PG-EAM - Programa de Pós-Graduação em Engenharia Aeronáutica e Mecânica
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Artigo 2016

Lyapunov exponents and adaptive mesh refinement for high-speed flows using a discontinuous Galerkin scheme

Autores

Bigarella, E. D.V.
Fazenda, A. L.
Ortega, M. A.

Journal of Computational Physics , vol. 319 , pp. 9-27

ISSN: 00219991

9
Citações
5
Autores

Resumo

© 2016 Elsevier Inc.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.

Palavras-chave

Adaptive mesh refinement Discontinuous Galerkin Finite-time Lyapunov exponent High-order methods High-speed flows

Numerical Analysis (MATH) Modeling and Simulation (MATH) Physics and Astronomy (miscellaneous) (PHYS) Physics and Astronomy (all) (PHYS) Computer Science Applications (COMP) Computational Mathematics (MATH) Applied Mathematics (MATH)
: Scopus
Última atualização: 2026-06-25
: 2-s2.0-84969218001
PII: S0021999116301565