107 results about "Dynamical simulation" patented technology

The invention relates to the technical field of sewage treatment, in particular to a dynamic simulation method for a lake and reservoir sewage sludge deposition process. The method comprises the following steps: collecting lake and reservoir hydrological station data, carrying out abnormal value filtering and missing value completion, generating a complete hydrological sequence, carrying out water flow state subdivision to obtain flow state hierarchical data, reconstructing a multi-layer hydrodynamic field, forming a hydrological dynamic field set, carrying out suspended matter analysis, and obtaining a hydrological dynamic field model; the method comprises the following steps of: extracting sewage sludge data, deconstructing transportation characteristics of the sewage sludge data, generating transportation dynamic data, performing water body stress tensor decomposition to obtain stress distribution data, performing substance transportation simulation on a complete hydrological sequence by using the stress distribution data, establishing a multi-scale sedimentation dynamic model, acquiring water body sedimentation change data in real time, comparing the water body sedimentation change data with the model, and if inconsistency exists, judging whether the water body sedimentation change data is consistent or not. If yes, the model is finely adjusted in real time, and an optimized multi-scale deposition dynamic model is generated. The more accurate dynamic simulation method for the lake and reservoir sewage and sludge deposition process is achieved.

The invention discloses an optimized molecular dynamics simulation method for a monocrystalline silicon cutting process. Comprising the following steps: initializing and setting parameters, creating a workpiece area, creating an abrasive particle area, creating an atomic box, setting atomic mass, fixing a boundary layer, selecting a potential function, carrying out energy minimization processing and relaxation processing, setting cutting parameters, and carrying out operation simulation and result visualization processing. According to the method, interaction between silicon atoms and interaction between silicon and carbon can be described more accurately by using Tersoft potential; the simulation stability is improved by setting time step length, temperature control and energy minimization; by defining different temperature control layers such as a constant temperature layer and a Newton layer, complex dynamic behaviors in the material cutting process can be better simulated; by optimizing a calculation model and an algorithm, the speed and the precision of atomic motion trail and stress distribution in the process of simulating the cutting of the monocrystalline silicon are remarkably improved, and the stability of the simulation process is ensured.

The invention discloses an impurity sorting and removing system based on machine vision, and the system comprises a data collection and preprocessing layer which is responsible for obtaining multi-dimensional physical characteristics of tea leaves and impurities, and constructing three-dimensional scene representation; the feature analysis and decision-making layer is used for extracting light field fusion features by utilizing a ResNeSt-50 backbone network, directly outputting a preliminary classification confidence coefficient through a full connection layer, forming a first layer of decision-making candidates, simulating branches by combining rigid body dynamics to predict a blade movement track, performing Bayesian correction on the preliminary classification confidence coefficient after a shielding probability graph is sampled and calculated through Monte Carlo Dropout, and forming a second layer of decision-making candidates; meanwhile, a Cook-Torrent BRDF model is integrated to carry out material reflection correction, a feature map after material correction is output, and a correction value is converted into decision threshold offset; and the knowledge storage and update layer is used for constructing a bimodal memory pool composed of a gradient direction matrix and an LRU elastic cache, and generating a pseudo sample supplement long-tail category in combination with the four-layer full-connection pulse neural network.

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 provides an ultra-deep high-pressure gas well variable-flow-state sand-carrying capacity evaluation method, and relates to the technical field of oil-gas exploration, and the method comprises the steps: collecting well logging data of a target gas well, constructing a gas-liquid two-phase flow parameter expression, and carrying out the quantitative analysis of key flow characteristics such as the gas content and the speed; a mathematical model is established by applying an H-K flow state judgment criterion, and numerical simulation is performed in combination with fluid dynamics simulation software, so that the flow state in the shaft is accurately identified and distinguished; then, according to high-temperature and high-pressure characteristics under actual working conditions and sand shape information monitored in a mine field, carrying out secondary correction on the resistance coefficient CD so as to improve a sand-carrying capacity prediction model; and finally, the critical sand-carrying flow velocity and yield are calculated based on the corrected model, and a scientific basis is provided for setting the sand-carrying capacity and reasonable production parameters of the gas well in different flow states. Safe and efficient development of a gas reservoir is guided, production parameter setting is optimized, and long-term stable and efficient operation of a gas well is ensured.

A spatial bending method for a metal plate (300). The method comprises: acquiring a preset surface group, unfolding the preset surface group into a plane (500), and marking the position of a common boundary of adjacent curved surfaces, an included angle between the adjacent curved surfaces, and an edge contour of the plane; constructing a two-dimensional mesh surface (600); on the basis of the two-dimensional mesh surface, constructing a dynamic simulation, and performing three-dimensional shape prediction, so as to obtain a three-dimensional shape prediction result; on the basis of correspondences between motion paths of a mechanical arm and morphological changes of a metal plate during a bending process, the included angle, and the three-dimensional shape prediction result, obtaining a motion path of the mechanical arm; and on the basis of the motion path, performing spatial bending on the metal plate. A spatial bending apparatus for a metal plate. The apparatus comprises: an acquisition module, which is used for acquiring a preset surface group; a dynamic simulation module, which is used for constructing a dynamic simulation on the basis of a two-dimensional mesh surface; a calculation module, which is used for acquiring correspondences between motion paths of a mechanical arm and morphological changes of a metal plate during a bending process; and a control module, which is used for performing, on the basis of the motion path, spatial bending on the metal plate. An electronic device, comprising one or more processors, wherein the one or more processors implement a spatial bending method for a metal plate. A readable storage medium, wherein a spatial bending program for a metal plate is stored in the readable storage medium. By using the spatial bending method for a metal plate, the current technical routes where the bending of a metal plate must depend on a mold is abandoned, and whether the bending form of a metal plate meets requirements can be quickly inspected at the design stage.

The invention relates to the technical field of storage chip packaging, and discloses a high-density assembly method for a storage chip by using a modular integrated packaging technology, which comprises the following steps of: obtaining a storage chip to be assembled and a packaging element, performing high-precision scanning to obtain geometrical shape data, and constructing an assembly model; the method comprises the following steps: defining an assembly constraint for a chip to obtain an assembly relationship, searching a preferred path, constructing and segmenting an assembly space, and adjusting the path through a collision test to obtain a target assembly path. And querying path parameters to construct assembly equipment parameters, and completing parameter configuration through dynamic simulation to obtain target assembly equipment. A chip and an element are sent to a station to obtain a pre-assembled part, pose deviation is adjusted to obtain a target assembled part, and a target device and a path are used for packaging to obtain a preliminarily packaged chip. And through an electrical performance test, if the chip is normal, packaging enhancement processing is carried out, quality classification is carried out after nondestructive testing, then integrated packaging is carried out, and finally a target packaging chip is obtained. According to the invention, the high-density assembly quality of the storage chip can be improved.

The invention discloses a rolling bearing life prediction method based on a dynamical model and a cross-domain graph network, and the method comprises the steps: building a simulation model based on a five-degree-of-freedom dynamical model of a rolling bearing, and combining a multi-target particle swarm optimization algorithm with a bearing actual measurement signal to dynamically update the parameters of the dynamical simulation model. And the defect evolution process of the simulation model in different degradation stages is explored, and the full-life-cycle simulation data of the rolling bearing are generated, so that the defect that the full-life-cycle data of the bearing are difficult to collect in actual engineering is overcome. Designing a multi-layer cross-domain graph neural network model, performing nonlinear transformation on graph node features to extract space information of neighbor nodes, and extracting time dependence of the neighbor nodes by combining a hidden layer state at a previous moment; and taking the complete labeled simulation data as source domain data, taking the incomplete label-free actual measurement data as target domain data, reducing the distribution difference between the source domain data and the target domain data through a multi-layer domain adaptation mechanism, and finally realizing cross-domain prediction of the service life of the bearing.

The invention provides an adaptive weight multi-particle beam flow transmission simulation method and device, and the method belongs to the technical field of particle accelerators, and specifically comprises the steps: dividing a to-be-processed macro particle beam to form a plurality of groups of macro particles; configuring a relative weight for each group of macro particles according to the density distribution characteristics of the macro particle beams; sampling each group of macro particles in combination with the relative weight of each group of macro particles to obtain a corresponding sampling result; determining the weight of each macro particle in each sampling result in combination with the relative weight of each macro particle in each sampling result; determining similarities of a candidate beam bunch and a macro particle beam bunch in different dimensions, wherein the candidate beam bunch is formed by collecting sampling results configured with weights of macro particles; under the condition that the similarity meets a beam dynamics simulation condition, determining the candidate beam bunch as a new macro particle beam bunch; the new macro particle beam is used for replacing the macro particle beam to carry out multi-particle beam flow dynamic simulation, and the evolution process of beam transmission in the accelerator is described.

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 thermal-mechanical coupling near-field dynamics simulation method and system for thermal cracking of a brittle material, a medium and equipment, and belongs to the technical field of material and structure damage simulation, and the method comprises the following steps: S1, building a solid model, inputting basic information, discretizing the model, building a near-field dynamics material point position matrix and key connection information, and establishing a near-field dynamics model; assembling a near-field dynamic matrix; s2, initial conditions and boundary conditions are set, and an explicit staggered solution method is adopted to iteratively solve the temperature field and the displacement field of the near-field dynamic matrix step by step in sequence; and S3, drawing a temperature field, a displacement field and a result cloud chart of damage according to the solved data. According to the method, the heterogeneous characteristics of the brittle materials are considered, the thermal-mechanical coupling model is established based on the near-field dynamics theory, the adopted coupling model conforms to engineering practice, and simulation and prediction of the cracking problem of the multiple brittle materials under the temperature load effect can be stably and accurately achieved.

A method of performing computation using a hybrid quantum-classical computing system comprising a classical computer and a quantum processor includes computing, by use of a classical computer, short-range inter-particle interaction energies and self-energies of a group of interacting particles, transforming the quantum processor from an initial state to a charge-position encoded state, applying Quantum Fourier transformation to the quantum processor, measuring an estimated amplitude of the Fourier transformed superposition state on the quantum processor, computing long-range inter-particle interaction energies based on the measured estimated amplitude of the Fourier transformed superposition state, and computing and outputting a sum of the short-range inter-particle interaction energies, the self-energies of the system, and the long-range inter-particle interaction energies as a total inter-particle interaction energies of the system.

The present application belongs to the technical field of 3D printing. Disclosed are a method and apparatus for planning a non-planar printing path, and a storage medium and a device. The method comprises: acquiring a single-layer object model to be printed; generating a first printing path for the single-layer object model; generating a compensation path on the basis of a sparse part in the first printing path; using a dynamic model to perform uniformization processing on the compensation path, so as to obtain a second printing path, wherein the second printing path tends to have a uniform distribution of distances during a simulated extrusion process; and determining a printing direction of each node on the second printing path, so as to obtain a final non-planar printing path. In the present application, a non-planar first printing path is formed on the surface of a single-layer object model, a compensation path is formed at a sparse part in the first printing path, and uniformization processing is performed on the compensation path on the basis of dynamic simulation, such that uniform printing during a non-planar printing process when the direction of a path and the direction of a curved surface are consistent is ensured, thereby optimizing the printing effect.

The invention discloses a method and system for obtaining a diffusion coefficient of thermal cracking dissolved gas of insulating oil of a current transformer, and the method comprises the steps: constructing a molecular structure representing typical components of the insulating oil of an inverted oil-immersed current transformer, and carrying out the geometric optimization; constructing a first insulating oil model of the inverted current transformer; performing dynamic relaxation on the first insulating oil model to enable the first insulating oil model to reach a stable state; under different high-temperature conditions, reaction molecular dynamics simulation of insulating oil cracking is carried out, and a gas product of insulating oil thermal cracking is determined; constructing a second insulating oil model containing dissolved gas based on the gas product; performing dynamic relaxation on the second insulating oil model; performing dynamic simulation on the second insulating oil model, respectively applying different temperatures, and obtaining mean square displacement of any dissolved gas at different temperatures; and determining a diffusion coefficient curve of any dissolved gas in the insulating oil based on the mean square displacement of any dissolved gas at different temperatures.

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 provides a mixing control method, device and equipment for oil field dry powder fracturing fluid and a medium. The method comprises the steps that mixing process data are collected in real time; establishing a virtual model based on the internal structure of the target equipment; performing dynamic simulation on fluid flow in the liquid preparation tank by using fluid dynamics, and constructing a real-time fluid motion model; based on a chemical kinetics principle, establishing a chemical kinetics model of dry powder dissolution, cross-linking reaction and gel breaking reaction, and fusing material characteristic parameters into the chemical kinetics model; inputting data of the mixing process into the virtual model, performing dynamic calibration on the virtual model through a real-time fluid motion model and a chemical kinetic model, dynamically adjusting water quality data, a material ratio and stirring conditions, and performing multi-scene real-time simulation analysis on the mixing process; and executing corresponding dry powder fracturing fluid blending control on the target equipment according to the blending simulation data. The fracturing fluid mixing quality and efficiency can be improved, and the development efficiency of unconventional oil and gas reservoirs can be improved in an auxiliary mode.

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 discloses a near-field dynamics simulation method for low-speed impact fracture of ultra-high performance concrete, which comprises the following steps: establishing a completely discrete model of a UHPC component, and realizing coupling of a concrete gel matrix and steel fibers through an Embedded method; a transition unit is introduced, a classic finite element unit and a PeriFEM local unit are connected through keys, force on the keys is modified, and coupling of the two methods is achieved; a continuous local unit is introduced, a motion equation of the local unit is deduced by adopting an explicit central difference algorithm, and an explicit algorithm based on the continuous local unit is constructed and used for solving the motion equation and calculating the damage condition of the UHPC matrix. According to the simulation method provided by the invention, the fracture process of the UHPC under low-speed impact can be effectively simulated, and a new solution of near-field dynamics and finite element coupling is provided.

The invention discloses a molecular dynamics simulation method for CO2-ion oil displacement, and belongs to the technical field of CO2 oil displacement. The method comprises the steps that an oil molecule model, a water molecule model, a CO2 molecule model, a CaCl2 molecule model and a graphene plate model corresponding to target oil reservoir characteristics are established; carrying out geometric structure optimization on each model; the optimized molecular model is assembled into a 'CO2-CaCl2-H2O' ternary displacement system, and molecular dynamics simulation is executed; during simulation, an NVT ensemble is selected, periodic boundary conditions are applied, a COMPASS II force field is adopted, atomic potential parameters are configured, and after operation energy is minimized and temperature is initialized, displacement process simulation is executed; and quantitatively evaluating the oil displacement effect of the displacement medium of the 'CO2-CaCl2-H2O' ternary system on the basis of the trajectory file output by simulation. According to the method, the behavior of molecules under the synergistic effect of multiple displacement media can be better explained, the oil displacement micromechanism under the synergistic effect of the multiple displacement media is embodied, and the method has important significance for optimizing the compact oil reservoir development effect and improving the recovery efficiency.

The invention relates to a molecular dynamics simulation method for constructing an amorphous model by precursor hydrolysis-pyrolysis, which utilizes the characteristic that main products in the precursor hydrolysis and pyrolysis process are respectively water, hydrogen and methane, selects reasonable criteria through a written Python script program, judges the bonding distance between atoms and identifies the generated products, and finally establishes a molecular dynamics model. And batch and circulating molecular dynamics simulation is realized, and the amorphous SiOC atomic model is obtained. According to the method, the combination of automation, batch and open source molecular dynamics calculation software LAMMPS is finally realized, the influence of human subjective factors is eliminated, the calculation efficiency is improved, the time cost of scientific researchers is saved, and careless mistakes caused by a large amount of operations are avoided. Besides, sol micromolecules can form a good network skeleton structure after being hydrolyzed and cured, the escape speed of gas products is slowed down, an amorphous SiOC model with higher free carbon content can be constructed, and the amorphous-nanocrystalline interface density of the material is improved.

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 relates to an electrically-driven high-voltage circuit breaker operating mechanism hinge wear fault dynamics simulation method, and belongs to the technical field of high-voltage circuit breaker fault diagnosis, and the method comprises the following steps: S1, building a high-voltage circuit breaker kinematics model based on servo motor driving; s2, an initial state is determined, and hinge gap stress is calculated; s3, a servo motor is started, and coordinates of all points at the current moment are calculated according to the stress conditions of the crank arm, the transmission connecting rod and the open range stage / overtravel stage and a kinematical equation of a servo motor operating mechanism; s4, updating r1 and r2 according to the coordinates of each point at the current moment, calculating delta 1 and delta 2, and calculating the contact force and friction force of the hinge gap to obtain the stress condition at the next moment; s5, repeating the steps S3-S4, and carrying out iteration to obtain the stress and movement conditions of the circuit breaker which is directly driven and operated by the motor at each moment; and S6, the change condition of the collision angle of the hinged shaft and the reaming hole in one movement period is analyzed, and a gap value after the abrasion fault is established.

The invention discloses a radial basis function boundary optimization and multivariate quadratic quasi-interpolation combined data fitting method, which comprises the following steps of: firstly, selecting m data points at two ends from a given data set, fitting boundary data by using Gaussian radial basis function interpolation, and adjusting function characteristics through shape parameters; and fitting all data including the boundary data by using a multivariate quadratic quasi-interpolation method, calculating a weight function of the data and the corrected data, and combining a boundary fitting function to obtain a final result. The method provided by the invention solves the problems that the traditional interpolation calculation is complex, the numerical value is unstable and the boundary processing precision is low, the calculation complexity is low, and the numerical value is stable and reliable; the application effect in the fields of mechanical design, fluid dynamics simulation and the like is remarkable, compared with traditional polynomial fitting, the boundary fitting error is reduced by at least two orders of magnitude, and the calculation efficiency is greatly improved.

The present invention discloses a near-field acceleration method of a random batch Ewald algorithm, and relates to the technical field of molecular dynamics simulation. In the molecular dynamics simulation Ewald algorithm, for the long-range part, the frequency is randomly sampled in the Fourier space to calculate the corresponding force; for the short-range part, a double-layer neighbor list method is used. The present invention uses a random method to approximate the force. In the numerical integration process of the system simulation, the expectation of the random force fluctuation is zero and the variance is controllable, so that the final distribution is close to the actual distribution, so it has good convergence, and the calculation complexity is linear, which is faster than the existing method; only a limited number of frequency samples need to be communicated between CPU cores, no intensive communication is required, and the parallel efficiency is high; the effect of the force within a small cutoff radius is accurately calculated, and the particles in the spherical shell are randomly selected and the force is calculated, which reduces the CPU memory usage and the amount of calculation.

The present application relates to a kind of metal sheet space bending method, device, electronic equipment and readable medium, wherein the above-mentioned method includes: obtaining preset face group, spreading preset face group to plane, marking the position of common boundary of adjacent curved surface, the included angle of adjacent curved surface and the edge profile of plane;Construct two-dimensional grid surface;Based on two-dimensional grid surface, construct dynamics simulation, carry out three-dimensional shape prediction, obtain three-dimensional shape prediction result, wherein three-dimensional shape prediction result includes multiple intermediate three-dimensional prediction shape;According to the corresponding relationship of the morphological change of mechanical arm movement path and metal sheet bending process, included angle and three-dimensional shape prediction result, obtain the movement path of mechanical arm;Based on movement path, metal sheet is bent in space.This method completely abandons the technical route that metal sheet must rely on die to be bent at present, can quickly test whether its bending form meets the requirements in design stage.

The invention provides a multi-stage flexible net structure for large-scale debris flow prevention and control, which is applied to a large-scale dynamic simulation experiment platform for mountain disasters, and the experiment platform comprises an experiment water tank main body and an apron located at the bottom of the experiment water tank main body; comprising a plurality of flexible nets located in an experimental water tank body and at least two flexible nets located on an apron, and each flexible net on the apron is arranged in the direction perpendicular to an outlet of the experimental water tank body. Through the arrangement of the multiple flexible nets in the experimental water tank main body, when debris flow is filled with silt in the front flexible net and overflows to cause structural failure, the multiple flexible nets behind can play a prevention and treatment role, and the arrangement of the at least two flexible nets on the apron can research that the debris flow rushes out of the opening of the natural channel and diffuses. And the flexible net has a prevention and treatment effect on debris flow. The whole multi-stage flexible net works cooperatively, and multiple prevention and control of the flexible net on the debris flow starting process, the acceleration process, the deceleration process and the diffusion process can be researched.

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.