Fluid mechanics simulation method and device and storage medium

Abstract

The invention discloses a fluid mechanics simulation method and device and a storage medium, and the method comprises the steps: obtaining a flow field model, and generating a flow field grid; obtaining initial macroscopic information, boundary condition information and the number of execution processes which are set based on the flow field model; dividing the flow field grid to obtain a pluralityof subareas corresponding to the number of executed processes, and allocating a corresponding subarea to each process; calculating a particle distribution function corresponding to each grid unit ineach subarea by utilizing each process, and determining macroscopic information corresponding to the grid unit in each subarea according to the particle distribution function of the grid unit in eachsubarea; calculating a convergence value of the flow field according to the macroscopic information of the grid units in the subareas, and judging whether the flow field model meets a convergence condition or not according to the convergence value of the flow field; and aggregating the macroscopic information of the grid units in each sub-region and outputting the aggregated macroscopic information as a simulation result of the flow field model, thereby realizing simulation calculation of a large-scale complex flow field.

Description

technical field [0001] The present application relates to the technical field of fluid mechanics, in particular to a method, device and storage medium for fluid mechanics simulation. Background technique [0002] Fluid mechanics is one of the scientific disciplines gradually formed in human society from practical activities. With the emergence and development of computer technology, numerical calculation methods have become one of the three important scientific research methods alongside theoretical analysis and experimental research. Numerical simulation of complex flow fields in computational fluid dynamics is closely related to national development, social progress and human life. Through numerical calculation methods combined with high-performance computing technology, many complex flow field problems can be numerically simulated and solved, which can save the cost of physical experiments to a certain extent and speed up the research progress. [0003] In the prior art...

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Problems solved by technology

[0003] In the prior art, in order to solve the problems of stability, convergence speed, and parallel efficiency in the macroscopic continuous model in the prior art, and the simulation program in the microscopic molecular model is more complex, the amount of calculation is large, and the requirements for memory For advanced problems, the lattice Boltzmann method can be used to numerically simulate and solve more complex flow field problems

Specifically, the lattice Boltzmann method mostly uses uniform Cartesian grids, but for geometric models with complex boundaries, the number of grids required is often huge

Due to the defects of the uniform Cartesian grid, the lattice Boltzmann method is difficult to deal with fluid calculations with complex geometric boundaries, so a technical solution that can solve the above technical problems is needed

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