rain enhancement and hail suppression rocket projectile. The GPS module transmits flight path data of the rain enhancement and hail suppression rocket projectile to the data server in real time; the trajectory tracking system calls the data in the database server in real time, retrieves and counts the data, and displays the flight state and the real-time trajectory curve of the rocket projectile on a system interface in a visual form by using the retrieved data; according to the invention, based on a mode of combining a theoretical model and actual data, the problem that no signal data cannot be transmitted back in time is solved, and an experiment verifies that a curve combined by actual theoretical data is matched with a curve of complete real-time data; a catalyst sowing path, a rocket projectile flight path and a rocket projectile wreckage drop point can be accurately positioned.

The present invention discloses a method and device for testing the annular tensile stress-strain curve of a pipe, including: determining a theoretical model of the radial force applied by a block rigid die to the inner surface of an annular specimen, thereby obtaining the normal pressure applied to the inner surface of the annular specimen; determining the theoretical model of the annular stress of the annular specimen; a testing machine pushes a right pyramid-shaped pressure head to move downward at a uniform speed, thereby pushing the block rigid die to expand uniformly in the radial direction, causing the annular specimen to undergo equal-diameter bulging; calculating the annular stress according to the load and specimen deformation data, and drawing the annular tensile stress-strain curve of the pipe in combination with the measured annular strain data. The present invention utilizes the surface-to-surface cooperation between the right pyramid-shaped pressure head and the block rigid die, and can quantitatively convert the vertical load applied by the testing machine to the right pyramid-shaped pressure head into the radial force applied by the block rigid die to the inner surface of the annular specimen, thereby achieving the accurate calculation of the normal pressure applied to the annular specimen, thereby directly and accurately testing the annular tensile stress-strain curve of the pipe.

The invention discloses a joint surface contact stiffness calculation method considering interaction of a micro-bulge and a matrix, which is characterized in that additional deformation generated by the matrix is calculated on the basis of an elastic theory and micro-bulge stress analysis, the actual normal deformation of the micro-bulge is obtained, and then the critical sectional areas of plastic deformation, elastic plastic deformation and elastic deformation of the micro-bulge are calculated. The interaction is considered on the basis of previous research, the real contact area and the contact load expression of the joint surface are obtained through integration, and the maximum contact sectional area is obtained according to the actual load condition. The contact stiffness of the joint surface is obtained by integrating the stiffness of the micro-convex bodies with elastic deformation and elastic plasticity, and the accuracy of a theoretical model is verified by comparing modal simulation with an experimental result. Compared with other technologies, the method can more accurately predict the theoretical stiffness value of the joint surface.

The invention provides a skin defect detection method which comprises the following steps: collecting pit defect data and surrounding structure feature data of a skin, the surrounding structure feature data being feature data of a reference object around a pit; structural parameters of the skin are obtained from a preset theoretical model of the skin, and the skin represented by the theoretical model comprises a reference object and does not have defects; according to the pit defect data, the surrounding structure feature data and the structure parameters, defect feature data are obtained through calculation, wherein the defect feature data comprise at least one of the pit position, the pit depth, the pit radius, the pit contour, the pit smoothness and the distance between the pit and the nail line. According to the invention, the efficiency and accuracy of skin defect detection are improved, so that the efficiency and accuracy of skin maintenance are improved.

The invention discloses a light-transmitting film defect detection method and device, equipment, a storage medium and a product, and the method comprises the steps: carrying out the defect detection of a target light-transmitting film, and obtaining the actual light field distribution characteristics of the target light-transmitting film; according to the actual light field distribution characteristics, performing defect parameter inversion on the target light-transmitting film by adopting a preset defect inversion theoretical model to obtain an actual defect result of the target light-transmitting film; wherein the preset defect inversion theoretical model is constructed through theoretical light field distribution characteristics of the light-transmitting film. The preset defect inversion theoretical model can be constructed based on the theoretical light field distribution characteristics, and the precision of light-transmitting film defect detection is improved in combination with the theoretical light field distribution characteristics and the actual light field distribution characteristics.

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 seismic wave field analytical simulation method, which comprises the following steps of: constructing a seabed interface analytical equation according to a displacement potential function and a boundary condition of reflected / transmitted waves; obtaining a first function relationship; obtaining a second function relationship; converting the seabed interface analytical equation by using the first function relationship and the second function relationship to obtain a function relationship between the reflection / transmission coefficient and the influence factor, and determining the function relationship as a third function relationship; a plurality of influence factors are obtained, and reflection / transmission coefficients corresponding to the influence factors are obtained based on the third function relation; and obtaining seabed seismic wave field data through forward modeling based on the influence factors and the reflection / transmission coefficients which are in one-to-one correspondence. According to the seismic wave field analysis simulation method, the obtained seabed seismic wave field is highly similar to real data, and a theoretical model can be provided for prediction and attenuation of seabed multiples and ghost waves.

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 a laser crystal non-radiative decay life measurement method based on relaxation oscillation frequency analysis of a solid laser, which comprises the following core steps of: firstly, acquiring a laser intensity noise spectrum in real time by adopting a self-zero beat noise detection device (2) in a stable operation state of the solid laser (1); obtaining a relaxation oscillation frequency measured value of the laser through spectral line feature analysis; secondly, a relaxation oscillation frequency theoretical model is built based on a laser rate equation, and a theoretical function curve graph with the non-radiative decay life of the laser crystal as an independent variable and the relaxation oscillation frequency as a dependent variable is built in combination with actual operation parameters (including pumping power, cavity structure parameters and crystal characteristics) of the laser; and finally, matching the actually measured relaxation oscillation frequency with the frequency value in the theoretical curve, and determining the non-radiative decay life value of the laser crystal through abscissa inversion. The method breaks through the limitation of a traditional measurement method, can realize non-intrusive high-precision measurement in a continuous working state of the laser, and is particularly suitable for in-situ characterization and life evaluation of non-radiation attenuation dynamics of the laser crystal in a solid laser system.

The invention discloses a dry method dense medium coal dressing intelligent process prediction control method which comprises the following steps: firstly, collecting data of raw coal to be washed, and counting prior selectability information of the collected data; establishing a bed density dynamic model based on evolution time, and forming stable bed density; then a sorting density model is obtained through calculation, an empirical distribution function model based on the sorting density model, possible deviation of a sorting system and boundary control parameters is established, and the product distribution rate corresponding to each density level interval is calculated; and finally, predicting and calculating the product yield and ash content of the coal dressing system according to the priori selectability information and the product distribution rate corresponding to each density level interval, and correcting the product yield and ash content. According to the method, different dry-method dense medium separation mathematical models are fused, the description capacity of the models for the steady-state and dynamic characteristics of the separation process is enhanced, the prediction precision of the clean coal ash content and the yield is improved, and the problem that dynamic control is difficult to implement due to lack of theoretical models in the dry-method dense medium field is solved.

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.