71 results about "Discrete element method" patented technology

The invention discloses a direct coal liquefaction pump thermal wear prediction method considering a high temperature effect, and belongs to the technical field of fluid machinery and reliability engineering.The method comprises the steps that the high temperature effect is considered, a liquid phase control equation and a solid particle dynamic model are subjected to coupling iteration, and a solid-liquid two-phase flow numerical model is obtained; the method comprises the following steps: performing full flow field modeling on a fluid domain formed by flow passage components of a pump for direct coal liquefaction, and performing grid division on the fluid domain; constructing a heat-flow-solid multi-field coupling calculation system, and solving the solid-liquid two-phase flow numerical model by adopting a large eddy simulation method based on temperature correction and a discrete element method coupling method to obtain information of flow fields and particle fields at all positions in the pump; operation condition parameters are obtained, the thermal wear rate is obtained through a thermal wear rate calculation formula on the basis of flow field and particle field information of all positions in the pump, and the predicted wear amount of the flow passage component is obtained; and the prediction precision and applicability of the wear model are improved.

The invention discloses a CFD-DEM coupling and atomizing nozzle-based tobacco strip moisture regaining processing strength control method, which accurately controls a moisture regaining process through numerical simulation and process parameter optimization, and improves the product quality and the production efficiency. The method combines a bidirectional coupling theory of computational fluid dynamics (CFD) and a discrete element method (DEM) to simulate the movement, heat transfer and humidifying process of tobacco flakes in a moisture regaining cylinder, particularly, on the basis of a traditional CFD-DEM model, an atomizing nozzle model is innovatively introduced, a nozzle structure and an atomizing mechanism are optimized, uniform distribution of moisture is improved, and the moisture regaining effect is improved. The moisture content and temperature balance of the tobacco lamina are ensured, so that the moisture regaining effect is improved. Meanwhile, the invention provides a quantitative optimization method based on the processing strength (H), the relation between the processing strength and parameters such as temperature, moisture content and convective heat transfer coefficient is analyzed, the processing strength is kept in the optimal range by adjusting the parameters, and the stability of the moisture regaining process and the consistency of the quality of the tobacco lamina are ensured.

The invention provides a tailing particle classification method based on multi-dimensional morphological feature compression and clustering, and belongs to the technical field of geotechnical engineering, mineral processing and particle classification, and the method comprises the following steps: S1-S6, obtaining an STL file database of tailing particles; s7, calculating and extracting morphological parameters to form an original parameter data set; s8-S10: obtaining a three-dimensional morphological parameter set which retains the original morphological feature information; s11-S12, determining an optimal clustering number by adopting an elbow rule, a contour coefficient and Gap statistics, and performing particle morphology clustering grouping on the three-dimensional morphology parameters by adopting a K-means algorithm; and S13, carrying out stacking test simulation on the clustered particle categories by using a discrete element method, analyzing the stacking density and the average coordination number of different categories of particles, and verifying the physical significance of a classification result. The tailing particle classification method can systematically and efficiently integrate particle multi-dimensional form information, can directly associate the information with macroscopic physical and mechanical properties, and is data-driven, clear in mechanism and explainable in result.

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 application discloses a short-fiber reinforced ablative material bulk ablation simulation method, and belongs to the technical field of multifunctional composite materials and structure numerical simulation.The application comprises the following steps: constructing a discrete system composed of a series of spherical particle units by using a discrete element method; calculating the contact area, contact force and connecting force of the particle units by using a Hertz-Mindlin contact model and a parallel-bond model at each calculation time step; calculating the temperature of the particle units by using an energy conservation principle and a Fourier heat conduction law; calculating the displacement and angular displacement of the particle units by continuously integrating the momentum conservation equation twice; updating the velocity, displacement and diameter of each particle unit, and updating the porosity and pore pressure of the discrete system; iteratively solving and visualizing until a specific condition is met, and ending the simulation.The application characterizes the internal structure features of the short-fiber reinforced ablative material by using the discrete element method, so that the numerical simulation accuracy of the ablation process is improved, and the possibility of capturing the micro ablation mechanism is provided.

A kind of block discrete element-finite element combined modeling gas enrichment zone intelligent identification method, collects the stratum geological data and mine production data of abandoned mining area;Obtain stratum mechanical parameters and gas occurrence parameters;Establish a three-dimensional mine geological model in block discrete element UDEC;Carry out excavation, balance simulation of stoping section, and extract the stope fracture image after excavation;The stope fracture image is imported into image recognition software Coreldraw, and the coordinates of each stope fracture are obtained;A space grid model is established in MATLAB, and the permeability is given by using the relationship between the coordinates of the stope fracture and the space grid;The obtained permeability is imported into finite element software COMSOL in the form of interpolation method for gas flow simulation, and the gas emission and enrichment area are comprehensively determined. This method can accurately determine the enrichment area of underground gas in abandoned stope, and can provide scientific guidance for the layout of ground gas extraction well.

The invention discloses a numerical simulation method for soil erosion caused by rainfall. The method comprises the following steps: establishing a numerical model and boundary conditions of a simulation area; modeling a soil particle system by adopting a discrete element method; modeling a wind and fluid-solid interaction system by adopting computational fluid dynamics; modeling rainfall by adopting a discrete element method; performing CFD-DEM coupling solution and erosion process simulation, calculating movement of all soil particles and raindrops under related acting force in each time step, and updating positions and speeds of the movement; according to the updated particle positions, the porosity in each CFD grid unit is calculated; based on the relative velocity of the particles and the fluid; fluid acting force borne by each particle is calculated and aggregated into a source item in a CFD grid unit; substituting the calculated porosity and the source item into the model, and solving the updated fluid velocity field and pressure field; key interaction judgment and implementation are carried out; iteratively circulating until the set total simulation time is reached; and outputting related data of the soil particles in the simulation process.

The application discloses a recycled aggregate crushing simulation and optimization method based on a DEM particle crushing algorithm, which is based on the Griffith strength theory and the discrete element method, realizes efficient and accurate simulation of particle crushing behavior through single-particle three-dimensional stress calculation, crushing criterion establishment, fracture surface construction based on a contact point origin and sub-particle attribute inheritance, and forms a method from parameter calibration to dosage quantification; the application quantifies the maximum dosage of recycled aggregate under different highway grades and base types by revealing the mesoscopic mechanism that recycled mortar is similar to natural crushed stone in mechanical properties and recycled bricks have a decisive control on the crushing value of the mixture, and provides a theoretical reference and practical guidance for the resource high-value utilization of building solid waste recycled aggregate in road bases.

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.

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.

This invention provides a tailings particle classification method based on multi-dimensional morphological feature compression and clustering, belonging to the fields of geotechnical engineering, mineral processing, and particle classification technology. The method includes: S1-S6: acquiring an STL file database of tailings particles; S7: calculating and extracting morphological parameters to form an original parameter dataset; S8-S10: obtaining a three-dimensional morphological parameter set retaining the original morphological feature information; S11-S12: determining the optimal number of clusters using the elbow rule, silhouette coefficient, and Gap statistic, and using the K-means algorithm to cluster the three-dimensional morphological parameters into particle morphology groups; S13: using the discrete element method to conduct a stacking test simulation on the clustered particle categories, analyzing the stacking density and average coordination number of different particle categories, and verifying the physical meaning of the classification results. This tailings particle classification method can systematically and efficiently integrate multi-dimensional particle morphological information and directly correlate this information with macroscopic physical and mechanical properties. It is data-driven, has a clear mechanism, and the results are interpretable.

The invention discloses a manned lunar vehicle elastic wheel traction performance rapid evaluation method and device, and the method comprises the steps: building a virtual lunar soil model based on a discrete element method, and obtaining the ground mechanics parameters of the interaction of lunar soil and wheels through a virtual pressing plate test and a virtual shear test; on the basis of the terramechanics parameters and the wheel parameters, the wheel soil acting force is calculated through an improved semi-empirical model, so that the traction performance of the wheels is evaluated; solving a wheel soil contact parameter by adopting an iteration mode, and evaluating the traction performance of the wheel according to the calculated wheel soil acting force; wherein the improved semi-empirical model divides the contact area of the wheel and the lunar soil into an elastic contact area with elastic deformation and a rigid contact area without deformation, the wheel soil acting force in the two areas is calculated respectively, and the wheel structure parameters and the lunar soil parameters are analyzed in a simulation mode according to the wheel structure parameters and the lunar soil parameters. And the traction performance such as hook traction force, rolling resistance and rolling efficiency of the elastic wheel can be quickly calculated.

The application provides a coal mine underground hydraulic cavity forming process simulation optimization method and system, obtains target coal seam parameters, establishes a three-dimensional coal seam structure, performs model particle filling, and forms a coal numerical model; sets cavity forming parameters, establishes a model three-dimensional structure of the cavity forming system, generates abrasive particles and liquid particles according to a ratio, and sets boundary conditions; performs parameter calibration and balances the model among the particles of coal, water and abrasive; performs numerical simulation calculation of a hydraulic cavity forming process coupled with a discrete element method and computational fluid dynamics, simulates a hydraulic cavity forming operation process, and records the distribution of local stress, density and porosity in a target cavity forming area in the simulation process; according to multiple numerical simulation calculation results under different cavity forming parameters, the response relationship of pressure relief and permeability improvement effects to each hydraulic cavity forming parameter is analyzed, based on the analysis results, an optimization scheme of the hydraulic cavity forming parameters is determined, and a final hydraulic cavity forming process scheme is obtained. The application improves the accuracy and applicability of simulation.

The invention discloses a directed distance field particle shape representation processing method, system and platform based on a neural network. According to the core technology principle of the particle mechanical modeling and simulation method based on the neural network coding directed distance field, three-dimensional space coordinates are mapped into directed distance values (SDF) through multi-layer sensor (MLP) neural network learning, and therefore particles in any complex shape are implicitly represented; multi-shape unified modeling and virtual particle generation are realized by introducing a potential coding mechanism, and efficient surface projection and contact detection are realized by adopting a gradient descent and ray search combined method; finally, the trained NetSDF model and a discrete element method (DEM) are seamlessly integrated, and efficient simulation of the large-scale particle system is achieved through acceleration. The method breaks through the limitation of the traditional shape representation method in the aspects of precision, memory and computational efficiency, and provides a brand new solution for computational modeling of the granular material.

The invention relates to the technical field of mineral processing and mineral preparation equipment optimization, and discloses a Markov chain-based ball mill ball supplement parameter determination method, which comprises the following steps: determining the rock abrasion degree: acquiring the abrasion degree parameter of to-be-ground ore, the parameter being used for representing the abrasion capability of the ore to a steel ball, and determining the abrasion degree of the to-be-ground ore to a steel ball; a basic basis is provided for subsequent steel ball abrasion rule analysis; and performing numerical simulation on a steel ball abrasion evolution rule: combining physical and mechanical parameters of the ore and the steel ball based on the ore abrasion degree parameter obtained in the step a. The method comprises the following steps: establishing association between ore characteristics and steel ball abrasion through a rock abrasion degree test, constructing a steel ball abrasion evolution model by using a discrete element method, converting the size fraction of a steel ball into a Markov chain state, calculating a transition probability matrix in a ball supplementing period, and finally determining ball supplementing parameters by combining ideal and actual ball load gradation difference and a ball supplementing principle. The steel ball abrasion transfer trend can be dynamically predicted, and the over-compensation or under-compensation phenomenon is avoided.

This invention relates to a three-dimensional coupled heat transfer calculation method and system for granular phase change heat accumulators, encompassing the field of phase change heat accumulators. The method includes: constructing a one-dimensional heat transfer model of the interior of each phase change particle in the heat accumulator; obtaining the simulated particle packing morphology using the discrete element method (DEM); analyzing this result to extract the particle ID, 3D coordinates of the sphere's center, and radius parameters; generating particle geometric entities based on the 3D coordinates and radius parameters of each particle's center, and simultaneously generating the tank geometric entity of the heat accumulator, thus obtaining a three-dimensional flow field calculation domain model of the fluid domain; naming each spherical orifice in the three-dimensional flow field calculation domain model according to the particle ID and importing it into CFD software for mesh generation; solving the one-dimensional heat transfer model and the solver independently for each particle, with the solver solving the meshed three-dimensional flow field calculation domain model and the one-dimensional heat transfer model solving the phase change heat transfer process inside the particle, achieving coupling through data exchange on the particle's outer wall surface. This invention significantly improves computational efficiency while effectively ensuring computational accuracy.

The present application belongs to the technical field of ceramic injection molding, and particularly relates to a ceramic injection molding multiphase flow calculation method, equipment and medium based on lattice Boltzmann and discrete element method. The present application establishes a two-way coupling model of fluid and particles, calculates local porosity in real time in simulation, and corrects fluid evolution equation, so as to accurately characterize the heterogeneous flow characteristics of high solid content feedstock. The method can simulate the micro behaviors such as particle migration and agglomeration, predict the density gradient distribution of green body, and handle the flow mutation and blockage risk under complex mold geometry. The present application simulates the interaction between the binder and the powder in the feedstock, realizes accurate prediction of heterogeneous flow, shear-induced migration and phase separation, and also realizes accurate capture of the interaction between solid and liquid phases, flow front evolution and micro defect formation mechanism in the injection molding process, providing reliable simulation basis for process optimization and quality control.

This application provides a method and system for assessing earthquake-induced landslide risk in transportation networks in high-intensity seismic zones, relating to the field of landslide risk assessment technology. The method includes: screening key influencing factors of earthquake-induced landslides; optimizing the construction of positive and negative sample libraries; using a spatial weighted machine learning model to evaluate landslide susceptibility and generate a susceptibility zoning map; extracting parameters of potential landslide source areas based on the high-susceptibility zone identification results; using a parallel particle discrete element method to simulate the entire landslide movement process to obtain hazard parameters; inputting the hazard parameters into a transportation engineering structure vulnerability model to quantitatively calculate the failure probability; and fusing the susceptibility probability and structural vulnerability results to generate a risk zoning map based on road network units. The final results of this application are directly applicable to the operation and maintenance management of transportation infrastructure. The provided risk zoning map can be directly used to guide the optimal allocation of risk control resources, the formulation of emergency plans, and the seismic resilience design of engineering projects, demonstrating clear application value.

The invention discloses a high-pressure roller mill wear prediction and service life evaluation method based on DEM-FEM coupling simulation. The method comprises the following steps: constructing a roller mill simplified model through modeling software; the method comprises the following steps: simulating crushing and contact behaviors of grinding material particles based on a discrete element method (DEM), and quantifying interaction between the particles and interaction between the particles and a roller surface by adopting a Hertz-Mindlin contact model and a Tavaries crushing model; analyzing stress and deformation characteristics of a roll shaft structure based on a finite element method (FEM), mapping particle contact force output by discrete elements into a distributed load of a finite element model by utilizing a mechanical equilibrium equation, and solving roll shaft contact stress, strain and plastic deformation distribution; and calculating the instantaneous wear loss based on an Archard wear model, converting the instantaneous wear loss under multiple working conditions into a damage index in combination with a linear cumulative damage theory, and judging the service life of the roller surface when the total damage index reaches a threshold value. According to the invention, accurate prediction of roller surface wear and scientific evaluation of service life under the action of multiple working conditions are realized.

The invention discloses a method for simulating dynamic characteristics of a granular material under high-frequency vibration. The method comprises the following steps: S1, constructing a model; s2, calibrating parameters; s3, performing a static shear experiment; s4, vibration loading; s5, carrying out an orthogonal test; and S6, mechanical property analysis. The simulation system comprises a model construction module, a parameter calibration module, an orthogonal test module, a load application module and a dynamic mechanical property analysis module. The triaxial sample model is constructed based on the discrete element method, the physical characteristics of sample particles can be changed at will, the mechanical characteristics of particle materials under complex working conditions can be simulated by applying vibration with different load characteristics to the model, the test cost is reduced, and the mechanical characteristics of the particle materials under complex working conditions can be simulated by performing microscopic parameter calibration. The test precision and the reliability of the test result are improved.

The present application belongs to the technical field of wheat plant modeling, and discloses a general modeling method of wheat plant tillering geometric model based on the discrete element method, which comprises: statistically analyzing shape parameters of wheat tillering plants to obtain single tiller modeling parameters and root system modeling parameters; constructing a single tiller model framework, including: a stem model and a wheat ear model; calculating expressions of each component spherical coordinate of the stem model and the wheat ear model according to the single tiller modeling parameters to obtain a single tiller general model; combining a single tiller general model as a main stem model and multiple single tiller general models as tiller plant models to obtain a plant general model; constructing a root system model framework, including: a tillering node model, a primary root model and multiple secondary root models; calculating expressions of each component spherical coordinate of the tillering node model, the primary root model and the secondary root models according to the root system modeling parameters to obtain a root system general model; and combining the root system general model with the plant general model to obtain a wheat plant tillering geometric general model.

The invention discloses a blasting process simulation method and system based on bidirectional fluid-solid coupling, and relates to the technical field of rock blasting. The method comprises the following steps: firstly, modeling a solid computational domain by adopting a discrete element method, and modeling a fluid computational domain by adopting a finite volume method; and then applying a dynamic load to simulate an initial crack in a shock wave stage, mapping crack information to a fluid computational domain grid, dynamically updating local permeability, solving a compressible gas diffusion equation, applying a pressure field to the surface of a solid computational domain particle through an interpolation method, and driving the crack to continuously expand. A fluid-solid two-way feedback mechanism covering detonation gas and rock is established, through closed-loop coupling of crack-permeability-gas pressure-new crack, the driving effect of gas at the tip of the crack is accurately captured, the experimental crack form can be accurately reproduced, and the experiment precision is improved. And the influence of the initial air pressure on the crushing range, the crack number and the damage mode can be quantitatively analyzed, and the method is suitable for blasting optimization design under the condition of high-gas-yield explosives.

The application discloses a kind of multi-cluster fracturing fracture and proppant transport coupling simulation and quantitative characterization method, comprising the following steps: (1) collecting geological and engineering parameters;(2) establishing fluid flow equation;(3) establishing fracture constitutive equation;(4) establishing proppant transport equation group;(5) comprehensive step (2)-(4) establishes the coupling model of multi-cluster fracturing fracture and proppant transport;(6) by the quantitative characterization of the uniformity of multi-cluster fracturing fracture propagation and the uniformity of proppant placement in fracture through the uniformity index of multi-cluster fracturing fracture propagation;(7) the parameters of step (1) are substituted into step (5) to simulate the propagation morphology of multi-cluster fracturing fracture and the proppant placement morphology in fracture under different engineering parameters, and quantitatively characterized by step (6).The application is based on three-dimensional block discrete element method, establishes the coupling model of multi-cluster fracturing fracture propagation and proppant transport considering the influence of barrier and weak plane, analyzes the influence of different engineering parameters on fracturing fracture propagation and proppant transport, and provides theoretical guidance for predicting and optimizing the propagation morphology of multi-cluster fracturing fracture and the proppant placement morphology in fracture in complex reservoir.

The invention discloses a micro-laser selective melting numerical calculation method based on a laser-powder particle-molten drop-steam coupling effect. Belongs to the technical field of additive manufacturing simulation. According to the method, momentum and energy of metal powder particles are calculated through a discrete element method (DEM); metal steam and environment gas are calculated by adding a steam model on a gas-liquid interface, and momentum and energy of a liquid phase and a gas phase are calculated by adopting a fluid dynamics (CFD) method; information such as volume fraction, momentum and energy is transmitted between the DEM and the CFD through a bidirectional coupling equation. Therefore, a multi-phase and multi-physical-field coupled molten pool high-fidelity numerical model is established, and intra-phase and inter-phase interaction and thermally-induced phase change including melting, vaporization and solidification are achieved. And an effective means is provided for accurately predicting defects such as splashing, denudation and pores of the molten pool.

The application discloses a particle numerical simulation acceleration method based on ray tracing, and the method is accelerated by a GPU-based ray tracing core, and the method comprises the following steps: expanding a search range of a to-be-searched particle into a neighborhood search area bounding box, wherein the neighborhood search area bounding box comprises a plurality of surrounding particles located around the to-be-searched particle; calling the ray tracing core of the GPU to emit rays from the centers of the surrounding particles respectively, and detecting whether the rays intersect with the neighborhood search area bounding box; and calling an intersection program to update a neighbor list when the rays intersect with the neighborhood search area bounding box. Therefore, the method can apply the ray tracing core to particle numerical simulation methods such as a discrete element method, a molecular dynamics method, a near-field dynamics method and a smoothed particle hydrodynamics method, can fully utilize GPU computing resources, can improve the computing efficiency of the particle numerical simulation method, and can promote the high-performance computing field of related industrial software.

An integrated process-structure-property modeling framework for design optimization and / or performance prediction of a material system includes a powder spreading model using a discrete element method (DEM) to generate a powder bed; a thermal-fluid flow model of the powder melting process to predict voids and temperature profile; a cellular automaton (CA) model to simulate grain growth based on the temperature profile; and a reduced-order micromechanics model to predict mechanical properties and fatigue resistance of resultant structures by resolving the voids and grains.

The application discloses a landslide sliding simulation method for real-time change of rock-soil body parameters under rainfall infiltration, and comprises the following steps: a particle discrete element method (DEM) landslide model is established, rock-soil body parameters and boundary conditions are set, static force balance calculation is carried out to obtain an initial state of the landslide; grid division is carried out, seepage calculation grids are established, initial water content and seepage parameters in the fluid grids are valued, and the grids are grouped according to the particles; the boundary conditions of the landslide model are set to simulate rainfall infiltration, and the water content in the fluid grids is stored at a fixed time interval; the stored grid water content is called to modify the rock-soil body parameters in the grids in real time, and whether the landslide slides at the rainfall moment is calculated and obtained; if the landslide does not slide, the water content stored in the grids at the next moment is called to modify the rock-soil body parameters, and the landslide is re-solved and judged; if the landslide slides, additional solving calculation is carried out to obtain the movement of the landslide after sliding and the final accumulation form. The application realizes the simulation of the space-time change characteristics of the water content of the rock-soil landslide under the rainfall infiltration, realizes the simulation of the sliding duration of the landslide, the movement of the landslide after sliding and the final accumulation form after sliding under the rainfall, and overcomes the defects that the rock-soil body parameters are fixed and unchanged in the previous research on the rainfall infiltration landslide movement process.

The invention discloses a semi-autogenous mill lining plate abrasion loss estimation method based on digital twinning, and belongs to the technical field of mineral processing equipment. The method comprises the following steps: constructing a semi-autogenous mill lining plate abrasion loss estimation digital twinborn model; setting an initial ore filling rate, a steel ball filling rate, an application condition and an application range of the digital twin model; according to the historical roller rotating speed, the ore feeding amount and the ball feeding amount data of the semi-autogenous mill, the equal amount of ore steel ball particles are generated and added into a barrel of the semi-autogenous mill lining plate abrasion loss estimation digital twinborn model; numerical simulation is conducted, and the abrasion loss of the lining plate of the semi-autogenous mill is calculated; the time sequence generative adversarial network starts to perform enhancement and expansion according to the ratio of the input data to the generated data being 1: 30; and performing error calculation and correcting the model to obtain a final result. Compared with a discrete element method, the method has the advantages that the problems of long simulation time and simulation result hysteresis quality are effectively solved, and development of the lining plate abrasion loss estimation method in a semi-autogenous mill intelligent system control loop is facilitated.

The invention provides an overlying strata isolation grouting slurry diffusion rule detection method which comprises the following steps: acquiring slurry parameters, and determining grouting process parameters and a slurry prediction diffusion range according to the slurry parameters; geological measurement holes are formed according to the slurry prediction diffusion range, and geological detection devices are arranged in the geological measurement holes; according to the slurry prediction diffusion range, utilizing a geophysical prospecting detection system to detect so as to obtain geophysical prospecting monitoring data; grouting is conducted according to the grouting technological parameters, and the grouting technological parameters are adjusted in real time; after grouting is completed, full-diameter rock core physical parameters are obtained through drilling, and actual separation layer grouting parameters are obtained; a discrete element method numerical model is established according to geophysical prospecting monitoring data, actual separation layer grouting parameters and grout parameters, working conditions are dynamically simulated, grouting effect simulation data are obtained, and grouting process parameters are optimized. Through arrangement of the detection system, geophysical prospecting and drilling, the slurry diffusion rule is analyzed, a discrete element method numerical model is established to simulate working conditions, grouting process parameters are optimized, and engineering practice can be effectively guided.

The application relates to a kind of porous heat-resistant material ultra-high speed impact damage analysis method, belong to reusable spacecraft heat protection field.First, set initial material parameter, establish porous heat-resistant material model based on discrete element method, according to the density of simulated porous material and material component, the number of various types of particle microelement in the calculation domain of given size is calculated, and the particle of specified number and parameter is generated in random position and direction in the calculation domain.Fiber particle microelement or other irregular particle microelement in the skeleton model of porous material is replaced by the combination of spherical particles, the first connecting key is used between spherical particles, sintering between fiber particle microelement is simulated by the second connecting key, the porous heat-resistant material model is generated, space debris impact porous heat-resistant material simulation calculation is carried out, and the mechanical property degradation law of porous heat-resistant material after being impacted by space debris at ultra-high speed is evaluated.The model established by the application has high precision and good calculation stability.