380 results about "Numerical modeling" patented technology

This invention provides a method, apparatus, and device for generating marine meteorological data, relating to the field of data processing technology. The method for generating marine meteorological data includes: acquiring identification observation data and numerical simulation data of marine meteorological observation data; interpolating the numerical simulation data onto a preset target grid to generate interpolated wind field data; generating corrected wind field data based on the interpolated wind field data and the identification observation data; generating simulated ocean wave data based on the corrected wind field data; generating corrected ocean wave data based on the simulated ocean wave data and the identification observation data; and encoding the corrected wind field data and the corrected ocean wave data into target marine meteorological data. This invention achieves the fusion of autonomous observation data and numerical simulation data, and efficiently generates high-precision auxiliary meteorological data that meets the input requirements of marine satellites.

The invention provides a rock mass structural surface strength prediction method driven by a ground vibration load, and relates to the technical field of rock mass mechanics. The method comprises the following steps: acquiring and integrating geometric and mechanical parameters, seismic oscillation parameters and test and numerical simulation data of a structural plane to form a standardized database; cleaning and standardizing database data, constructing a dynamic attenuation factor, and screening and enhancing key features to obtain initial input features; constructing a physical experience reference model and a machine learning predictor, and training a hybrid prediction model by combining prediction results of the physical experience reference model and the machine learning predictor; verifying the model and quantizing the output uncertainty; inputting the basic data calling model to complete calculation and outputting a result. According to the method, the reliability and adaptability of rock mass structural surface strength prediction are improved, and support is provided for seismic design of geotechnical engineering.

This invention discloses a method for optimizing and numerically simulating hydrological parameters of coalfield aquifers, relating to the field of coalfield hydrogeological exploration and groundwater numerical simulation technology. The method includes the following steps: Step S1: Obtain drilling monitoring data and historical hydrogeological data from multiple boreholes within the target coalfield area, construct an initial aquifer structure model, and generate an initial hydrological parameter field based on the initial aquifer structure model; Step S2: Based on the initial hydrological parameter field, construct an initial groundwater numerical simulation model, and calibrate and verify the initial groundwater numerical simulation model using preset observation well water level data to obtain a benchmark numerical simulation model; Through distributed fiber optic temperature and strain dual-field monitoring, and coupled Bayesian inversion of heat, solid, and fluid, this method overcomes the limitations of traditional pumping / pressure water tests, which suffer from single-point discretization, time lag, and the inability to obtain only static averages.

This invention belongs to the field of oil and gas production enhancement and stimulation technology. It provides a FDEM simulation method and system for mineral-scale shale hydration-induced fracturing. The method includes the following steps: obtaining target reservoir stress, rock porosity, and permeability; preparing rock samples from the target stratigraphic layer and obtaining the mineral composition and content through X-ray diffraction experiments; constructing a polycrystalline geometric model of the minerals using random Voronoi mosaic technology; conducting core immersion hydration experiments to obtain the relationship between core water content and time; setting initial and boundary conditions for the model and establishing a numerical model of clay mineral hydration expansion-induced fracturing based on the finite discrete element method; and conducting numerical experiments on shale hydration-induced fracturing to obtain the micro-fracture propagation morphology induced by clay mineral hydration expansion. This invention considers the non-uniform mosaic distribution of multiple minerals in the reservoir rock, simulates the non-uniform stress distribution induced by clay mineral water absorption and expansion, and realizes numerical simulation of the mineral-scale shale hydration-induced fracturing process.

The present application belongs to the technical field of geothermal energy development and utilization, and relates to a hydrothermal type buried pipe heat exchanger optimization design method based on PINN, comprising: 1, numerical simulation and benchmark data set generation; 2, PINN construction and training: constructing a PINN neural network, converting the mass conservation equation and the energy conservation equation in the pore medium into a partial differential equation residual, and together with the discrete data error generated by the numerical simulation software to form a composite loss function; using the nonlinear fitting capability of the PINN neural network, and embedding the physical partial differential equation of fluid flow and heat transfer in the pore medium into the loss function as a soft constraint; 3, data-driven optimization based on the proxy model; the present application not only fundamentally solves the problems of poor generalization ability and easy non-physical interpretation of traditional pure data-driven models, but also breaks through the bottleneck of convergence difficulty and high training cost when solving complex engineering problems by pure PINN.

The application provides a CO2 oil displacement storage regulation optimization decision method and system, the method obtains a three-dimensional geological model, production dynamic data and monitoring data of a target working area; a component numerical simulation technology is used to fit a CO2 injection production dynamic history of the target working area, so that target operation parameters of a simulation operation model are adjusted and determined to obtain a matched production simulation operation model; a gas-oil ratio is determined according to the production dynamic data, and then a gas channeling index is calculated, and a target well group meeting the conditions of the gas channeling index is selected; a relationship curve distribution between a Peclet number, an oil increment and a component sweep efficiency is determined by simulating different injection speeds to determine an optimized target injection speed; and development parameters corresponding to different injection modes are simulated, and the target injection mode is determined in combination with the gas channeling index, the sweep efficiency and the miscibility degree. The scheme can overcome the defects of the prior art that the parameter optimization is not in place and the precision is insufficient, and can consider the particularity of the CO2 oil displacement mechanism to establish a regulation optimization strategy based on dimensionless parameters.

This invention relates to a method for determining displacement warning thresholds for slopes with multiple potential sliding surfaces, belonging to the field of landslide early warning and forecasting technology. The invention collects engineering geological data to obtain physical and mechanical parameters of the soil and rock mass, selects a longitudinal profile, and establishes a numerical simulation model. It uses a local strength reduction method to determine the locations of multiple potential sliding surfaces. Monitoring points are set up on the slope surface corresponding to each sliding surface, and horizontal displacement data under each reduction coefficient is obtained through further reduction calculations. The relationship curve between displacement and reduction coefficient is obtained and fitted with a fifth-order polynomial. A cusp catastrophe model is constructed based on catastrophe theory, and the displacement catastrophe criterion is obtained by substituting it into the fitting equation. The sliding surface displacement warning threshold is determined according to the criterion. Then, the above steps are repeated to obtain the displacement warning thresholds for all potential sliding surfaces on the same slope. This invention can quantitatively define displacement catastrophe points, accurately obtain displacement warning thresholds, and distinguish between temporary step deformation and accelerated deformation near the sliding point, reducing the false alarm rate.

This invention provides a method and system for three-dimensional high-frequency controllable source electromagnetic numerical simulation with dual-source excitation. The method constructs a single-source electromagnetic field grid model and a three-dimensional spatial domain total field equation, converting it into a quadratic field control equation by separating the primary and secondary fields. Fourier transform is used to transform the equations to the wavenumber domain, and shape function interpolation is performed iteratively to obtain the wavenumber domain numerical solution. A single-source forward excitation solution is obtained through inverse Fourier transform. A single-source reverse excitation solution is obtained by reversing the current direction. Finally, the forward and reverse solutions are vector-superimposed to obtain the dual-source excitation simulation result. This invention solves the technical problems of existing technologies, such as simulation distortion caused by neglecting displacement current in the 100kHz-10MHz frequency band, numerical calculation interference from field source singularities, and low spatial resolution of complex underground anomalies under single-source excitation. By simulating gradient field response characteristics through dual-source reverse superposition, the sensitivity and exploration resolution of underground target boundaries are significantly improved.

The tunnel lining reliability evaluation method considering space-time coupling provided by the application comprises the following steps: based on the target tunnel site geological survey data, a probability distribution model of a karst cave radius is established; based on the probability distribution model of the karst cave radius, a quantile sampling method is used to generate a plurality of karst cave radius samples; the karst cave radius samples are input into numerical simulation software to simulate and calculate the minimum principal stress value of the tunnel vault lining under different karst cave radii; based on the karst cave radius samples and the minimum principal stress, a function relationship fitting model between the karst cave radius and the minimum principal stress is established; based on the probability distribution model of the karst cave radius and the function relationship fitting model, a stress ratio probability distribution model is derived through a random variable function distribution conversion method; a strength degradation time-varying model of concrete under the action of freeze-thaw cycles under different stress ratios is established; based on the stress ratio probability distribution model and the strength degradation time-varying model, the marginal failure probability of the tunnel lining is calculated by coupling using a total probability formula.

This invention relates to an optimization method and system for preventing coking in waste incinerators based on CFD and solid-phase combustion coupled simulation, belonging to the field of solid waste energy utilization and combustion optimization technology. The technical solution is as follows: S1. Full-process coupled numerical modeling and baseline operating condition simulation; S2. Coking risk diagnosis and dominant cause analysis; S3. Two-level sequential collaborative optimization adjustment; S4. Numerical verification and engineering implementation of the optimization scheme; S5. Adaptive operation and closed-loop feedback control. This invention has the following beneficial effects: breakthroughs in the realism and reliability of numerical simulation, greatly improving the accuracy of diagnostic results and the reliability of optimization guidance; the control strategy possesses high innovation and synergy, the technical solution is specific, quantifiable, and highly operable, with extremely significant industrial application effects, outstanding economic benefits, improved boiler operating efficiency and overall economic benefits, and greatly enhanced equipment operating safety; and it forms a complete technical system that is replicable and scalable.

This invention relates to the fields of computational mechanics and rock engineering, and particularly to a numerical simulation method for end-anchored rock mass engineering based on DDDA (Digital Directed Amplification and Analysis). The method includes: constructing a circular element discontinuous deformation analysis numerical model according to actual engineering conditions; performing discontinuous deformation analysis numerical calculations; analyzing the calculation results of the unanchored model to preliminarily determine the anchoring scheme; performing discontinuous deformation analysis numerical calculations again; determining whether the model contains unstable blocks, adjusting the anchoring scheme, and repeating the aforementioned steps until the model stabilizes, thus completing the design of the rock mass engineering anchoring scheme. This invention establishes a numerical simulation method capable of accurately simulating the interaction between anchor bolts (anchor cables) and rock mass, and integrating anchoring scheme design, stability assessment, and dynamic parameter optimization functions. It achieves accurate prediction of the deformation and failure behavior of anchored rock mass and optimizes anchoring design, featuring high simulation accuracy and strong practicality.

The application discloses a high-altitude overhanging non-supporting steel-concrete composite structure system based on numerical simulation and a construction method thereof, which comprises an overhanging inner platform and an overhanging outer platform connected to a non-overhanging area frame system in a concave shape, wherein the non-overhanging area frame system comprises a structure column KZ1 at the junction of a non-overhanging area and an overhanging platform, a concrete frame beam KL2, a concrete frame beam KL3 and an L1 beam; reliable supports are arranged under the overhanging inner platform; sectional combined floors are poured in sequence from the non-overhanging area to the overhanging outer platform; steel beam embedded parts are fixedly arranged on the non-overhanging area frame system; the steel beam embedded parts are fixed with steel beams; the steel beams comprise a steel beam one GL1, a steel beam two GL2 and a steel beam three GL3; and the application further comprises finite element software. The application satisfies the non-supporting construction of the high-altitude overhanging structure, has the advantages of safety and reliability and strong operability, and has the advantages of convenient construction, high economic efficiency and the like, as compared with temporary support erection in the high-altitude overhanging area.

This invention discloses a method for joint monitoring of surface subsidence and pipeline deformation in coal goaf areas, relating to the fields of geotechnical mechanics and surveying engineering technology. The method includes: acquiring SAR time-series images of the coal goaf area; obtaining surface subsidence data of the coal goaf area based on the SAR time-series images by combining the S-InSAR method and the phase cumulative difference D-InSAR method; determining the pipeline length, inner and outer diameters, burial depth, and the extent and shape of the soil mass based on the SAR time-series images of the coal goaf area, and establishing a pipeline-soil numerical model of the coal goaf area; determining the subsidence value and horizontal movement value based on the coal goaf image data containing the relationship between surface subsidence and pipeline location; inputting the subsidence value and horizontal movement value into the pipeline-soil numerical model of the coal goaf area for numerical simulation to obtain pipeline deformation stress data; and determining the spatial coupling relationship between the surface subsidence data and the pipeline stress-deformation data by spatially superimposing the surface subsidence data and the pipeline stress-deformation data.

The invention provides a tunnel blasting equivalent load prediction method and system based on an artificial neural network for tunnel blasting dynamic response rapid evaluation. The method comprises the following steps: firstly, establishing engineering parameters for describing a single-hole blasting working condition of a tunnel, and converting the engineering parameters into dimensionless input parameter vectors; aiming at continuity parameters and grading parameters, generating sample working conditions by adopting an orthogonal test and Latin hypercube combined sampling mode, carrying out numerical simulation on each working condition, extracting a blasting triangular wave speed-time history curve of a representative measuring point in the model, and establishing a blasting triangular wave speed-time history curve with engineering parameters of a single-hole blasting working condition as input; the database takes blasting triangular wave parameters as output; an artificial neural network is trained under the loss function, rapid prediction of triangular wave parameters is achieved, and triangular waves can serve as blasting equivalent load time history to be applied to the normal direction of the plane where representative measuring points are located and used for tunnel blasting dynamic response calculation. According to the method, the calculation cost and the modeling complexity can be remarkably reduced, and the numerical calculation stability and the engineering applicability are improved.

The application relates to the field of carbon dioxide resource utilization, and discloses a numerical simulation method, device and equipment for a carbon dioxide resource utilization reaction, wherein the method comprises the following steps: a flow field simulation model and a reaction simulation model of the carbon dioxide resource utilization reaction are established; reaction component concentration and a reaction rate are obtained; based on the reaction component concentration, the flow field simulation model is analyzed in a steady state to determine stable flow field data of the resource utilization reaction; based on the reaction rate and the stable flow field data, equivalent stable time of the resource utilization reaction is determined; based on the reaction rate and the equivalent stable time, the reaction component concentration is corrected; based on the corrected reaction component concentration and the stable flow field data, the reaction simulation model is analyzed in a transient state until the resource utilization reaction ends, so that a numerical simulation result of the resource utilization reaction process is obtained. The technical scheme provided by the application can improve the simulation accuracy and simulation efficiency of the numerical simulation process for carbon dioxide resource utilization.

This invention discloses a discrete element method, system, medium, and equipment for simulating equivalent crystalline materials, relating to the field of numerical simulation of rock mechanics. The method includes: converting granite images into binary images using a binarization method to identify various minerals within the binary images; determining the size data of various minerals in the binary images based on a particle size statistical algorithm; extracting micromechanical parameters using nanoindentation experiments combined with a trial-and-error method, and constructing multiple sets of equivalent crystalline models based on the mineral size data; dividing each set of equivalent crystalline models into multiple regions using a Brazilian splitting experiment; determining the optimal magnification for each region of each set of equivalent crystalline models by magnifying from non-critical regions to critical regions using a magnification algorithm, obtaining differentiated equivalent crystalline models; and performing Brazilian splitting numerical simulation using these differentiated equivalent crystalline models to obtain simulation results.

The application relates to the technical field of tunnel engineering disaster prediction, and discloses a soft rock tunnel large deformation prediction method based on a particle swarm optimization neural network, which comprises the following steps: selecting geological construction characteristic parameters such as water content of surrounding rock and construction methods as input factors, and establishing a qualitative index and quantitative value mapping; based on orthogonal test design and numerical simulation, engineering sample data sets are constructed and normalized; subsequently, the initial connection weight and bias of an error back propagation neural network are globally iteratively optimized by using a particle swarm optimization algorithm, so that optimal initial values are obtained by taking network errors as fitness values; finally, data training is carried out to generate a mature model, and a predicted deformation value is output and combined with a double check mechanism to carry out engineering early warning. The application solves the problems that traditional neural networks are slow in convergence and prone to falling into local optimization due to random parameter initialization, and effectively improves the prediction accuracy of soft rock tunnel large deformation and the reliability of engineering early warning.

This invention belongs to the field of high-performance thermoplastic composite granule preparation and process optimization technology. Specifically, it relates to a method and system for determining the optimal process for twin-screw extrusion preparation of carbon fiber / polyetheretherketone (PEEK) granules based on numerical simulation and multi-objective optimization. A three-dimensional model of the internal flow channel of the twin-screw extruder is established, and discretization is performed using a mesh stacking method. Multiple simulation conditions are constructed within a preset temperature and extrusion speed range, and process safety constraints are established. The analytic hierarchy process (AHP) – approximation of ideal solution ranking method is used for index standardization, weight allocation, and comprehensive scoring. With process temperature and extrusion speed as decision variables, a non-dominated sorting genetic algorithm is used for multi-objective global search to obtain the Pareto optimal solution set, which is then ranked and optimized to output recommended process parameter combinations. This invention's method can reduce the risk of thermal degradation and fiber damage while considering the mixing effect, and reduces the cost and cycle time of trial and error.

This invention belongs to the field of numerical simulation of investment casting, and relates to a high-precision numerical simulation method, system, and product for the wax pattern filling process of investment casting. The method includes updating boundary conditions and determining the time step Δt; solving for the flow field, temperature field, and updating the viscosity based on the known field quantities of the current time step; the known field quantities include the flow field and temperature field obtained in the previous time step; performing interface tracking based on the flow field to obtain the free surface between the wax and air, thereby distinguishing between filled and unfilled areas; determining whether to continue time progression according to a preset filling ratio; if time progression is stopped, outputting the results of the flow field, temperature field, viscosity field, and the change of the free surface over time during the entire wax pattern filling process.

This invention discloses a numerical simulation method for the maintenance and construction of semi-flexible pavement based on dual-scale coupling, comprising: determining the dimensions of the milled and repaved section based on the original pavement structure obtained by three-dimensional ground-penetrating radar and falling-weight deflectometer; establishing a finite element model for the original pavement structure; simulating the semi-flexible layer after milling and repaving using discrete element method and coupling it into the finite element model to construct a dual-scale coupled model; performing simulation calculations on the compaction and molding of large-void parent asphalt mixture; conducting simulation derivation of self-leveling cement slurry filling based on the construction process and the dual-scale coupled model; establishing a discrete element numerical model for cement curing to characterize cement curing behavior; and evaluating and guiding the maintenance of the semi-flexible pavement based on the dual-scale coupled model. This invention realizes process control and performance evaluation during the construction period of semi-flexible pavement and guidance for maintenance and repair during service life, making up for the shortcomings of high testing costs and insufficient theoretical data for different construction conditions in semi-flexible pavement.

The application provides a numerical simulation method for a metal indium vacuum distillation process, comprising the following steps: drawing a three-dimensional model of a high-temperature vacuum equipment structure and internal components used for metal indium vacuum distillation; dividing the drawn model according to a polyhedral grid; assigning corresponding materials to the high-temperature vacuum equipment and the internal components in the model, setting basic assumptions and control equations for temperature field numerical simulation and flow field numerical simulation in the metal indium vacuum distillation process; setting boundary conditions for the temperature field numerical simulation and assigning initial values, and obtaining a temperature field numerical simulation result in the high-temperature vacuum equipment based on control equation calculation; based on the obtained temperature field numerical simulation result, setting boundary conditions for the flow field numerical simulation and assigning initial values, and obtaining a flow field numerical simulation result in the high-temperature vacuum equipment based on control equation calculation. The application can accurately simulate the metal indium vacuum distillation process, and can be used to further guide non-ferrous metal vacuum distillation purification and separation practice.

The present application provides a kind of open-air blasting hole net parameter determination method, device, electronic equipment and detection system, belongs to blasting engineering technical field.The method comprises: S1, obtains the rock mass explosibility parameter of target blast area, initial hole net parameter;S2, the parameters obtained and blasting energy parameters are input into numerical simulation model, and output prediction result;S3, obtains the measured result according to the current hole net parameter execution blasting;S4, according to the measured result and prediction result, corrects the parameters of numerical simulation model;S5, optimizes hole net parameter;S6, based on the iteration control of multi-objective optimization repeatedly executes S2-S5, and the first preset number of iterations control executes S2-S5, subsequent iteration control only executes S2 and S5;Until the prediction boulder rate exceeds the first threshold value, stop iteration, and the optimal hole net parameter with the prediction boulder rate less than the first threshold value is determined as target hole net parameter.The method is used to solve the problem of high explosive specific consumption in related art.

This invention relates to the field of underground engineering and tunnel numerical simulation technology, and discloses an automatic refined modeling and simulation calculation method based on Flac3D. The steps include: geometric parameter extraction; constructing the tunnel cross-sectional profile based on geometric formulas; generating a point coordinate array by segmenting the profile and combining it with step height correction; constructing a cross-sectional mesh and a three-dimensional model in Flac3D; model layering and initial field assignment; generating a support component array; unbalanced force acquisition and cyclic excavation support; and automatically extracting surrounding rock deformation and support structure deformation and stress data. This invention realizes the automatic generation of a refined three-dimensional model from design parameters to Flac3D, as well as an integrated automatic calculation process of step excavation – support – reaction force application – result extraction, significantly reducing manual operation, improving the precision, consistency and efficiency of tunnel numerical analysis, and providing a fast and reliable modeling and calculation means for tunnel design optimization and construction scheme comparison under complex working conditions.

The application relates to the technical field of building engineering, and discloses a numerical simulation method for building foundation grouting reinforcement and repair. The method divides the building foundation into three levels of material layer, structure layer and fluid layer, and establishes a numerical atlas model containing analysis nodes, associated edges and a dynamic attribute set. By acquiring real-time state parameters of the material layer, a material state characteristic vector is calculated, and based on this, the potential grouting influence domain of the fluid layer is dynamically positioned in a multilayer progressive manner. Multilayer cascade numerical simulation is performed in the influence domain, and an initial strategy set containing grouting pressure, material proportioning and path planning is generated. The system receives external input signals for dynamic correction, and updates the numerical atlas model according to feedback data after the strategy is executed. The method realizes dynamic deduction and strategy optimization of the grouting repair process, and enhances the accuracy and adaptability of foundation reinforcement.

This application discloses a two-stage dimensionality reduction optimization design method for impellers under high-resistance conditions. The method establishes a parametric model of a four-circular-arc non-uniform thickness blade and an equivalent high-resistance simulation model, providing an accurate and stable analytical foundation for optimization. Then, a two-stage optimization strategy is adopted. First, global optimization is performed to identify key variables. Then, the flow target is transformed into noise reduction potential through speed correction. Finally, refined optimization is performed in the dimensionality reduction space. By introducing an equivalent resistance model and speed correction strategy, the problems of instability in numerical simulation and difficulty in system matching under high-resistance conditions are solved. The two-stage dimensionality reduction optimization method significantly reduces the dimensionality of the optimization problem, improves design efficiency, and achieves synergistic optimization of impeller aerodynamic efficiency, noise performance, and flow under the target high-resistance conditions.

The application discloses a kind of atomizer atomization numerical simulation methods based on temperature change characteristics, belong to atomizer performance prediction technical field.The method constructs simulation dataset, and sequentially executes temperature field solution, property update, droplet formation solution, transport solution, blockage risk integral calculation and constraint correction;Through multilevel transient coupling algorithm, layered transient temperature solution is carried out to liquid bin, mesh and micropore area, temperature concentration joint reconstruction algorithm is used to apply temperature change and local concentration effect to property parameter update, and through time series integral risk prediction algorithm, blockage risk is continuously accumulated and predicted;With micropore temperature difference index and local concentration factor as cross-step coupling variable, realize from temperature field to the whole-link moment-to-moment transfer of blockage risk, it is favorable to improve the continuity of particle size spectrum prediction and the stability of blockage risk window estimation under temperature change condition.

This invention relates to the field of numerical simulation and computational technology for seismic wave propagation, and discloses a method and apparatus for generating seismic ground motions based on target spectra and Green's functions. It aims to address the difficulty in achieving a balance between physical consistency, computational efficiency, and spectral compatibility in existing methods. The scheme mainly includes: preprocessing environmental noise records and extracting empirical Green's functions through unsupervised clustering; constructing a spatially continuous propagation tensor by performing depth correction and gradient interpolation based on surface wave eigenfunctions; discretizing the kinematically finite fault model into sub-source units and generating long-period seismic ground motions including path effects using propagation tensor convolution; optimizing source parameters through Bayesian inversion using the GMPE target spectrum as a constraint; and finally generating high-frequency components and fusing them with the long-period waveform to obtain a broadband seismic ground motion time history. This invention achieves a unification of physical propagation mechanisms and statistical spectral constraints, significantly improving computational efficiency while ensuring spectral compatibility, and is particularly suitable for basin areas.

This invention discloses a method and system for digital modeling of the physical field during the forging process of complex-shaped components. The method includes: establishing a finite element model of the forging process and obtaining the physical field at any given moment through simulation calculation; dividing the forming process into multiple stages to obtain the transition points and end points of the forging stages; designing multiple different combinations of forging process parameters and performing finite element numerical simulation calculations for each set of parameters; establishing a coordinate system and selecting data sampling points on the forging based on the Poisson disk sampling method; for each stage transition point or end point, applying the finite element simulation calculation results to obtain the deformation physical quantities of the data sampling points and constructing a dataset; selecting a machine learning algorithm and applying the dataset to establish a prediction model; using the prediction model to obtain the predicted values ​​of the deformation physical quantities at the target stage transition point or end point; and using an interpolation algorithm to reconstruct the physical field and obtain the full-field digital results of the physical field, thereby achieving accurate prediction of the physical field during the forging process of complex-shaped components.

The present application relates to the technical field of metallurgical continuous casting, and provides a method for predicting the solidification structure distribution of continuous casting billets based on a solidification heat transfer model optimization, which comprises the following steps: obtaining the actual process parameters, the CET starting position and the actual distance from the CET ending position to the surface of the casting billet of a reference scheme, and obtaining the thermal physical property parameters of the steel billet through material calculation; multiplying the basic thermal conductivity coefficient by a thermal conductivity conversion coefficient to obtain an equivalent thermal conductivity coefficient, combining the reference scheme parameters, establishing a solidification heat transfer model and performing simulation, extracting the temperature gradient G and the solidification rate R in the thickness direction of the casting billet, calculating the G 2 / R curve, and determining the critical values of the CET starting and complete conversion according to the actual CET starting and ending positions; inputting the target process parameters into the solidification heat transfer model for simulation to obtain the G 2 / R curve, and predicting the CET starting and ending positions under the target scheme through the critical values. The present application can realize the accurate prediction of the CET conversion in the solidification process of the continuous casting billet, and improve the numerical simulation efficiency and the process design efficiency.

The application discloses a high-efficiency numerical simulation method for a high-doped semiconductor device, and the method comprises the following steps: based on a drift-diffusion model and a density gradient quantum correction model, a semiconductor device model equation set is constructed; a finite volume method is used to perform three-dimensional space discretization on the semiconductor device model equation set, so that a discrete equation set is obtained; the discrete equation set is solved through a Newton iteration method, and iteration is performed until the residual error of electric potential and carrier concentration is smaller than a convergence threshold; and a numerical simulation result is output. Through modification of a correction factor in a traditional drift-diffusion model, the simulation model simultaneously considers Fermi-Dirac statistics and quantum correction effects which are closer to physical actuality, so that the simulation numerical simulation precision of a nanometer device with high concentration doping is significantly improved, and the application is helpful to device design, electrical property analysis, device optimization and other fields.