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arXiv math/0110029math.NAcs.NA
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自然高频振荡下的激波捕捉

Shock-capturing with natural high frequency oscillations

Y. C. Zhou, Yun Gu, G. W. Wei

AI总结:

本文提出一种基于离散奇异卷积的共轭滤波器振荡抑制(CFOR)格式,用于自然高频振荡下的激波捕捉,在激波-熵波相互作用中取得最佳数值结果,且格式稳定、保守、可靠。

摘要:

本文探讨了一种新开发的共轭滤波器振荡抑制(CFOR)格式在自然高频振荡影响下用于激波捕捉的潜力。基于离散奇异卷积原理构建了共轭低通和高通滤波器。考虑了两个欧拉系统,即等熵涡流平流和激波-熵波相互作用,以展示CFOR格式的实用性。计算精度和逼近阶与文献进行了比较。对于激波-熵波相互作用,获得了一些最佳数值结果。数值实验表明,所提出的格式对于双曲守恒律的数值模拟是稳定、保守且可靠的。

英文摘要:

This paper explores the potential of a newly developed conjugate filter oscillation reduction (CFOR) scheme for shock-capturing under the influence of natural high-frequency oscillations. The conjugate low-pass and high-pass filters are constructed based on the principle of the discrete singular convolution. Two Euler systems, the advection of an isentropy vortex flow and the interaction of shock-entropy wave are considered to demonstrate the utility of the CFOR scheme. Computational accuracy and order of approximation are examined and compared with the literature. Some of the best numerical results are obtained for the shock-entropy wave interaction. Numerical experiments indicate that the proposed scheme is stable, conservative and reliable for the numerical simulation of hyperbolic conservation laws.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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