Author |
Moura, R. C.
![]() Silva, A. F. C. ![]() Bigarella, E. D. V. ![]() Fazenda, A. L. ![]() ![]() Ortega, M. A. ![]() |
Abstract | This paper proposes two important improvements to shock-capturing strategies using a discontinuous Galerkin scheme, namely, accurate shock identification via finite-time Lyapunov exponent (FTLE) operators and efficient shock treatment through a point-implicit discretization of a PDE-based artificial viscosity technique. The advocated approach is based on the FTLE operator, originally developed in the context of dynamical systems theory to identify certain types of coherent structures in a flow. We propose the application of FTLEs in the detection of shock waves and demonstrate the operator's ability to identify strong and weak shocks equally well. The detection algorithm is coupled with a mesh refinement procedure and applied to transonic and supersonic flows. While the proposed strategy can be used potentially with any numerical method, a high-order discontinuous Galerkin solver is used in this study. In this context, two artificial viscosity approaches are employed to regularize the solution near shocks: an element-wise constant viscosity technique and a PDE-based smooth viscosity model. As the latter approach is more sophisticated and preferable for complex problems, a point-implicit discretization in time is proposed to reduce the extra stiffness introduced by the PDE-based technique, making it more competitive in terms of computational cost. (C) 2016 Elsevier Inc. All rights reserved. |
Keywords |
High-speed flows
Adaptive mesh refinement Finite-time Lyapunov exponent Discontinuous Galerkin High-order methods |
Language | English |
Sponsor | FAPESP (Sao Paulo Research Foundation) [2012/16973-5] |
Grant number |
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Date | 2016 |
Published in | Journal Of Computational Physics. San Diego, v. 319, p. 9-27, 2016. |
ISSN | 0021-9991 (Sherpa/Romeo, impact factor) |
Publisher | Academic Press Inc Elsevier Science |
Extent | 9-27 |
Origin |
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Access rights | Closed access |
Type | Article |
Web of Science ID | WOS:000377044100002 |
URI | http://repositorio.unifesp.br/handle/11600/51169 |
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