跳到主要导航 跳到搜索 跳到主要内容

An improved WENO method based on Gauss-kriging reconstruction with an optimized hyper-parameter

  • Northwestern Polytechnical University Xian

科研成果: 期刊稿件文章同行评审

29 引用 (Scopus)

摘要

An adaptive finite-difference WENO method with Gauss-kriging reconstruction (we call it WENO-K) is proposed to reduce dissipation in smooth regions of flow while preserving high-resolution around discontinuities for hyperbolic system of conservation laws. The method adopts a kriging model with non-polynomial Gauss exponential function to obtain new reconstruction coefficients that contain a hyper-parameter. By adaptively optimizing the hyper-parameter and automatically identifying troubled cells using newly developed indicators, the accuracy in the smooth region is obviously improved. Compared with the classical WENO-JS method, the proposed WENO-K method provides more accurate reconstructions and sharper solution profiles near discontinuities. Furthermore, the WENO-K method is easy to implement in an existing classical WENO code with less than 13%–16% of additional computational cost. Numerical results demonstrate that the proposed method outperforms the WENO-JS method for a broad range of problems. This method is supposed to be applied to other variants of WENO scheme and offers the potential of improving their accuracy.

源语言英语
文章编号109742
期刊Journal of Computational Physics
422
DOI
出版状态已出版 - 1 12月 2020

指纹

探究 'An improved WENO method based on Gauss-kriging reconstruction with an optimized hyper-parameter' 的科研主题。它们共同构成独一无二的指纹。

引用此