4.7 Article

A space-time smooth artificial viscosity method with wavelet noise indicator and shock collision scheme, Part 1: The 1-D case

期刊

JOURNAL OF COMPUTATIONAL PHYSICS
卷 387, 期 -, 页码 81-116

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2019.02.049

关键词

Gas dynamics; Shocks and contacts; Euler equations; Artificial viscosity; Shock collision; Noise indicator

资金

  1. Office of Defense Nuclear Nonproliferation Research and Development
  2. Defense Threat Reduction Agency [HDTRA1825370 (DTRA10027 - 25370)]
  3. DTRA [HDTRA11810022]
  4. U.S. Department of Defense (DOD) [HDTRA11810022] Funding Source: U.S. Department of Defense (DOD)

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In this first part of two papers, we extend the C-method developed in [40] for adding localized, space-time smooth artificial viscosity to nonlinear systems of conservation laws that propagate shock waves, rarefaction waves, and contact discontinuities in one space dimension. For gas dynamics, the C-method couples the Euler equations to a scalar reaction-diffusion equation, whose solution C serves as a space-time smooth artificial viscosity indicator. The purpose of this paper is the development of a high-order numerical algorithm for shock-wall collision and bounce-back. Specifically, we generalize the original C-method by adding a new collision indicator, which naturally activates during shock-wall collision. Additionally, we implement a new high-frequency wavelet-based noise detector together with an efficient and localized noise removal algorithm. To test the methodology, we use a highly simplified WENO-based discretization scheme. We show that our scheme improves the order of accuracy of our WENO algorithm, handles extremely strong discontinuities (ranging up to nine orders of magnitude), allows for shock collision and bounce back, and removes high frequency noise. The causes of the well-known wall heating phenomenon are discussed, and we demonstrate that this particular pathology can be effectively treated in the framework of the C-method. This method is generalized to two space dimensions in the second part of this work [41]. (C) 2019 Elsevier Inc. All rights reserved.

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