170 results about "Particle model" patented technology

The invention discloses an urban area runoff pollutant transportation process simulation forecasting method, which is characterized in that a building area runoff production calculation method under the influence of a wind field is provided, and the building area runoff production calculation method is coupled with an SWMM rainfall flood model; secondly, constructing a two-dimensional hydrodynamic model based on an FVCOM and a Lagrange particle model, coupling the two-dimensional hydrodynamic model with the SWMM rainfall flood model, and driving the two-dimensional hydrodynamic model by taking the overflow flow and the pollutant concentration simulated by the SWMM rainfall flood model as boundary conditions; simulating a transportation process of pollutants along with evolution of surface ponding by establishing a'concentration-quantity 'conversion relation between the pollutants and particles at grid units and nodes, and obtaining a time sequence pollutant concentration data set; and training and establishing a pollutant concentration prediction model based on the obtained data, and then predicting the pollutant concentration of each prediction point after specific time in an actual rainfall event. According to the method, the runoff pollutant concentration can be predicted, and the urban non-point source pollution risk under the rainstorm weather is reduced.

The invention discloses a multi-mode intelligent linkage 3D visual data center operation and maintenance system and method, and relates to the technical field of data center operation and maintenance. The system comprises a multi-modal data fusion module used for mapping physical sensor data and video monitoring and operation and maintenance logs to a unified three-dimensional coordinate system and constructing a multi-modal fusion feature tensor; the three-dimensional particle modeling module is used for constructing a particle space structure based on a Voronoi diagram and Delaunay triangulation and adaptively adjusting the particle resolution; the multi-modal score analysis module is used for calculating a particle multi-dimensional score and generating a semantic heat map to recognize an abnormal region; the structured noise prediction module is used for simulating future responses under different instructions based on a diffusion model; the instruction generation and regulation module is used for realizing causal analysis and instruction optimization in combination with a knowledge graph; and the three-dimensional visual interaction module supports real-time rendering and interaction operation at a client. According to the method, the intelligence, the real-time performance and the visualization level of data center operation and maintenance can be improved.

The invention discloses a mine semi-autogenous grinding process analog simulation method and system based on discrete elements, and relates to the field of analog simulation, and the method comprises the steps: according to a crushing characteristic label and a parameter mapping matrix, fusing Internet of Things sensor data, constructing a particle size distribution prediction model and an energy consumption optimization scheduling strategy, and obtaining an energy-saving operation plan; comparing the simulation data set with field production data, adjusting multi-phase coupling particle model parameters, generating a calibration parameter set, researching the influence law of semi-autogenous mill operation parameters by adopting a control variable method based on the calibration parameter set, obtaining a performance index database and an analysis report, and fusing multi-sensor data and laser radar data to obtain a semi-autogenous mill operation parameter analysis result. An ore grinding process sensing mechanism and optimization control logic are constructed, and a visual interface is generated; through multiphase modeling and data driving optimization, the simulation precision and the process suitability are comprehensively improved, and an efficient and economical solution is provided for the mine semi-autogenous grinding process.

The invention discloses a numerical simulation method and system for corrosion expansion cracking of reinforced concrete based on near-field dynamics, and relates to the technical field of numerical simulation of civil engineering materials. Discretizing a concrete calculation area into a near-field dynamic material point model to form a discrete model; applying boundary conditions to the discrete model; establishing a mapping relation between the material point damage degree and the erosion coefficient; acquiring chloride ion concentration distribution and oxygen concentration distribution of the discrete model at the current time step, and judging whether the chloride ion concentration of the surface of the steel bar reaches a blunt removal threshold value or not; if the reinforcing steel bar is blunt, obtaining a displacement field of the model at the current time step and the damage degree of each material point, and updating the erosion coefficient of each material point in the model; according to the method, a crack path does not need to be preset, initiation and expansion of complex cracks can be naturally described, the problem of singularity of a crack tip and the problem of convergence do not exist, damage behaviors such as brittle fracture and peeling of concrete can be simulated, and extra constitutive adjustment and model adjustment are not needed.

The invention provides a train integrity detection method and system for constructing a dynamic envelope based on a multi-mass-point model, and belongs to the technical field of rail transit train operation safety detection. Estimating the real-time length of the baseline by using Kalman filtering; pID control is adopted to analyze and calculate the telescopic displacement of the carriages in the train running process; and comparing the calculated baseline length with the train safety envelope, and judging whether the integrity state of the train is normal or not according to a comparison result. According to the invention, the train length is detected by using the double-difference carrier phase; a train dynamic safety envelope is constructed, a train multi-mass-point model is constructed by researching longitudinal stress analysis such as resistance and workshop acting force of a high-speed train, and compartment extrusion displacement in the train running process is analyzed and calculated through PID control. A train dynamic safety envelope is formed by the data, communication delay and a redundancy threshold value and serves as a judgment basis of train integrity detection, and the efficiency and the real-time performance of train integrity detection are improved.

The invention belongs to the technical field of SPH modeling, and particularly discloses an SPH particle model and surface geometric model automatic generation method and system, and the method comprises the steps: constructing raster data of a terrain elevation model and a source thickness distribution model, carrying out the data standardization processing, and achieving the unification of the spatial reference of the terrain elevation model and the source thickness distribution model; resampling the resolution of the standardized raster data to ensure that the size of the raster unit is matched with the physical characteristics of the particles; generating terrain boundary particles by adopting a hierarchical generation algorithm, and completing material source particle filling; and based on the grid vertex coordinate set, generating a surface geometric model in an STL format, outputting particle coordinates and an STL file meeting the requirements of an SPH solver, and completing automatic generation of the SPH particle model and the surface geometric model. The problems that an existing SPH modeling method is low in processing efficiency, high in data alignment error and insufficient in model surface geometric accuracy are solved.

The invention provides a gas-liquid-solid multi-phase conveying centrifugal pump performance prediction method and an optimization design method. According to the method, the performance of the centrifugal pump is accurately predicted and the design efficiency of the centrifugal pump is improved through numerical simulation and optimization design in combination with a gas-liquid-solid three-phase flow dynamic model. Firstly, blade parameters are determined according to design requirements, a three-dimensional model is established, and grid division is carried out; then, the VOF-Level Set multiphase flow model, the particle model and the gas-liquid-solid coupling model are corrected, factors such as surface tension, particle immersion force and drag force are considered, and lift and efficiency curves are calculated through numerical simulation; and finally, a particle accumulation area is analyzed based on the particle distribution characteristic graph, and the optimal lift efficiency combination is obtained by adjusting parameters such as the inlet angle, the inlet width, the wrap angle and the blade number of the blades and optimizing design. According to the method, the performance of the centrifugal pump in the gas-liquid-solid multiphase flow environment can be improved, and a new design thought is provided.

The invention relates to the field of powder material manufacturing, and discloses a powder particle model parameter calibration method based on a discrete element method.The method comprises the steps that a static accumulation angle experiment is conducted, and the accumulation angle of micron-sized powder is obtained; performing particle size scaling according to a powder particle size distribution curve; discrete element intrinsic parameters are set according to powder characteristics and mold materials; setting to-be-calibrated parameters and ranges; performing PB design according to the to-be-calibrated parameters and the range; analyzing a test result and screening test parameters which have relatively obvious influence on the simplified and scaled powder accumulation angle; establishing a regression model and seeking an optimal combination by taking a relatively significant test parameter as an independent variable and taking an actually measured static accumulation angle as a target value; and finally determining the mineral particle model parameters based on the discrete element method through the established optimization combination verified by a numerical test. According to the method, the parameter calibration efficiency and the parameter calibration accuracy are improved, and an effective technical means is provided for key parameters of a powder particle numerical simulation experiment.

The invention provides a high-speed train intelligent model prediction control method and system, and belongs to the technical field of train operation control, and the method comprises the steps: carrying out the prediction of the operation state prediction data of a future high-speed train through employing a pre-trained long-short term memory neural network based on historical operation state data; based on the running state prediction data of the future high-speed train, in combination with the current real-time running state data, performing state estimation by using a fixed lag Kalman smoother to obtain an optimized running state estimation result; based on the optimal control input sequence, the traction force and braking force of the train are controlled and adjusted in real time, and it is ensured that the train runs according to the expected trajectory. According to the method, the problems of nonlinear dynamic and non-Gaussian noise interference are solved, and the state estimation precision is improved; by introducing the multi-particle model, the position and speed dynamic state of each particle of the train is accurately described, the physical consistency of the control strategy is improved, the physical authenticity of the model is enhanced, and the high-precision tracking of the position and speed of the train is realized.

The invention discloses a particle geometric reconstruction and morphological parameter automatic evaluation method based on a three-dimensional image, and the method comprises the steps: firstly obtaining a three-dimensional gray image of a particle sample, carrying out the Gaussian noise reduction, binaryzation and watershed segmentation preprocessing, and achieving the precise segmentation of independent particles based on an established particle segmentation defect repair algorithm; and then, according to the segmented and marked three-dimensional particle image, an initial contour surface is reconstructed by using a marching cube algorithm to generate a particle surface grid, noise is suppressed by using a Taubin smooth optimization algorithm, a topological structure is automatically calibrated, and a digital model conforming to real particle surface features is constructed. And finally, importing each particle model into the created particle morphological parameter automatic evaluation software to realize quantitative analysis of particle morphological characteristics.

The invention provides a construction method and device of a broken particle discrete element numerical model and application of the construction method and device. The method comprises the following steps: constructing N isometric particle contour models based on N real particles; based on the target grading curve and the total number of the particles, constructing a spherical particle set model; replacing each spherical particle model in the spherical particle set model with a breakable model composed of a plurality of polyhedrons one by one; and after all the spherical particle models are replaced by fragmentable models, generating a fragmentable particle material numerical model instruction file, and directly inputting the instruction file into PFC3D in a reading manner to generate a fragmentable particle discrete element numerical model. The breakable particle discrete element numerical model obtained through the construction method has the shape of real particles and is composed of coplanar Voronoi polyhedrons, the size of the model conforms to grading characteristics, and analysis of particle breaking characteristics and the microscomic influence of particle breaking on material macromechanical characteristics is facilitated.

The invention discloses a path tracking control method and device, equipment, a medium and a product, and relates to the field of path tracking control. The method comprises the steps that the state quantity of a target vehicle at the current moment and a preset reference path are acquired; determining a convergence trajectory based on the designed nonlinear particle model according to the state quantity at the current moment; based on a long time domain translational motion regulator and a first cost function, performing variable optimization according to the convergence trajectory and a preset reference path; determining a predicted state quantity based on a high-precision dynamic model according to the state quantity at the current moment; solving a quadratic programming problem according to the predicted state quantity and the optimized variable to obtain an optimized output quantity; the optimized output quantity is a front wheel steering angle at the next moment; the quadratic programming problem is solved by integrating linear constraints based on a second cost function; and determining a response result of the target vehicle according to the optimized output quantity so as to realize path tracking of the target vehicle. The invention aims to realize path tracking control.

The invention discloses a method for calculating image force feedback by physically modeling a guide wire based on a discrete elastic rod, which comprises the following steps of: modeling the guide wire into a non-telescopic deformable linear object, representing the center line of the guide wire by adopting an arc length parameterized three-dimensional curve, and describing bending and torsion characteristics by combining an orthogonal material frame; a curvature vector and a torsion angle are calculated through a discretized particle model to simulate the internal state of the guide wire, and the motion of the guide wire is predicted based on a semi-implicit integration method through a Lagrange motion equation; then, coarse detection is carried out in combination with the preprocessed mask image of the blood vessel wall, whether the guide wire makes contact with the blood vessel wall or not is judged, and due to the existence of a preprocessing structure, the detection is faster than a common bounding box which is divided through a tree structure; then, whether the tip of the guide wire penetrates through the blood vessel wall or not is judged through the blood vessel center line and kd-tree, a force feedback calculation model is constructed by combining a spring damping system according to deformation caused to the blood vessel wall, and corresponding feedback force after collision is calculated.

The invention discloses a mountainous area pier durability evaluation method and system based on water-sand composite abrasion, and belongs to the technical field of bridge structure safety evaluation. A composite abrasive particle model considering tangential cutting and normal impact effects is established, discrete solution is performed on the composite abrasive particle model through a smooth particle element solver, and the durability of a pier in a mountainous area is evaluated. Constructing an initial mountainous area pier abrasion rate calculation model; orthogonal test simulation is carried out based on a Box-Behnken design method and a center combination design method, a curve estimation theory and a multivariate nonlinear regression theory are combined, and influences of river water depth, pier pile diameter, flow velocity before water-sand mixed particle impact, sand content, silt particle roundness coefficient and concrete compressive strength on the abrasion rate are considered. Constructing a high-precision bridge pier water-sand abrasion rate calculation model; based on the high-precision bridge pier water-sand abrasion rate calculation model and the bridge site hydrological working condition data, the bridge pier annual abrasion depth is calculated, and whether the bridge pier durability meets the service requirement or not is evaluated based on the concrete protection layer thickness and the bridge pier annual abrasion depth.

The application discloses a kind of based on three-dimensional particle special effect's airborne chaff bomb simulation method, contain the following steps: chaff individual particle modeling: based on three-dimensional particle special effect technology, simulate the motion trajectory of single chaff, the motion characteristics of chaff cloud and chaff electromagnetic scattering characteristic RCS;Complex environment modeling: including meteorological environment simulation model and electromagnetic environment simulation model;Particle special effect driven simulation calculation: under the action of the chaff individual particle model and complex environment model, first, each chaff individual is particleized;Then real-time calculation is carried out;Finally, radar wave irradiation analysis is carried out;Three-dimensional dynamic visualization output: the distribution and interference effect of chaff bomb under different height and environment are realized Real-time display.The application can highly realistic simulate the explosion, diffusion, disappearance etc. of chaff bomb in launching, including the motion trajectory of chaff bomb, diffusion distribution form and the effect of radar scattering.

The application discloses a kind of experimental measurement methods of non-spherical particle energy recovery coefficient, it is characterized in that, including the following steps: 1) establish the flat plate model of particle-wall collision working condition;2) establish non-spherical particle model and carry out DEM simulation;3) according to the motion parameter of non-spherical particle after collision, combined with free fall motion, the landing point of particle is calculated, and the random landing point distribution of non-spherical particle after collision with wall is quantified using probability density function;4) design several non-spherical particle models to carry out the above simulation and calculation, obtain the energy recovery coefficient and random landing point distribution of several different non-spherical particles;5) build artificial neural network training model, use Python tool to establish the nonlinear fitting relationship between random landing point distribution and energy recovery coefficient by artificial neural network, construct non-spherical particle energy recovery coefficient prediction model;The application has important significance to the research of particle-wall collision field.

The application discloses a complex geometric model particle discrete method and system and electronic equipment, belongs to the field of fluid mechanics, proposes a kind of efficient, accurate method for constructing model geometry surface narrowband area LSDF, and carry out particle compensation, to avoid the problem that particle spacing increases after particle relaxation;According to the above method, by inputting the geometric model and the particle spacing after discretization, the complex geometric model can be discretized into uniform, adaptive particles with specified spacing. The method solves the problem of inaccurate and inefficient LSDF in the prior art, and the volume error of the model after being discretized into particles is large. By inputting the STL geometric model file and the particle spacing, the model can be automatically discretized into a particle model. The particle model can be applied to numerical calculation of the particle method. The accuracy and universality of the method and device in the application are verified by particle discretization of various complex geometries.

The invention relates to a gamma radiation field reconstruction method based on Lagrange particle model parameter assimilation, and the method comprises the steps: determining the spatial positions of a plurality of radioactive aerosol particles based on a Lagrange particle model; constructing state parameters based on the plurality of spatial positions and the source intensity of each aerosol particle; forming a background state vector by using the state parameters, and dynamically updating the background state vector by adopting an ensemble Kalman filtering algorithm to obtain a corrected assimilation state; determining an optimized transportation track based on the spatial position of the radioactive aerosol particles in the corrected assimilation state; constructing a local concentration field corresponding to the radioactive aerosol particles by adopting a Gaussian kernel function; and determining a gamma radiation field corresponding to the radioactive aerosol particles. The three-dimensional radiation field reconstruction is carried out based on the background state vector and the real-time monitoring data by taking the parameters of the radioactive aerosol particles as the core, and the purposes of correcting the background state variable, obtaining the corrected assimilation variable and improving the accuracy of the three-dimensional radiation field reconstruction are achieved.

The present invention discloses a method for obtaining the tortuosity and permeability of a porous medium based on a rectangular particle model. For rectangular porous medium particles, a microscopic structure model is established by a fractal method, which can be used to obtain the tortuosity, permeability and capillary entry pressure of a porous medium composed of rectangular particles with different shape parameters. By establishing a microscopic structure model of a porous medium composed of rectangular particles, this method realizes the quantification of the water flow movement parameters of the porous medium, is suitable for simulating and predicting the migration of chlorinated hydrocarbon pollutants in an aquifer, and can realize the identification of the particle shape parameters of the aquifer, and has wide applicability to the accurate simulation of groundwater flow movement and pollutant migration and remediation.

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.

A method is provided of simulating additive manufacturing in which powder is used to additively manufacture an object The method comprises using a particle model to model application of powder, for example in form of a deposited powder bed, over a substrate layer during the additive manufacture, initiating a simulation model of the additive manufacturing, wherein the simulation model uses computational fluid dynamics to simulate 3D volumetric fields at respective time instances during the additive manufacturing, and executing the simulation model to obtain at least a 3D phase field and a 3D temperature field at respective time instances during manufacture of a first line structure on the substrate layer to simulate temperature evolution and phase changes during the manufacture of the first line structure.

The application relates to a numerical prediction method for the flow dynamics characteristics of coarse particle solid-liquid two-phase flow in a vertical lifting pipeline, and belongs to the technical field of numerical prediction of flow dynamics characteristics. In order to solve the problem that the influence of particle movement on the surrounding fluid is not considered in the current theoretical calculation and numerical simulation of the solid-liquid two-phase flow in the pipeline, the application firstly models and divides the grid of the fluid domain; a particle model is established based on a particle material simulation software, and the particles are controlled in a discrete manner; then, a coupling interface is established based on a computational fluid dynamics software through a coupling interface control equation; the computational fluid dynamics software calculates and monitors the state of the fluid, which is transported to the particle material simulation software as the external environment of the particles; the interference caused by the movement of the particles is also transmitted to the computational fluid dynamics software through the coupling interface; and the numerical prediction of the flow dynamics characteristics of the coarse particle solid-liquid two-phase flow is realized based on the initialized coupling interface, the pipeline model and the particle model.

The present invention discloses a method for simulating weakly compressible fluid smooth particles based on particle position correction, comprising the following steps: 1. Smooth particle modeling of weakly compressible fluid; 2. Smooth particle position correction; 3. Using a computer to input the corrected position vector of the i-th particle, and using a position-based Verlet algorithm to perform time iteration on each particle in the SPH particle model to obtain an updated particle flow field distribution; and 4. Obtaining fluid state parameters from the updated particle flow field distribution. The method of the present invention has simple steps and a reasonable design. By correcting the position of fluid particles, a uniform distribution of simulated particles is achieved without introducing physical parameters, resulting in better applicability to complex flows and improved stability and accuracy of subsequent simulation calculations.

The invention relates to the technical field of visual detection of solid waste particles, in particular to an intelligent identification method and system for solid waste particles based on multi-modal fusion, and the method comprises the steps: firstly, carrying out the particle segmentation and particle size statistics of a solid waste infrared image, and calculating a particle adhesion evaluation value; dividing the solid wastes into low, medium and high adhesion grades; then, for different adhesion levels, channel weighted fusion guided by infrared images, or frequency domain fusion guided by RGB images, or instance level alignment fusion based on three-dimensional point cloud space anchor points is adopted to obtain multi-modal fusion features; and finally, the infrared image and the multi-modal fusion feature are mapped to a three-dimensional point cloud model to construct a three-dimensional solid waste particle model, accurate geometric dimensions and material features are obtained at the particle instance level, and the accuracy of solid waste particle type recognition and particle size measurement and the overall recognition efficiency are remarkably improved.

The invention discloses a level set-based accelerated simulation method for rock-soil granular materials in any shape. Comprising the steps of establishing a level set particle model of any shape; obtaining particle data through the shape template; according to an extended multi-level Linked-cell method, constructing a potential contact pair list; calculating point-to-surface contact information on the vertex of the particle model; according to the normal contact force, tangential contact force and contact torque are calculated, and the particle motion state is updated; and outputting analog information. Compared with a traditional discrete element method, the high-performance level set discrete element algorithm for the particles in any shape can consider more extreme particle gradation distribution and complex particle shapes, has good calculation efficiency and can solve the problem of large-scale particle material simulation; and by establishing the shape template and the Verlet list, memory consumption and memory access delay are reduced, and the computing performance of the GPU can be fully utilized.

The application discloses a long-time-domain and reaction type combined motion trajectory generation method of a foot-type robot, which comprises the following steps: establishing an equivalent single-particle model of the robot; establishing an equivalent single-particle model cost function based on a center-of-mass acceleration vector and a foot position vector; and establishing a spatial constraint equation of a system state; then, a nonlinear optimization equation is constituted, an optimization solver is used to generate a long-time-domain center-of-mass trajectory and a foot sequence from a starting time to a termination time; a model prediction control and a velocity field guided trajectory are combined to converge the short-time-domain reaction type trajectory to the long-time-domain motion trajectory, and a global motion trajectory is generated. The motion trajectory generation method considers a motion target position, robot kinematics / dynamics and environmental constraints, allows simultaneous foot and center-of-mass trajectory optimization, and still can quickly converge to an expected position when a center-of-mass position deviates from a long-time-domain motion trajectory due to external disturbance, and has the characteristics of strong anti-disturbance ability.

The invention relates to the field of process optimization design, and relates to a particle reinforced composite material crack characterization quantification method, which comprises the following steps of: obtaining a slice image of a material shot by a CT (Computed Tomography) instrument; performing three-dimensional reconstruction according to the slice image in the slice range to obtain a three-dimensional model; performing threshold segmentation on the three-dimensional reconstruction model to obtain a three-dimensional particle model and a three-dimensional crack model; obtaining the numerical ranges of the equivalent length and the equivalent width of the three-dimensional crack model; the three-dimensional crack model is equivalent to an octahedral model; constructing a matrix finite element model method containing an octahedron model; calculating the equivalent stiffness of the matrix finite element model; and determining the equivalent elastic modulus, the equivalent Poisson's ratio and the equivalent shear modulus of the particle reinforced composite material containing the crack attribute. According to the invention, accurate acquisition and equivalent stiffness calculation of particle reinforced composite material crack damage material parameters are realized.

The invention relates to an underground reservoir coal pillar protective layer fracture water inrush large deformation prediction method and system. The method comprises the steps that a particle model containing a coal pillar protective layer, reservoir water flow and a support boundary is generated based on preset particle precision; based on a particle model, a response process of a coal pillar protection layer under a water storage-excavation coupling working condition is simulated through a meshless particle method, and the method comprises the following steps: dynamically updating particle distribution of an excavation area by adopting a particle inactivation algorithm, and simulating a thickness change of the coal pillar protection layer; based on a fluid-structure interaction contact algorithm, calculating the interaction force between the reservoir water flow and the coal pillar protection layer; the number of damaged particles is counted in real time according to the stress state of the coal pillar protective layer particles, and the crack expansion, penetration and fracture processes are identified; and generating a critical protective layer thickness, water inrush outburst time and a fracture influence range based on the damage evolution data, and outputting visual data. Through model construction, dynamic simulation, damage identification and parameter prediction, the technical bottleneck of a traditional grid method in large deformation simulation can be broken through.

The invention provides a glass coarse crushing simulation method based on discrete elements, and belongs to the technical field of glass material processing.The method comprises the steps that firstly, a stacking angle simulation model is built by means of discrete element software on the basis of actual material physical property parameters, and contact parameters between particles are obtained; then, parameters of a BPM (Bonded Particle Model) are defined by comparing a physical experiment with a simulation uniaxial compression result, and finally, the efficient and high-precision DEM simulation method for glass coarse crushing is established according to all the obtained parameters. The constructed model can truly reproduce the whole crushing process under different materials, equipment structures and process parameters, and provides key technical support for deeply understanding the mechanism, optimizing the process, improving the equipment performance and reducing the research and development cost.

The invention discloses a lunar soil coring dynamic process simulation method based on FEM-SPH coupling, and the method comprises the steps: building a three-dimensional geometric model of real lunar soil particles based on the scanning data of the real lunar soil particles; establishing a lunar soil discrete element model based on the three-dimensional geometric model; performing a virtual mechanical test on the lunar soil discrete element model, and calibrating lunar soil macromechanical parameters; constructing a drilling tool finite element model, and defining a contact relation between the drilling tool finite element model and the lunar soil; based on the calibrated lunar soil macromechanical parameters, establishing an SPH particle model of the lunar soil; coupling the drilling tool finite element model and the SPH particle model, and performing lunar soil coring dynamic process simulation based on the contact relationship to obtain bedding information disturbance and drilling tool sampling rate results. According to the method, accurate simulation of the dynamic process of lunar soil coring is achieved, and a sampling rate and bedding information disturbance quantitative basis is provided for optimization of drilling tool parameters and drilling working conditions.