Hybrid dynamic grid method based on radial basis function interpolation and adaptive reconnection

A basis function, self-adaptive technology, applied in the field of computational fluid dynamics, can solve problems such as grid distortion, achieve the effect of improving quality, avoiding excessive changes in grid topology, and enhancing applicability and robustness

Inactive Publication Date: 2020-11-03
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

[0005] Aiming at the grid distortion problem that occurs when the existing grid deformation method deals with the large displacement movement of the bou

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  • Hybrid dynamic grid method based on radial basis function interpolation and adaptive reconnection
  • Hybrid dynamic grid method based on radial basis function interpolation and adaptive reconnection
  • Hybrid dynamic grid method based on radial basis function interpolation and adaptive reconnection

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Embodiment Construction

[0058] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention can be implemented in various ways defined and covered by the claims.

[0059] The present invention provides a hybrid dynamic grid method based on radial basis function interpolation and adaptive reconnection, comprising the following steps:

[0060] Step 1. Obtain the initialization grid data of the simulation object, and initialize the time; the simulation object includes a submarine, a ship or an aircraft, etc.;

[0061] Step 2, using a radial basis function interpolation algorithm to update the initialized grid data to obtain the first grid data of the current time step;

[0062] Step 3. When there are fragmented grid units below the quality threshold in the first grid data, perform scale calculation on the grid units in the first grid data according to a preset growth factor;

[0063] Step 4. According to the calculatio...

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Abstract

The invention provides a hybrid dynamic grid method based on radial basis function interpolation and self-adaptive reconnection, which comprises the following steps: acquiring initialized grid data ofa simulation object, and initializing time; updating the initialized grid data by adopting a radial basis function interpolation algorithm to obtain first grid data of the current time step; when a fragment grid unit lower than a quality threshold value exists in the first grid data, performing scale gauge calculation on the grid unit in the first grid data according to a preset growth factor; according to a calculation result of a scale gauge, performing adaptive reconnection on grid cells in the first grid data to obtain second grid data; and when a preset time condition is reached, outputting the second grid data. The method provided by the invention can improve the calculation capability of the discrete grid for large-displacement and large-deformation motion boundary problems, and enhances the applicability and robustness of the dynamic grid method.

Description

technical field [0001] The invention belongs to the field of computational fluid dynamics for engineering applications, and in particular relates to a hybrid dynamic grid method based on radial basis function interpolation and self-adaptive reconnection. Background technique [0002] With the rapid development of high-performance computing, numerical simulation based on computer systems has become one of the important means of current scientific research. Among many numerical simulation applications, Computational Fluid Dynamics (CFD) is a common comprehensive interdisciplinary direction integrating mathematics, mechanics and computer science. It mainly divides the physical space into computational grids, And realize equation discretization and numerical solution based on spatial grid. In CFD, the moving boundary problem refers to a type of typical application in which there is relative motion between the physical boundary and the flow field during the simulation process, c...

Claims

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Application Information

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IPC IPC(8): G06F30/28
CPCG06F30/28
Inventor 杨灿群李超郭晓威吴诚堃徐传福张翔高翔赵然番丝江刘毅张森
Owner NAT UNIV OF DEFENSE TECH
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