15 results about "Particle model" patented technology

This invention provides a method, apparatus, electronic device, and medium for determining contact force in particle motion simulation, belonging to the field of particle simulation. The method includes: acquiring a particle model to be simulated, the particle model including multiple nodes; performing surface reconstruction processing on the surface of the particle model to obtain a reconstructed surface; setting multiple background points on the reconstructed surface; for a target particle model, determining the contact force generated by other particle models on the target particle model based on the background points of the reconstructed surface of the target particle model and the nodes of other particle models; and performing particle motion simulation on the target particle model based on the contact force. This invention improves computational efficiency while ensuring the accuracy of particle simulation by performing surface reconstruction on the mesh surface of the particle model to obtain a smooth reconstructed surface, and then setting multiple background points on the reconstructed surface. The contact force is solved by the relationship between the background points and nodes.

The application provides a numerical method for simulating fiber-containing proppant flowback, and the method comprises the following steps: establishing a simplified fracture network grid model for flowback, setting a fracture fracturing fluid inlet and a fracturing fluid outlet; setting a proppant particle model, using a Bonding V2 model to establish a flexible fiber; according to a set mass ratio, stacking the fiber and the proppant in the fracture; in a finite element software, setting a flow equation, fracturing fluid material properties and fracture inlet and outlet flow rate parameters; reading a coupling file, starting to simulate flowback, and post-processing the calculation results. Through the method, the sand stabilizing and sand fixing capacities of different fiber lengths, different fiber concentrations and different fiber mixing ratios can be studied, and the method has the advantages of simple operation and high calculation efficiency.

This invention relates to the field of combustion dynamics technology, and provides a method for modeling the combustion dynamics of nano-aluminum particles based on molecular reaction dynamics. The method includes: S1 constructing a nano-aluminum particle model; S2 establishing an oxidation combustion reaction system; S3 analyzing molecular trajectories; S4 extracting reaction paths; S5 determining gas-phase reaction kinetic parameters; S6 determining surface reaction kinetic parameters; S7 constructing a heterogeneous combustion kinetic mechanism; and S8 verifying and outputting simulation results. This invention directly extracts reaction paths through molecular dynamic trajectories in the reaction force field, reducing the subjectivity of relying entirely on artificially preset elementary reactions. It supplements key gas-phase and surface reaction parameters through quantum chemical calculations and density functional theory calculations, improving the physicochemical basis of the mechanism parameters. By coupling gas-phase and surface reactions into a heterogeneous combustion kinetic mechanism, it more completely describes the structural evolution process of aluminum nanoparticles from melting, rapid oxidation, partial oxidation to equilibrium.

The application provides a training set construction method for noise robustness enhancement and related devices, the method comprising: obtaining a target multi-view image of a target object and a target object mask image in a robot noise operation scene; determining a reference particle set according to the target multi-view image and the target object mask image; performing parameter configuration and noise injection on the reference particle set to obtain a target particle model a; screening the target particle model a to obtain a target particle model b, and inputting the target particle model b into a differentiable particle engine for noise scene simulation to obtain b groups of target noise data; screening the b groups of target noise data to obtain c groups of target noise data; and determining a target training set according to the c groups of target noise data and original noise-free data. Through controllable noise injection, physical simulation and effectiveness screening, a training set containing high-quality noise samples is constructed, and the noise robustness of the model is improved.

This invention provides a method for evaluating the pressing index of cemented carbide powder based on the discrete element method (DEM), relating to the fields of powder metallurgy forming and numerical simulation technology. The invention constructs a discrete element bonded particle model by obtaining the basic physical property parameters characterizing the powder particles of the cemented carbide powder to be evaluated. Bonding bonds are established between contacting particle pairs in the DEM model, and the contact parameters of these bonds are obtained after calibration and verification. Based on the calibrated and verified bond contact parameters, a discrete element pressing model is constructed on the DEM bonded particle model to simulate the powder filling and pressing process, resulting in a compact model. The tensile strength and impact hardness of the compact model are then subjected to discrete element numerical simulations to calculate the pressing index evaluation index. Based on the pressing index evaluation index, the pressing performance of the cemented carbide powder to be evaluated and the presence of crack risk during the pressing process are assessed.

The present application belongs to the technical field of numerical simulation and geotechnical engineering, and provides a water-soil coupled single-layer two-phase SPH simulation method, device, equipment and medium, wherein the method comprises: discretizing a calculation domain of a single-layer two-phase SPH particle model, giving physical parameters and establishing a neighbor list of particles; adopting Verlet integration to perform twice semi-step updating and once full-step updating; adopting a low-dissipation Riemann solver-based dissipation strategy to process the interaction between particles; according to the updating result, adopting a Drucker-Prager model and a return mapping algorithm to update stress and strain, to obtain an updated stress field; performing diffusion smoothing processing on the updated stress field, to obtain a single-layer two-phase SPH simulation result. The present application has the beneficial effect of realizing efficient, stable and accurate simulation of large deformation processes of geological disasters such as landslides and debris flows under water-soil coupling conditions.

The present application belongs to the technical field of numerical simulation and geotechnical engineering, and provides a large deformation SPH large-scale engineering simulation method, an electronic device and a storage medium, wherein the method comprises: discretizing the calculation domain of the SPH particle model and establishing a neighbor search relationship, and assigning material mechanical parameters by using a random field mapping method; performing half-step and full-step updating of the SPH particle by using a position-based Verlet method; performing correction by using the dissipation strategy of a low-dissipation Riemann solver, and then performing second half-step updating of density and position; calculating the velocity gradient and the strain rate tensor of the SPH particle, and performing stress updating of the SPH particle by using a Drucker-Prager model and a return mapping algorithm; and performing smoothing processing on the stress-updated SPH particle to obtain a simulation result. The present application has the beneficial effect of improving the efficiency and accuracy of the simulation of the large deformation process of granular materials.

This invention discloses a method for constructing a microscopic numerical model of granular flow that considers stress field distribution characteristics. It relates to the field of microscopic numerical simulation in geotechnical engineering. The method uses AutoCAD to construct the boundary and generate a continuous numerical grid. Particles are then deployed one by one using element domain control. The self-weight stress of the particles is considered. By combining the addition of particles and the change of particle radius, the particle system is made to tightly bond together, thereby forming a dense slope microscopic feature with controllable coordination number and mechanical properties that gradually increase from the surface to the interior. This ensures that the microscopic particle model fills the entire modeling range under the stress field distribution conditions, thus ensuring the accuracy of the microscopic geometric dimensions.

The application relates to a high-temperature-resistant composite neutron moderator material and a manufacturing method thereof, and belongs to the nuclear power field. The manufacturing method of the high-temperature-resistant composite neutron moderator material comprises the following steps: determining the hydrogen partial pressure of a metal hydride at a working temperature, establishing a moderator material particle model comprising a metal hydride core, a buffer layer and a SiC sealing layer and calculating the stress borne by the SiC sealing layer at the working temperature; calculating the allowable stress of the SiC sealing layer at the working temperature and adjusting the moderator material particle model according to the allowable stress to obtain a corrected moderator material particle model; and manufacturing a high-temperature-resistant composite neutron moderator material finished product based on the corrected moderator material particle model. The method can be used for manufacturing a neutron moderator material with good stability and reliability at a high temperature, and improves the safety and reliability of a commercial nuclear power plant reactor.

The application discloses a kind of based on correction order parameter's unmanned aerial vehicle cluster motion consistency evaluation method, this method includes: step one: establish unmanned aerial vehicle dynamics model;Step two: unmanned aerial vehicle dynamics model is mapped as particle model, realize the conversion between unmanned aerial vehicle dynamics model and particle model;Step three: unmanned aerial vehicle individual control law based on social force model;Step four: generate cluster steady-state motion and transition state data of transformation;Step five: calculate individual correction order parameter.The application can improve the evaluation mode of unmanned aerial vehicle cluster motion consistency, establish more scientific order parameter evaluation index for the possible surrounding, consistent turning and other motion modes of unmanned aerial vehicle cluster, improve the evaluation performance of unmanned aerial vehicle cluster consistent motion.

The application discloses a different composition rock thermal damage prediction method based on PFC numerical research, relates to the high-temperature well wall stability analysis technical field and comprises the following steps: a particle-based numerical model is established through PFC2D, and a contact model is used in the numerical model; a rock boundary is uniformly heated by applying temperature, and after mechanical experiment simulation of the rock under a high-temperature condition, axial loading is directly carried out to obtain a stress-strain curve and micro-crack propagation; thermal damage is calculated through an elastic modulus damage, the relationship between thermal expansion coefficients of different mineral composition rocks and thermal damage is analyzed, and a thermal damage prediction model of the different mineral composition rocks under a high-temperature condition is proposed. The application establishes a multi-mineral rock particle model based on PFC discrete elements; from the engineering point of view, the empirical formula provides guidance for site selection, design and construction of deep geological energy.

The application discloses a novel bonded particle breakage rapid modeling method based on discrete elements and application thereof, and comprises the following steps: establishing a single particle shape geometric model; generating a bonded particle model; and performing discrete element numerical simulation on particle assembly breakage. The method solves problems of bonded particle breakage modeling, such as complexity, long cycle, and large discreteness. Compared with a traditional bonded particle breakage modeling method, the method can more quickly establish a particle bonded body with different particle shapes and particle diameters, does not need to make a bonded particle template in advance, and can have the same particle diameter range of the sub-particles of the same grade particle diameter, instead of increasing with the increase of the particle diameter, and is easier to calibrate micro-mechanical parameters, thereby providing an effective technical means for further understanding of a micro-mechanical mechanism of particle breakage and macro-mechanical behavior of breakable particle materials.

Methods for specimen preparation and for characterization of internal three-dimensional deformation of specimen are provided. Firstly, a plurality of first digital particle models are generated, and a plurality of first volumetric images are generated based on central point positions of the speckle particles simulated by each first digital particle model of the plurality of first digital particle models. A simulated optimal particle radius value and a simulated optimal volume fraction value corresponding to speckle particles included in a target specimen are determined based on all the first volumetric images. Finally, the target specimen may be prepared based on the simulated optimal particle radius value and the simulated optimal volume fraction value corresponding to the speckle particles included in the target specimen. The plurality of first digital particle models generated through numerical simulation are processed and calculated to obtain distribution parameters of the speckle particles in the target specimen.

The application discloses a kind of PFC-based granular model and granite thermal damage prediction method and system, it is related to high-temperature well wall stability analysis technical field, including generating initial disc model with required mineral composition and particle size distribution, according to brazilian split, uniaxial and triaxial compression test results and simulation results comparison, calibrate granite model mesoscopic parameter;Simulate the mechanical test of rock under high temperature condition, get stress-strain curve and microcrack propagation situation;Thermal damage is calculated by the change of elastic modulus, the main factors of different grain size and inhomogeneous granite thermal damage are analyzed and determined, and the functional relationship model between granite thermal damage and volume thermal strain is established.The application is based on PFC discrete element, establishes the granular model of multi-mineral granite, and the model can well simulate the mechanical behavior and microcrack propagation process of rock under thermal force coupling condition.

The application provides a kind of active swimming particle and droplet coupling dynamics simulation method and device, it is related to the technical field of multiphase flow numerical simulation, including: through the isothermal Newton fluid control equation of Lagrange form, based on fluid particle set, establish particle momentum equation;Through the speed assignment processing of each boundary particle on the surface of active swimming particle model, obtain boundary velocity condition, and according to fluid particle set, particle momentum equation and boundary velocity condition, the conservative force, dissipation force, random force, particle distribution correction force and interface force suffered by each particle are calculated to determine the total fluid force and total torque suffered by active swimming particle;Based on total fluid force and total torque, the state of fluid particle and the state of active swimming particle are updated, and the coupling dynamics simulation result is output after updating is completed.The application can significantly improve the coupling dynamics simulation accuracy of active swimming particle and droplet.