A method, system, client and server for generating an unstructured grid

Abstract

Embodiments of the present invention provide a method, system, client, and server for generating an unstructured grid. In this solution, in the first aspect, the client generates an initial spatial grid, and combines the surface grid in the initial spatial grid with the The outer surface mesh of the space is replaced. The data processing volume of these processes is small, and the client can meet this data processing requirement. In the second aspect, the client transmits the initial space mesh to the server, and the server transmits the merged surface mesh and the outer surface mesh of the merged space to the client, instead of transmitting all the subdivided space meshes, the initial space mesh, the merged surface mesh Both the grid and merged space outer surface meshes have smaller amounts of data, so the amount of data transferred between client and server is smaller.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of computational fluid dynamics, and in particular, to a method, system, client and server for generating an unstructured grid. Background technique [0002] Mesh generation is the preprocessing step of CFD (Computational Fluid Dynamics, Computational Fluid Dynamics) analysis, and the size and quality of the generated mesh will affect the CFD analysis results. [0003] Grids are generally divided into structured grids and unstructured grids. Structural grids usually have a uniform topology, and the grid area can be divided into regular elements. Structural grids are usually suitable for solving simple and geometrically regular models. The grid area of ​​unstructured grids generally cannot be divided into regular elements, and the geometric regularity of practical engineering cases is usually poor, so unstructured grids are generally required. [0004] At present, the requirements for ...

AI Technical Summary

Problems solved by technology

[0004] At present, the requirements for numerical analysis accuracy are getting higher and higher, resulting in larger and larger scales of unstructured grids and larger and larger data processing volumes of equipment. The stand-alone equipment used by users generally cannot meet this data processing demand.

However, if the user uses the client to call the server to generate a grid of this scale, there is still the problem of a large amount of data transmitted between the client and the server.

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