20results about How to "Guaranteed Simulation Accuracy" patented technology

This invention discloses a method, apparatus, medium, and product for calculating bonding interactions in molecules. The method includes: allocating bonding tasks using a three-dimensional interconnected computing architecture, and constructing a bonding atom set and a bonding task index table matching the allocated bonding tasks within each computing module. This ensures that identical atoms do not need to be repeatedly stored when the computing module executes all bonding tasks, reducing the storage overhead of atomic information; dynamically acquiring and filling atomic information from the local machine or other computing modules into the corresponding storage locations of the bonding atom set, extracting atomic information according to the index table, calculating bonding components in parallel, and accumulating the bonding components of identical atoms to obtain the resultant bonding force; and updating the resultant bonding force and atomic information through inter-module interaction, and re-storing the atomic information according to the updated spatial arrangement. This reduces the amount of data transmission between modules while ensuring the accuracy of molecular bonding interaction simulation, thereby improving the stability and efficiency of the overall molecular dynamics simulation.

The application discloses a lithium ion battery internal short circuit fault simulation method, comprising the following steps: S1, establishing a lithium ion battery single particle lumped parameter estimation model, and estimating the dynamics and transfer attribute parameters of a lithium ion battery to be simulated by using a control equation; S2, constructing an electrochemical-thermal coupling 3D model and setting a control equation thereof; S3, substituting the dynamics and transfer attribute parameters of the simulated lithium ion battery into the constructed electrochemical-thermal coupling 3D model, simulating the electrothermal behavior of the lithium ion battery under different fault types based on the control equation, and realizing internal short circuit fault simulation. The application solves the defects of the existing fault simulation scheme in simulation accuracy, calculation rapidity and application universality, establishes an internal short circuit fault electrochemical-thermal coupling 3D model, and provides simulation data basis for an internal short circuit fault detection method.

This application relates to the field of automotive technology, and more particularly to a method, apparatus, device, and storage medium for adjusting a model. The method includes: obtaining a first collision simulation result based on a whole-vehicle collision model of a vehicle; the first collision simulation result includes at least the impact force of a first barrier and a protective beam in the vertical direction and a first acceleration of the non-deformed position of the protective beam in the vertical direction; determining the equivalent mass that generates the impact force based on the impact force and the first acceleration; controlling a second barrier included in the simplified collision model to impact the protective beam included in the simplified collision model with the impact force based on a simplified collision model of the vehicle and the equivalent mass, thereby obtaining a second collision simulation result; determining a first distance based on the first collision simulation result; determining a second distance based on the second collision simulation result; and adjusting the simplified collision model based on the difference between the first distance and the second distance.

This invention relates to the field of thread turning technology, and discloses a thread turning cutting simulation method and system based on the analytical formula of a helical surface. The method includes: acquiring helical surface data during thread turning and constructing a geometric space model of the helical surface that can represent the tool sweep body; acquiring blank data and constructing a blank model using a tri-dexel model; for dexel segments parallel to the rotation axis, calculating the corresponding rotation angle and axial intersection point using the helical surface geometric space model, and calculating the axial cutting result of the tool based on the axial intersection point; for dexel segments perpendicular to the rotation axis, solving multiple solutions for the rotation angle and multiple intersection points using the helical surface geometric space model, selecting the effective intersection points as non-axial intersection points, and calculating the non-axial cutting result of the tool based on the non-axial intersection points. This invention can improve the efficiency and accuracy of thread turning cutting simulation.

The present invention discloses a method and system for simulating and analyzing the impact on the marine resource environment. The method of the present invention includes constructing a two-dimensional plane numerical model for simulating the marine hydrodynamical environment; processing the grid of the two-dimensional plane numerical model to obtain a grid processing result; constructing a large sea area model based on the grid processing result; determining the water boundary input, time step, bed roughness rate and horizontal eddy viscosity coefficient of the large sea area model to obtain a simulation and analysis result. Through fine grid processing, the details of the marine hydrodynamical environment can be better captured, thereby improving the prediction accuracy of the model.

This invention provides an efficient simulation method for multi-axis laser processing of complex surfaces based on keypoint interpolation. It addresses the technical problem that existing pulse-by-pulse laser processing simulation methods for complex surfaces, while improving simulation efficiency through parallel computing, suffer from limited efficiency gains due to the dependence of the number of parallel operations on the efficiency gain. The proposed method decomposes the processing trajectory of the complex surface into stable and unstable segments. Discretely sampled keypoint pulses are selected for iterative calculation within the stable segment, and interpolation is performed on non-keypoint pulses between two adjacent keypoint pulses. The interpolated morphology is almost identical to that calculated using the iterative method. By replacing iterative calculations with interpolation while maintaining simulation accuracy, the computational load is effectively reduced, significantly improving computational efficiency.

A kind of urban rainwater pipe network and river network hydrodynamic accelerated calculation method based on data-driven surrogate model, comprising: based on bidirectional long short-term memory (BiLSTM), graph attention network (GAT) and residual connection, data-driven surrogate model Deep-Drain is constructed, for simulating the simplified process of urban rainwater pipe network and river network water flow;Mechanism model is constructed to simulate one-dimensional hydrodynamic process under measured rainfall and different return period design rainfall, and process data set of rainwater pipe network and river network flow process is constructed, while training set, validation set and test set are divided;Optimal hyperparameter combination of Deep-Drain is found by using Bayesian optimization;The efficiency improvement effect of Deep-Drain is quantitatively analyzed by typhoon storm event;The present application realizes the effective improvement of the calculation efficiency of urban rainwater pipe network and river network flow simulation process.

The invention discloses a multi-cabin system transformer substation thermal environment simulation and phase change material configuration optimization method, and relates to the technical field of transformer substation energy saving and thermal management, and the method comprises the following steps: constructing a multi-physical field reference model, and training to obtain a thermal environment reduced-order proxy model; double-layer collaborative optimization is executed based on the agent model, phase change material physical configuration parameters are searched for on the outer layer, and a matched air conditioner active control strategy is searched for on the inner layer; and according to an optimization result, determining a differentiated material configuration scheme and an operation strategy for each functional cabin. The method is used for solving the problems that existing full-time-domain physical simulation calculation consumes too long time and cannot support large-scale optimization, and the comprehensive energy efficiency of a system is low due to separation of passive design and active control.

The application discloses a gas turbine air system analysis method and system, and relates to the technical field of gas turbine air system simulation. The method comprises the following steps: constructing a three-dimensional CFD benchmark model of a non-standard element of an air system; establishing a parameterized CFD analysis process, generating a parameter combination matrix covering the working range of the non-standard element; performing a multi-working condition three-dimensional CFD steady-state calculation to generate a data set; constructing and verifying a reduced-order model of the non-standard element based on the data set until the prediction accuracy of the reduced-order model meets preset engineering requirements; encapsulating the verified reduced-order model as a functional model unit; and replacing the original element with the functional model unit in a one-dimensional fluid network modeling environment, and calling the functional model unit to perform system-level simulation iteration. The application realizes seamless integration with the one-dimensional fluid network environment, decouples high-precision three-dimensional modeling from system-level iteration solving, significantly reduces the calculation cost, avoids the convergence risk caused by the three-dimensional CFD embedded iteration cycle, and realizes efficient and stable analysis of the overall performance of the air system.

The invention discloses a method for predicting reservoir crustal stress after hydraulic fracturing based on phase field damage, and relates to the technical field of petroleum geophysical exploration, and the method comprises the steps: obtaining logging data, seismic inversion data, core experiment data, fracturing construction parameters and crustal stress test results of a target reservoir; determining a space geometric boundary, natural fracture distribution, rock mechanical parameters, an injected fluid pressure time history and an in-situ ground stress tensor of the reservoir; constructing a three-dimensional geomechanical model comprising a material attribute field, an initial defect, a fluid pressure internal load and a crustal stress external boundary condition according to a space geometric boundary, rock mechanical parameters, natural fracture distribution, an injected fluid pressure time history and an in-situ crustal stress tensor; constructing a system total energy functional based on material attribute space distribution, fluid pressure internal load distribution and crustal stress external boundary conditions in the three-dimensional geomechanical model; variational processing is carried out on the total energy functional, and a continuous damage field is introduced as a phase field variable;

The invention discloses a pipeline vibration suppression scheme self-adaptive selection method and system based on digital twinning, and relates to the technical field of digital twinning. The method comprises the steps that in response to real-time working condition changes of a pipeline system, influence propagation analysis is carried out based on an influence relation discrimination tree; dividing an active influence area and a passive influence area in combination with an analysis result and pipeline intrinsic characteristics, carrying out differential digital modeling, and respectively establishing a high-fidelity digital twin model and an efficient simplified model; hierarchical heterogeneous simulation is executed, flow field data of an active area are obtained through equivalent jump point driving adaptive grid refinement, meanwhile, simplified simulation is executed on a passive area, and full-field flow field data are obtained through fusion; and finally, predicting vibration characteristics through a flow field-vibration coupling mapping model, and matching and outputting an optimal vibration suppression scheme from a vibration suppression scheme library. According to the method, accurate release of the computing resources and intelligent generation of the vibration suppression strategy are realized, and the efficiency, precision and self-adaptability of pipeline vibration control are improved.

The application discloses a kind of based on multi-time scale's wheel hub motor electric automobile electric drive assembly simulation method, mainly is: first, by establishing wheel hub motor electric automobile electric drive assembly model in Simulink (a kind of visual simulation tool), form the high-precision simulation method capable of transient characteristic description to the driving module of electric automobile in driving process, it mainly includes permanent magnet synchronous wheel hub motor empirical formula model and equivalent circuit battery model, simulation step in this module needs to select smaller value, to ensure simulation accuracy;Then, the output parameter of external vehicle dynamics model is processed by interpolation by time scale transformation method, and the output parameter of wheel hub motor electric automobile electric drive assembly model is integrated;Finally, form a multi-time scale wheel hub motor electric automobile electric drive assembly simulation method with smaller internal step and larger external step, the simulation efficiency in the scene with higher precision simulation requirement can be greatly improved by the method, with great application value.

The application discloses a power module temperature hybrid model prediction method, and relates to the technical field of power electronic device reliability, and comprises the following steps: a power module finite element thermal model is established based on the geometric size and internal characteristics of the power module; a temperature field sampling snapshot is obtained based on the power module finite element thermal model; a stable evolution trend and an unstable evolution trend of the power module temperature field in the sampling snapshot are extracted based on a dynamic modal decomposition method; an iteration method is used to predict the stable trend, and a deep learning model is used to predict the unstable trend. The predicted stable trend and unstable trend are superimposed to obtain a predicted snapshot of the temperature field. The method can improve the calculation efficiency as much as possible while ensuring the simulation accuracy, and can obtain the chip temperature and internal temperature data of the power module, reduce the number of required sampling snapshots and reduce the modeling period.

The invention provides a GPU architecture simulation method and device, computer equipment and a medium, and relates to the technical field of hardware simulation, the simulation method comprises the following steps: monitoring operation indexes of a plurality of function modules in a preset time window; calculating a hotspot score of the function module according to the operation index; for each functional module, comparing the hotspot score of the functional module with a preset threshold value, and determining a simulation mode adopted for the functional module based on a comparison result; in response to determining that the fine simulation mode is adopted to simulate the functional module, updating an internal state machine of the functional module cycle by cycle; and in response to determining that the fast forward simulation mode is adopted to simulate the functional module, deriving an equivalent delay of the functional module, and crossing the corresponding simulation time step length based on the equivalent delay to skip updating of the internal state machine of the functional module period by period within the simulation time step length. The simulation overhead is reduced, and the overall simulation speed is increased.

The invention relates to the technical field of rock damage simulation, in particular to a rock crack propagation simulation method under the action of pulse fracturing, which comprises the following steps: introducing a phase field variable, and constructing a phase field method model; establishing a friction damage physical mechanism based on a rate state dependent friction law and a sliding law; introducing a friction damage physical mechanism into the phase field method model, establishing a coupling relationship between a friction state variable and the phase field method model, and constructing a phase field-friction damage coupling control equation set; constructing a rock loading model under the action of pulse fracturing; solving a phase field-friction damage coupling control equation set by adopting an adaptive alternating iteration algorithm introducing a dynamic local grid; a friction damage physical mechanism is introduced into a phase field method model, a rock crack network under the action of pulse fracturing can be simulated more truly and accurately, a dynamic local grid adaptive method is adopted, and waste of computing resources is reduced while rock crack propagation simulation precision is guaranteed.

This invention discloses a method, apparatus, and storage medium for simulating liver tissue deformation, belonging to the field of soft resistance tissue deformation simulation technology. The method includes: responding to a non-zero force detected on the target liver tissue, discretizing the liver tissue into material points using the material point method, calculating intermediate variables through a background mesh, avoiding mesh distortion in the finite element method during large deformations of liver tissue, ensuring simulation accuracy and computational stability under large deformation scenarios, and thus solving the mesh distortion problem; determining the boundary constraints of the background mesh based on a three-dimensional model, avoiding the tediousness and errors of manual marking, and enabling boundary constraints on the liver tissue based on the anatomical characteristics in the three-dimensional model, significantly improving the anatomical realism of the simulation. This invention avoids mesh distortion problems during large deformations through the material point method, improving simulation accuracy and computational stability.

The invention discloses a simulation method and system for cross-regional diffusion of particulate matters under a dynamic boundary and a storage device, and relates to the field of environmental monitoring. Comprising the following steps: establishing a multi-region full-size three-dimensional geometric model containing a tunnel and a station; grid division is carried out on the model, and boundary changes caused by train movement are processed; the flow field is solved, and a dynamic velocity field under train movement is obtained; establishing an improved slip flux model to solve a particulate matter transport equation; setting boundary conditions of transient simulation; and according to the dynamic velocity field, solving concentration distribution and cross-regional diffusion conditions of particles with different particle sizes through a particle transport equation. According to the method, the simulation time is greatly shortened, the calculation memory is saved, the simulation accuracy of the particulate matters with different physical property characteristics is improved, and the migration behaviors of the particulate matters among different areas are accurately represented through dynamic boundary conditions.

The application discloses a sunlight flicker simulation device and a control method. The simulation device comprises a light source assembly, a modulation assembly and a control assembly. The light source assembly is used for emitting basic light simulating sunlight. The modulation assembly comprises a rack, a driving member and a rotating member. The driving member is fixed on the rack, and the rotating member is in transmission connection with the driving member. A through hole is formed in the radial surface of the rotating member. The rotating member rotates under the action of the driving member to adjust how much of the basic light passes through the through hole. The control assembly is electrically connected with the light source assembly and the driving member respectively. The application adopts a composite control mode of "mechanical modulation as the main part and light electronic modulation as the auxiliary part", realizes high-precision and high-realistic simulation of slow change and irregular flicker of sunlight, reduces the influence of electromagnetic interference, expands the frequency control range, simplifies the equipment modification process and improves the engineering practicability.

The application belongs to the technical field of simulation and analog, and provides a numerical simulation method for simulating fretting wear involving unit damage. The application is based on an explicit dynamic finite element analysis framework, realizes dynamic simulation of the whole process from foreign object contact, wear mark expansion to cladding perforation by constructing a parameterized fine simulation model, introducing a damage failure criterion matched with a physical mechanism, and supplementing a systematic calculation control strategy.

This invention discloses a method for predicting the melting settlement of ice-rich permafrost, relating to the fields of geotechnical engineering and disaster prevention and mitigation in cold regions. The method includes: constructing a layered parameter model of the permafrost; vectorizing the temperature field based on Fourier's law and the sensible heat capacity method; and automatically identifying the soil type based on an initial void ratio threshold. For ordinary permafrost, a large-strain consolidation model is used to calculate settlement; for ice-rich layers, a volumetric collapse model is used to directly convert the melted ice volume into settlement. The method combines Lagrange dynamic mesh technology to update node coordinates and physical parameters in real time, achieving bidirectional coupling of thermodynamic parameters, and introduces adaptive time step control to improve computational efficiency. This invention, through the coupling of consolidation and collapse mechanisms, solves the problems of inaccurate settlement prediction and low computational efficiency in traditional methods for high-ice-content permafrost. It can accurately simulate the settlement deformation of complex strata such as ice wedges and ice lenses under long-term thermal action, and is suitable for stability assessment and disaster prevention in cold region engineering.