Evaluation method and device for gradient-optimized fluid engineering model and computer program product

By adopting the least squares gradient format and variable weight function of the extended template format in the fluid engineering model, the checkerboard phenomenon of the large aspect ratio grid model is solved, the calculation accuracy and stability are improved, the development cycle is shortened and the cost is reduced.

CN120409361BActive Publication Date: 2025-09-30SICHUAN ZHONGJIU SHUCHUANG TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510920734.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-07-04
Publication Date
2025-09-30
Estimated Expiration
2045-07-04

AI Technical Summary

Technical Problem

In fluid engineering design, when using structured grid division, the grid model with large aspect ratio characteristics leads to accuracy problems in the gradient reconstruction process, resulting in checkerboard phenomenon and non-convergence of calculations, affecting the accuracy of performance evaluation of fluid engineering models.

Method used

The least squares gradient format with an extended template format is adopted. By developing a variable weight function, the weight factor is dynamically adjusted, the weight distribution of neighboring units is optimized, the error propagation in the long axis direction is suppressed, the checkerboard phenomenon is eliminated, and the numerical accuracy and robustness are improved.

Benefits of technology

It improves the computational accuracy and stability of large aspect ratio grid models, shortens the development cycle of fluid engineering models, reduces R&D costs, and realizes a complete closed loop from virtual simulation to physical verification.

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Abstract

This article relates to an evaluation method, device, and computer program product for a gradient-optimized fluid engineering model. The method includes meshing the fluid engineering model to obtain a mesh model; calculating a weight factor for each adjacent mesh of the target mesh based on the aspect ratio of each adjacent mesh; calculating the weight between the target mesh and each adjacent mesh based on the weight factor and the geometric distance between the center of the target mesh and the center of each adjacent mesh; calculating the first gradient of the target mesh based on the first field quantity of the target mesh and each adjacent mesh, and the weight between the target mesh and each adjacent mesh; iteratively calculating the field quantity based on the first gradient and the sum of the field quantities of each target mesh to obtain a target field quantity; and calculating an evaluation index based on the target field quantity. The embodiments of this article employ a variable weight function and set weight factors to solve the chessboard and numerical accuracy problems of the least squares extended template format when applied to mesh models with large aspect ratios.
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