Commun. Comput. Phys., 11 (2012), pp. 1081-1102.


High-Order and High Accurate CFD Methods and Their Applications for Complex Grid Problems

Xiaogang Deng 1*, Meiliang Mao 1, Guohua Tu 1, Hanxin Zhang 1, Yifeng Zhang 1

1 State Key Laboratory of Aerodynamics, Aerodynamics Research and Development Center, Mianyang, 621000, P.R. China.

Received 15 May 2010; Accepted (in revised version) 15 May 2011
Available online 29 November 2011
doi:10.4208/cicp.100510.150511s

Abstract

The purpose of this article is to summarize our recent progress in high-order and high accurate CFD methods for flow problems with complex grids as well as to discuss the engineering prospects in using these methods. Despite the rapid development of high-order algorithms in CFD, the applications of high-order and high accurate methods on complex configurations are still limited. One of the main reasons which hinder the widely applications of these methods is the complexity of grids. Many aspects which can be neglected for low-order schemes must be treated carefully for high-order ones when the configurations are complex. In order to implement high-order finite difference schemes on complex multi-block grids, the geometric conservation law and block-interface conditions are discussed. A conservative metric method is applied to calculate the grid derivatives, and a characteristic-based interface condition is employed to fulfil high-order multi-block computing. The fifth-order WCNS-E-5 proposed by Deng [9, 10] is applied to simulate flows with complex grids, including a double-delta wing, a transonic airplane configuration, and a hypersonic X-38 configuration. The results in this paper and the references show pleasant prospects in engineering-oriented applications of high-order schemes.

AMS subject classifications: 76M20

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Key words: WCNS, complex configurations, geometric conservation law, conservative metric methods, characteristic-based interface conditions.

*Corresponding author.
Email: xgdeng@skla.cardc.cn (X. Deng), mlmao@skla.cardc.cn (M. Mao), ghtu@skla.cardc.cn (G. Tu), hxzhang@skla.cardc.cn (H. Zhang), yfzhang@skla.cardc.cn (Y. Zhang)
 

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