Year: 2021
Author: Zhuang Zhao, Yong-Tao Zhang, Yibing Chen, Jianxian Qiu
Communications in Computational Physics, Vol. 30 (2021), Iss. 3 : pp. 851–873
Abstract
In this paper, we develop a novel approach by combining a new robust finite difference Hermite weighted essentially non-oscillatory (HWENO) method [51] with the modified ghost fluid method (MGFM) [25] to simulate the compressible two-medium flow problems. The main idea is that we first use the technique of the MGFM to transform a two-medium flow problem to two single-medium cases by defining the ghost fluids status based on the predicted interface status. Then the efficient and robust HWENO finite difference method is applied for solving the single-medium flow cases. By using immediate neighbor information to deal with both the solution and its derivatives, the fifth order finite difference HWENO scheme adopted in this paper is more compact and has higher resolution than the classical fifth order finite difference WENO scheme of Jiang and Shu [14]. Furthermore, by combining the HWENO scheme with the MGFM to simulate the two-medium flow problems, less ghost point information is needed than that in using the classical WENO scheme in order to obtain the same numerical accuracy. Various one-dimensional and two-dimensional two-medium flow problems are solved to illustrate the good performances of the proposed method.
You do not have full access to this article.
Already a Subscriber? Sign in as an individual or via your institution
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/cicp.OA-2020-0184
Communications in Computational Physics, Vol. 30 (2021), Iss. 3 : pp. 851–873
Published online: 2021-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 23
Keywords: Hermite WENO scheme two-medium flow problems modified ghost fluid method Hermite interpolation.
Author Details
-
Enhanced fifth order WENO shock-capturing schemes with deep learning
Kossaczká, Tatiana
Ehrhardt, Matthias
Günther, Michael
Results in Applied Mathematics, Vol. 12 (2021), Iss. P.100201
https://doi.org/10.1016/j.rinam.2021.100201 [Citations: 13]