A grid optimization method, grid generator, and storage medium

An optimization method and grid technology, applied in the field of data processing, can solve problems such as relying on engineers, achieve the effects of improving calculation accuracy, improving calculation efficiency, and saving computing resources

Active Publication Date: 2021-11-19
ZWCAD SOFTWARE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But how to reasonably divide the grid, estimate the area that needs and does not need fine calculation is very dependent on the processing experience of the engineer

Method used

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  • A grid optimization method, grid generator, and storage medium
  • A grid optimization method, grid generator, and storage medium
  • A grid optimization method, grid generator, and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] Such as image 3 As shown, this application provides a grid optimization method, which automatically adjusts the grid size, generates a grid that meets the simulation requirements, performs iterative calculation, saves computing resources, improves calculation accuracy and improves calculation efficiency.

[0056] Specifically, this method includes the following steps:

[0057] Step S1, obtaining the initial grid generated by the grid generator, performing static analysis on the initial grid to obtain the stress field of the initial grid; judging whether the stress field of the initial grid meets the preset requirements, If it is not satisfied, then execute step S2; if it is satisfied, then output the initial mesh.

[0058] The grid generator is an existing grid generator, which realizes the triangular, quadrilateral, tetrahedral or hexahedral grid of the geometric model according to the grid division algorithm of Delaunay-AFT (Delaunay-AFT) divided. Such as figure...

Embodiment 2

[0086] The present application also provides a grid generator, which is provided with a plurality of processors, memories, and computer programs stored on the memories and operable on the processors, and is realized when the plurality of processors execute the computer programs. A grid is generated according to the grid optimization method described in Embodiment 1. The grid generator uses a Delaunay-AFT grid division algorithm to generate grid cells of corresponding sizes according to grid constraints set in space.

Embodiment 3

[0088] An embodiment of the present invention further provides a computer-readable storage medium, on which computer-executable instructions are stored, and the computer-executable instructions can execute the grid optimization method described in the first embodiment above. Wherein, the storage medium may be a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a flash memory (Flash Memory), a hard disk (HardDisk Drive) , abbreviation: HDD) or a solid-state hard drive (Solid-State Drive, SSD), etc.; the storage medium may also include a combination of the above-mentioned types of memory.

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PUM

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Abstract

The invention discloses a grid optimization method, a grid generator, and a storage medium, comprising the following steps: step S1, obtaining the initial grid generated by the grid generator, performing static analysis on the initial grid, and obtaining the Describe the stress field of the initial grid, determine whether the stress field meets the calculation requirements, if not, perform step S2; step S2, calculate the estimation error of the initial grid, and obtain the metrics on the grid nodes of the initial grid Tensor field; step S3, calculating the eigenvalue of the metric tensor field of each grid node, obtaining the constraint size of the grid node, and generating an optimized grid according to the constraint size; step S4, making the optimized grid as For the initial grid, re-execute step S1 for the next iteration until the initial grid meets the preset requirements. The invention automatically adjusts the grid size, generates grids meeting preset requirements, performs iterative calculation, saves calculation resources, improves calculation accuracy and improves calculation efficiency.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a grid optimization method, a grid generator, and a computer-readable storage medium. Background technique [0002] With the continuous development of CAE simulation technology, how to improve calculation efficiency and improve calculation accuracy at the same time is an urgent problem to be solved. Currently feasible methods include using parallel computing, high-performance computers, and improving the efficiency of solving algorithms. [0003] Mesh division can also improve calculation efficiency and calculation accuracy at the same time. In areas that require fine calculation, such as stress concentration and large deformation areas, small-scale grid units are used, and in areas that do not require fine calculation, large-scale grid units can be used to save computing resources and improve computing efficiency. However, how to reasonably divide the grid and estimate...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/23G06T17/20G06F111/04G06F111/06G06F119/14
CPCG06T17/20G06F30/23G06F2111/04G06F2111/06G06F2119/14
Inventor 赵佳欣李会江张军飞
Owner ZWCAD SOFTWARE CO LTD
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