35 results about "Dynamical simulation" patented technology

The invention provides a deep rock mass creep-seepage coupled near-field dynamics simulation method and system, and relates to the technical field of geotechnical engineering.The method comprises the steps that a near-field dynamics numerical calculation model is established based on geological survey data; based on the Burgers creep constitutive model, a near-field dynamic creep-seepage coupling basic motion equation is formed; and carrying out rock mass creep process simulation considering the seepage effect by utilizing the near-field dynamics numerical calculation model and the creep-seepage coupling basic motion equation, and carrying out iterative solution on stress, strain, displacement, water pressure and damage of each time step in the simulation process until iteration stop conditions are met, so as to obtain the rock mass creep process. And finally, obtaining distribution characteristics of a rock mass displacement field, a damage field and a seepage field and a creep characteristic curve, and realizing near-field dynamic simulation of a rock mass creep-seepage coupling process. According to the method, the technical blank of near-field dynamics in the field is filled, and the long-term stability of the engineering rock mass and the disaster evolution process are accurately reproduced and predicted.

The invention discloses a particle accelerator multi-particle dynamics efficient simulation method, system and device and a medium. The method comprises the steps that a small number of macro particles are sampled from an initial macro particle beam to form a new macro particle beam; performing multi-particle beam flow dynamics simulation on the new macro particle beams by adopting a PIC algorithm, and projecting the new macro particle beams to four two-dimensional phase spaces in a distributed manner to generate low-resolution phase diagrams of the four two-dimensional phase spaces; obtaining beam physical parameters based on the new macro particle beam; and inputting the low-resolution phase diagram and the beam physical parameters into a beam halo super-resolution network, and outputting a high-resolution phase diagram of each phase space to realize multi-particle beam flow dynamics simulation. Therefore, by combining a traditional numerical calculation method and an artificial intelligence technology, the problem that an existing artificial intelligence algorithm is weak in generalization ability in the field of beam dynamics simulation is solved, rapid and high-precision simulation of the large-scale multi-particle beam flow dynamics process is achieved, and the method is applied to the field of particle accelerator beam dynamics simulation.

The invention discloses a fan site selection method and system based on different-mode nested grids, and belongs to the technical field of fan site selection, and the method comprises the steps: firstly constructing a large-region sea ice background field by using global data to preliminarily screen candidate regions, then constructing a small-region high-resolution background field through a grid nesting technology, and carrying out the dynamic simulation, according to the method, a sea ice evolution field is obtained, an initial field is corrected by fusing field and satellite data, errors are quantized, comprehensive scoring is carried out to screen target site selection, finally, simulation parameters are dynamically optimized according to actually measured data, and a final site selection is determined through iterative correction. According to the method, multi-scale evaluation from macroscopic preliminary screening to microcosmic fine screening is realized, and through data fusion and dynamic optimization, the precision and reliability of fan site selection in a complex sea ice environment are remarkably improved.

The invention discloses a personalized display recommendation method based on multi-dimensional behavior characteristics. The method comprises the steps that S1, multi-dimensional behavior data of a user is collected and analyzed into a cognitive discharge event; s2, performing time sequence fusion and dynamic attenuation processing on the event stream, and constructing a user cognitive vector; s3, using a ColBERT model to encode display content, and constructing a content semantic field tensor; s4, calculating a semantic association degree based on the tensor set, and constructing a content universe network; s5, mapping the user cognitive vector and the content universe into an improved HMC algorithm, introducing a cognitive inertia factor, simulating a particle dynamics trajectory, and calculating resonance intensity; s6, inputting the resonance intensity list into a prediction model to generate a predictive recommendation list; and S7, selecting and rendering a final display form according to the list. According to the method, deep modeling of the cognitive state of the user and accurate quantification of the content value are achieved, and the recommendation accuracy and timeliness are remarkably improved through dynamic simulation and trend prediction.

The invention relates to the technical field of die casting intelligent manufacturing, and discloses an online monitoring and process compensation method and system for residual stress and deformation of a die casting. The method comprises the following steps: embedding a distributed temperature-stress composite sensor array in a mold cavity, and synchronously acquiring temperature and stress signals; after the signal is purified, a space-time correlation matrix is constructed to quantify a thermal-mechanical coupling relation; identifying a stress distribution mode through a support vector machine model, and positioning a fluctuation abnormal region; analyzing a defect mechanism based on mutual information and Granger causality test, and calculating a pore formation probability in combination with fluid dynamics simulation data; matching the pore high-risk location with a historical crack correlation model to generate a crack prediction index; and performing inversion optimization on the mold filling speed and pressure parameters by using the potential quality hazard evaluation function. Real-time monitoring of residual stress and deformation in the die-casting process, defect dynamic traceability and process online optimization are achieved, and air hole and crack defects are effectively restrained.

The invention provides an urban inland inundation simulation method and a risk early-warning risk-avoiding system based on coupling of a one-dimensional model and a two-dimensional model. The method comprises the following steps: performing one-dimensional and two-dimensional hydrodynamic simulation on urban inland inundation rainstorm and flood based on SWMM and OpenFOAM; establishing a water exchange interface between the first model and the second model, dynamically calculating exchange flow according to a water level relationship, and establishing and executing a two-dimensional model coupling mechanism; based on a coupling mechanism, running simulation and outputting data and results; building an urban model based on a Cesium platform, and inputting flood routing data obtained based on model coupling to realize visual simulation of urban inland inundation flood routing; a risk early-warning risk-avoiding system is built on the basis of a visual result and in combination with emergency management theoretical knowledge and comprises a waterlogging simulation module, an early-warning module, a risk zoning module and a risk-avoiding transfer module; risk area division of a target area is realized based on double factors of water depth and flow velocity, and a corresponding optimal risk avoiding route is planned based on a Dijkstra algorithm.

The invention relates to the technical field of steel rail damage, and provides a near-field dynamics simulation method for steel rail head multi-crack competitive propagation, which comprises the following steps: establishing a near-field dynamics plane stress model of a steel rail head and dispersing the near-field dynamics plane stress model into particles; defining a particle interaction domain by adopting a double-vision-field key-based near-field dynamics method; setting boundary conditions and introducing a plurality of initial cracks on the surface of the rail head; applying a load to simulate a wheel-rail rolling contact process; simulating a multi-crack competitive expansion behavior based on the fracture state and fatigue life evolution of the key; and the interaction between the cracks is quantified by calculating the opening displacement and the sliding displacement of the crack tip. According to the method, the limitation that only a single crack can be simulated in the prior art is overcome, competitive expansion high-precision simulation of multiple cracks under the dynamic load is realized, the experiment cost is remarkably reduced, and a scientific basis is provided for steel rail fatigue damage assessment and maintenance decision making.

The invention discloses a SiC wafer surface oxidation behavior simulation method, system and device, and relates to the technical field of molecular dynamics simulation, and the method comprises the following steps: initializing a plurality of roughness related parameters in MATLAB, and setting simulation box sizes of a Si surface initial model and a C surface initial model; reading atomic positions in the Si surface initial model and the C surface initial model; circulation is carried out on different roughness related parameters, and a corresponding rough surface is generated in each circulation; cutting atomic positions based on different rough surfaces to obtain a plurality of Si surface roughness models and C surface roughness models, and inputting the Si surface roughness models and the C surface roughness models to LAMMPS; and performing OH deposition on the Si surface roughness models and the C surface roughness models in the LAMMPS, and simulating the surface oxidation process. According to the method, by introducing the random roughness, the rough morphology of the SiC surface is accurately simulated, and the authenticity and practicability of research are remarkably improved.

The invention relates to the technical field of water treatment intelligent control, and discloses a biochar adsorption capacity dynamics simulation and prediction system, which comprises a data acquisition module, an Arrhenius equation is utilized to introduce a temperature correction coefficient to carry out thermodynamic compensation on an adsorption dynamics constant; the flow state recognition module judges a forward adsorption or reverse desorption working condition based on a Langmuir model; the resistance decoupling module is used for calculating a mass transfer Biot number based on a double-membrane theory so as to distinguish diffusion resistance in a liquid membrane and particles, and distinguishing physical blockage and chemical saturation by utilizing a physical blockage index; the lag compensation module introduces a lag correction factor to correct the desorption equilibrium concentration, and calculates the recovery adsorption capacity during the reverse desorption period; and the life prediction module corrects the theoretical residual capacity by using the dynamic utilization rate coefficient and generates an operation and maintenance instruction. According to the invention, through resistance decoupling and lag compensation mechanisms, physical and chemical attenuation mechanisms are effectively distinguished, and accurate prediction of the adsorption penetration time under the dynamic working condition is realized.

The invention discloses a construction and analysis method and a simulation system of a dynamic model of bubbles in a liquid cavity in a viscoelastic tissue, and a numerical simulation system for performing a cavitation effect in high-intensity focused ultrasound therapy based on the model, and the method comprises the following steps: firstly, establishing a modified microbubble dynamic model based on a Keller-Miksis equation; microbubbles are placed in a liquid cavity wrapped by viscoelastic tissue, the constraint relation of the radius of the liquid cavity to the radius of the bubbles is introduced, and the viscoelastic stress-strain relation of the tissue is described by adopting a Voigt model, so that a cavitation kinetic model closer to the actual biological tissue is constructed. Secondly, the sound pressure waveform of the focus area is obtained through HIFU sound field simulation; and finally, taking the simulated sound pressure as a drive input kinetic model, and solving to obtain a microbubble oscillation behavior, tissue internal stress distribution and maximum compression stress. The system comprises a model building module, a sound field simulation module and a dynamics simulation module. According to the method, the cavitation dynamic process in the tissue under the action of the HIFU can be more accurately simulated, and an effective numerical analysis tool is provided for analyzing the tissue damage related to cavitation.

A simulator is provided. The simulator includes a kingpin configured to couple to a fifth-wheel of a vehicle, a vertical actuator attached to the kingpin and configured to vertically actuate the kingpin, a horizontal actuator attached to the vertical actuator and configured to horizontally actuate the kingpin, and a simulation controller communicatively coupled to the vertical actuator and the horizontal actuator. The simulation controller is configured to retrieve predefined scenario data from a memory device and control the vertical actuator and the horizontal actuator based on the predefined scenario data to simulate mechanical effects of a trailer on the vehicle.

This invention discloses a smart construction site management method and system based on the Internet of Things (IoT), relating to the field of smart construction site environmental control technology. The method includes performing vector projection on the point cloud of the material storage area's surface to obtain the tangential wind speed components of the surface points, calculating the voxel center elevation difference of the three-dimensional point cloud, screening wind erosion active areas, uniformly dividing the wind erosion active areas into sub-zones, calculating the horizontal drift distance, predicting the landing center coordinates, and generating a predicted landing circle; calculating the fog cannon coverage circle, determining the spatial intersection of the predicted landing circle and the fog cannon coverage circle, calculating the fog cannon activation time in the control area, and sending the activation time to the fog cannon for execution. This invention improves the dynamic simulation capability of dust particle falling behavior by combining particle size distribution quantification with a settling velocity estimation model, and improves the accuracy of dust fall range prediction by calculating the horizontal drift of dust particles combined with a landing circle prediction model.

The application provides a coarse-grained molecular dynamics simulation and analysis method for researching microstructure properties of electroplating liquid, the coarse-grained model is used instead of the full atomic model, the molecular details which have less influence on system properties are ignored, a few atomic groups are used as basic units of simulation for modeling and simulation, so that the time required for the evolution of the whole system is reduced, and the time scale of the system simulation is prolonged. The interaction between components is described by a classical physical potential. By fitting and adjusting the interaction force parameters between different components, the method of the application can well approximate and model different component electroplating liquid systems, and reproduce experimental phenomena on the microscale.

The invention discloses a construction method of a large-scale reaction molecule simulation visual full-molecular structure library, and belongs to the technical field of reaction molecule dynamics simulation. The construction method comprises the following steps: (1) correcting excessive bonding; (2) preliminarily identifying a molecular structure; (3) molecular structure optimization; (4) outputting a molecular structure; (5) molecular visualization and property prediction; and (6) constructing a visual molecular library. According to the construction method, macromolecule segmentation processing and data acquisition are realized based on a self-defined atom number threshold value, and acquisition of molecular information such as atom ID, element symbols, three-dimensional coordinates, a two-dimensional structure (2D) and a three-dimensional structure (3D) is realized. According to the method, a large-scale reaction molecular dynamics simulation visual full-molecular structure library can be constructed, relatively accurate prediction of the molecular structure is realized, and the method can be widely applied to basic research in chemistry, materials, biology and related fields.

The invention provides a method for designing a ferrite core based on multi-scale analog computation. According to the method, basic parameters of the ferrite material are collected, the electronic structure, the microstructure and the macroscopic magnetic performance of the ferrite material are subjected to analog calculation by combining a time-dependent density functional theory, molecular dynamics simulation and a multi-scale simulation technology of finite element analysis, the structure and components of the ferrite material and the shape structure of a ferrite device are optimized, and the performance of the ferrite device is improved. And the design of high-performance ferrite materials and devices is realized. According to the method, the material design efficiency is improved, the experiment cost is reduced, and the important application value is achieved.

The invention discloses an intelligent design method of a high-strength single-phase body-centered cubic high-entropy alloy based on lattice distortion engineering, which comprises the following steps of: constructing a component space, carrying out molecular dynamics simulation and structure screening, screening out components with a stable single-phase body-centered cubic structure, and carrying out high-strength single-phase body-centered cubic high-entropy alloy design. The strongest peak intensity of an atom radial distribution function is innovatively adopted as a lattice distortion quantitative index, a component-performance associated data set is constructed in combination with molecular dynamics simulation, and a hybrid machine learning model fusing a generative adversarial network and Bayesian optimization is developed. According to the method, alloy components with large lattice distortion can be quickly and accurately screened in a more than trillion-level component space. According to the method, the limitation of a traditional trial and error method is broken through, the screening efficiency is improved in an exponential level, screened components show significant lattice distortion, the obtained alloy keeps a single centered cubic phase structure, the room-temperature yield strength reaches 1,300 MPa, and an efficient and reliable new normal form is provided for high-toughness material design in the fields of aerospace, nuclear energy equipment and the like.

The invention relates to the technical field of tunnel engineering, in particular to a near-field dynamics simulation method and system for tunnel yielding support, and the method comprises the steps: dispersing a lining, a steel bar and a high polymer buffer layer model into space material points, distributing different material attributes for different materials, and generating a space coordinate matrix of the material points; a virtual boundary layer serving as a displacement boundary condition applying object is arranged on the outer wall of the lining; determining neighborhoods of the material points, and forming a neighborhood matrix of all the material points; setting a displacement boundary condition according to the large deformation grade; obtaining a compression constitutive model of the high polymer buffer layer, and calculating a micro-elastic modulus; adopting a self-adaptive dynamic relaxation algorithm to construct a near-field kinetic equation to iteratively solve the bond elongation of the material point; and calculating a global damage coefficient according to a comparison result of the key elongation and the critical elongation. According to the invention, crack initiation and development can be simulated on an engineering scale model, and a protection mechanism of an interlayer high polymer buffer layer for large deformation of soft rock is disclosed.

The invention discloses a simulation method for analyzing microscopic behavior properties of an alcohol-water system in a porous carbon material, which is characterized by comprising the following steps of: 1, constructing and optimizing a model; 2, a porous carbon model characterization step; 3, constructing an ethanol-water system model; 4, an ethanol-water-porous carbon model combination step; 5, a dynamic simulation calculation step; and step 6, result statistics and analysis. The microcosmic influence mechanism of the porous carbon material on the alcohol-water system is analyzed by utilizing computer simulation and quantum chemistry theories, and the provided simulation analysis method can provide theoretical support and mechanism interpretation for subsequent optimization of an alcoholic beverage processing technology.

The present application relates to the field of civil engineering material simulation technology, and provides a kind of track slab SCC multi-phase mesoscopic fatigue damage near-field dynamics simulation method, comprising: according to four-point bending fatigue test to establish two-dimensional mesoscopic near-field dynamics model;Meshless discretization is carried out to the model;Define the material parameters of cement mortar, coarse aggregate and interface transition zone;Set boundary conditions;Random polygon aggregate is generated by taking and placing method to simulate mesoscopic heterogeneous structure;Mark particle and key type;Apply cyclic loading;Damage evolution calculation is carried out based on the maximum key elongation criterion and fatigue life model;Finally, the calculation is terminated by particle damage index judgment.The present application can realize the accurate simulation of the whole process from crack initiation to expansion of CRTS III type track slab self-compacting concrete, provide effective numerical analysis tool for revealing the influence mechanism of aggregate distribution randomness on fatigue performance, and thus provide theoretical basis for track structure durability design and maintenance.

The invention discloses a drag-free control ground verification method based on active control of two-stage torsional pendulum, which comprises the following steps of: suppressing the influence of ground vibration noise on free motion of a test mass in an inertial space to be below 10% of the original noise, and constructing a local inertial reference at the test mass; the problem that inertial space motion is difficult to simulate on the ground by a traditional method is effectively solved; secondly, a high-precision numerical model and a six-degree-of-freedom displacement platform are combined through a hybrid real-time simulation technology, and the high-fidelity on-orbit dynamics simulation capability is achieved. The experimental device has relatively high space-ground consistency, can realize ground high-precision representation of an on-orbit drag-free tracking process of a spacecraft, and provides a new solution thought for ground verification of a space drag-free task. In addition, compared with a complex dynamic equivalent system constructed on the ground, the solution provided by the invention has the characteristics of being easy to implement and low in complexity.

The invention discloses an intelligent construction site management method and system based on the Internet of Things, and relates to the technical field of intelligent construction site environment control, and the method comprises the steps: carrying out the vector projection of a pile body surface point cloud in a material stacking area, obtaining a tangential wind speed component of a surface point, calculating the voxel center elevation difference of a three-dimensional point cloud, and screening a wind erosion active area. Uniformly dividing the wind erosion active region into sub-bands, calculating a horizontal drift distance, predicting a landing center coordinate, and generating a predicted landing circular domain; and calculating a fog gun coverage circular domain, performing spatial intersection judgment on the predicted landing circular domain and the fog gun coverage circular domain, calculating the starting time of the fog gun in the control region, and sending the starting time to the fog gun and executing the starting time. According to the invention, through combination of particle size distribution quantification and a sedimentation velocity calculation model, the dynamic simulation capability of dust particle falling behaviors is improved, and through combination of dust particle horizontal drift calculation and a landing circular domain prediction model, the precision of dust falling range prediction is improved.

The invention discloses a method for simulating an insulating gas thermal decomposition process based on a deep learning potential function, and relates to the technical field of insulating gas molecular dynamics simulation. The method comprises the following steps of: simulating a target insulating gas system by adopting a de novo calculation molecular dynamics method based on a density functional theory, and acquiring atomic coordinates, total energy corresponding to each frame of atomic configuration, acting force borne by atoms and a Virie tensor to form an initial data set; constructing an initial deep learning potential function model, training, verifying and testing, and outputting to obtain an optimal deep learning potential function model; and performing molecular dynamics simulation on the thermal decomposition process of the unknown insulating gas by using the optimal deep learning potential function model to obtain a molecular dynamics simulation track. According to the invention, super-large-scale molecular dynamics simulation of the thermal decomposition process of the complex insulating gas is realized, and a temperature-dependent reaction dynamics law and a chemical bond fracture mechanism which cannot be obtained by a traditional simulation method can be disclosed.

The invention discloses a lunar surface mobile general GNC semi-physical test system and method based on real-time simulation. Comprising a lunar surface dynamics simulation subsystem for modeling a mobile platform, a sensor, a lunar surface terrain, a wheel-land action relationship and the like, performing movement control according to a control instruction, and outputting real movement responses such as poses and the like; the lunar surface scene rendering subsystem is used for modeling lunar surface meteorite craters, sloping fields, stones and the like, rendering typical lunar surface scenes and outputting images and point cloud information; and the GNC control subsystem is used for performing GNC closed-loop simulation according to the input movement response and the image point cloud information, realizing functional simulation such as navigation positioning and attitude determination, obstacle perception and the like, and resolving and outputting a control instruction through a control law. Information interaction is carried out among the subsystems through a serial port or the Ethernet, through clock synchronization and modular design, the sub-modules are independent and replaceable, universality and high precision are considered, the problem that a lunar surface test is not feasible is effectively solved, and a reliable lunar surface GNC verification means is provided.

The present application belongs to the technical field of oil and gas exploitation, and relates to a CO2-WAG oil displacement interface fold multi-scale characterization method. The present application aims at the technical bottleneck that the CO2-WAG oil displacement field lacks a dynamic and quantitative interface fold characterization method suitable for actual reservoir conditions, and constructs a multi-scale collaborative characterization system of cores, microfluidic chips and molecular dynamics simulation. The key parameters of the fold are quantified at the core scale, the interface evolution is dynamically tracked and the fold characteristics are quantified at the microfluidic chip scale, and the fold formation and evolution mechanism is revealed from the molecular level at the molecular dynamics simulation scale. The three are mutually verified and progressively advanced, realizing full-dimensional characterization from the macroscopic to the molecular level, providing core technical support for elucidating the regulation mechanism of the interface fold on the CO2-WAG oil displacement efficiency. The method has a standardized process, controllable operation, unified and clear indicators, is suitable for different reservoirs and is convenient for result reuse, and has important significance for promoting the research and development and industrial application of low-carbon and efficient oil displacement technology.

1. Name of the product in this design: A dynamic graphical user interface for generating animations for electronic devices. 2. Intended use of this design: for use in electronic devices. 3. The key design features of this product are its graphical user interface content. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Application of the graphical user interface: Used in the dynamic simulation test of steel fiber reinforced concrete pipe segments to generate animations from test data. 6. Human-computer interaction method of graphical user interface: The main view displays the homepage of the dynamic simulation experiment, as shown in the main view reference diagram; From the main view, clicking the "Select VTK Folder" button leads to interface state change diagram 1, displaying the data folder page for near-field dynamics calculation, as shown in interface state change diagram 1; After selecting the data folder from interface state change diagram 1, clicking the "Select Folder" button leads to interface state change diagram 2, displaying the data options page for near-field dynamics calculation, as shown in interface state change diagram 2; After selecting the display mode, particle size, particle radius, and selected frame from interface state change diagram 2, clicking the "Display Calculation Results" button leads to interface state change diagram 3, displaying the data results of the near-field dynamics calculation. The first page shows the interface changes, as shown in Figure 3. After clicking the "Save As Animation" button (Figure 3), the user enters the "Save As Animation File" page (Figure 4). After selecting the animation file and clicking the "Save" button (Figure 4), the user enters the "Animation Export Parameters" page (Figure 5). After entering the frame rate and resolution parameters in the export parameters box (Figure 5), the user clicks the "Save" button, leading to the next two pages (Figures 6-8), which display a dynamic progress bar indicating the animation's progress.

The invention discloses a reverse osmosis membrane assembly separation net structure parameter optimization method based on explicit dynamics, and relates to the technical field of reverse osmosis membranes, and the method comprises the following steps: establishing a geometric model of a reverse osmosis membrane assembly; editing the material data; geometric model grids are divided; setting boundary conditions and solving the deformation depth of the reverse osmosis membrane. The method comprises the following steps of: modifying relevant parameters, repeating the operation, carrying out simulation solution for multiple times, arranging data obtained by the simulation solution for multiple times, establishing a database, and optimizing in the database by taking reduction of reverse osmosis membrane deformation and membrane component energy consumption as a target to seek an optimal separation net parameter. The reverse osmosis membrane deformation state caused by different separation net parameters of the reverse osmosis membrane assembly is predicted through an explicit dynamics simulation method, and a new method is provided for optimizing the performance of the reverse osmosis membrane assembly.

The application discloses a CO2-ion water flooding molecular dynamics simulation method and belongs to the technical field of CO2 oil displacement. The method comprises the following steps: establishing oil molecule models, water molecule models, CO2 molecule models, CaCl2 molecule models and graphene plate models corresponding to the characteristics of a target oil reservoir; optimizing the geometric structures of the models; assembling the optimized molecular models into a CO2-CaCl2-H2O ternary displacement system and performing molecular dynamics simulation; selecting an NVT ensemble during simulation, applying a periodic boundary condition, adopting a COMPASS II force field and configuring atomic potential parameters, running energy minimization and temperature initialization, and then performing displacement process simulation; quantitatively evaluating the oil displacement effect of the displacement medium of the CO2-CaCl2-H2O ternary system based on a trajectory file output by simulation; and the application can better explain the behavior of molecules under the synergistic action of multiple displacement media, reflect the oil displacement microscopic mechanism under the synergistic action of multiple displacement media, and has important significance for optimizing the development effect of tight oil reservoirs and improving the recovery rate.

An avalanche dynamics simulation device disclosed by the present invention comprises a snow box, a slope slideway, an air outlet assembly, an air processing assembly and a monitoring assembly, the air outlet assembly comprises a plurality of first air exhaust boxes and a plurality of second air exhaust boxes, the first air exhaust boxes and the second air exhaust boxes are connected with an air source through first pipelines, the first air exhaust boxes are arranged on the side wall of the snow box, and the second air exhaust boxes are arranged on the side wall of the snow box. The second exhaust box is arranged on the bottom side of the slope slide way, and the output end of the second exhaust box is communicated with the slope slide way; the air processing assembly is arranged on the first pipeline and located between the air source and the air outlet assembly and comprises a temperature regulator, a pressure reducer and a dryer. The monitoring assembly comprises a control processing terminal, a plurality of first pressure sensors and a plurality of second pressure sensors, the first pressure sensors are arranged in the snow box, the second pressure sensors are arranged on the slope slide way, and the control processing terminal is electrically connected with the air processing assembly, the first pressure sensors and the second pressure sensors; the invention provides the avalanche simulation device which can simulate and monitor the whole process and can regulate and control the power.

This invention discloses a molecular dynamics simulation method for generating and coating rough surfaces. The model is a cuboid structure consisting of a substrate and a lubricating film. The substrate surface is a three-dimensional random rough surface, and the lubricating film is attached to the substrate surface. The main steps include: Step 1: Outputting a model file with a three-dimensional random rough surface; Step 2: Establishing a molecular dynamics model containing the random rough surface and the lubricating film; Step 3: Pressing down with an indenter to attach the lubricating film to the substrate surface; Step 4: Outputting the atomic information of the substrate and the lubricating film to establish the target model. Compared with traditional molecular dynamics models, this invention is more realistic, simpler to operate, and lays the foundation for studying the friction and wear mechanisms of rough surfaces at the nanoscale.