Navigation auf zora.uzh.ch

Search ZORA

ZORA (Zurich Open Repository and Archive)

“A posteriori” limited high order and robust schemes for transient simulations of fluid flows in gas dynamics

Bacigaluppi, Paola; Abgrall, Remi; Tokareva, Svetlana (2023). “A posteriori” limited high order and robust schemes for transient simulations of fluid flows in gas dynamics. Journal of Computational Physics, 476:111898.

Abstract

In this paper, we propose a novel approximation strategy for time-dependent hyperbolic systems of conservation laws for the Euler system of gas dynamics that aims to represent the dynamics of strong interacting discontinuities. The goal of our method is to allow an approximation with a high-order of accuracy in smooth regions of the flow, while ensuring robustness and a non-oscillatory behaviour in the regions of steep gradients, in particular across shocks. Following the Multidimensional Optimal Order Detection (MOOD) ([15,17]) approach, a candidate solution is computed at a next time level via a high-order accurate explicit scheme ([3,5]). A so-called detector determines if the candidate solution reveals any spurious oscillations or numerical issue and, if so, only the troubled cells are locally recomputed via a more dissipative scheme. This allows to design a family of “a posteriori” limited, robust and positivity preserving, as well as high accurate, non-oscillatory and effective scheme. Among the detecting criteria of the novel MOOD strategy, two different approaches from literature, based on the work of [15,17] and on [35], are investigated. Numerical examples in 1D and 2D, on structured and unstructured meshes, are proposed to assess the effective order of accuracy for smooth flows, the non-oscillatory behaviour on shocked flows, the robustness and positivity preservation on more extreme flows.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Mathematics
Dewey Decimal Classification:510 Mathematics
Uncontrolled Keywords:Computer Science Applications, Physics and Astronomy (miscellaneous), Applied Mathematics, Computational Mathematics, Modeling and Simulation, Numerical Analysis Engineering controlled terms: Flow of fluids; Physical properties Engineering uncontrolled terms: A posteriori limiter; Explicit scheme; High order of accuracy in space and time; High-order; Higher-order; Hyperbolic conservation laws; Order of accuracy; Posteriori; Space and time; Strong interacting discontinuity; Unsteady compressible flow Engineering main heading: Gas dynamics
Language:English
Date:1 March 2023
Deposited On:08 Feb 2023 08:49
Last Modified:29 Dec 2024 02:34
Publisher:Elsevier
ISSN:0021-9991
Additional Information:Funding sponsor: Raphaël Loubère ; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung SNF 200021_153604 ; Centre National de la Recherche Scientifique CNRS ; Université de Bordeaux ; Université de Montpellier UM Funding text 1: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Paola Bacigaluppi reports financial support was provided by Swiss National Science Foundation project 200021_153604. Remi Abgrall reports financial support was provided by Swiss National Science Foundation project 200021_153604. Remi Abgrall reports a relationship with Swiss National Science Foundation that includes: board membership and funding grants.P.B. has been funded by Swiss National Science Foundation project 200021_153604 “High fidelity simulation for compressible materials”. R.A. has been funded in part by the same project. The authors would like to thank Raphaël Loubère (CNRS and Université de Bordeaux, France) for the very helpful discussions about MOOD and François Vilar (Université de Montpellier, France) for the helpful discussions for the LSE detection strategy of this paper. Funding text 2: P.B. has been funded by Swiss National Science Foundation project 200021_153604 “High fidelity simulation for compressible materials”. R.A. has been funded in part by the same project. The authors would like to thank Raphaël Loubère (CNRS and Université de Bordeaux, France) for the very helpful discussions about MOOD and François Vilar (Université de Montpellier, France) for the helpful discussions for the LSE detection strategy of this paper.
OA Status:Closed
Publisher DOI:https://doi.org/10.1016/j.jcp.2022.111898
Full text not available from this repository.

Metadata Export

Statistics

Citations

Dimensions.ai Metrics
6 citations in Web of Science®
6 citations in Scopus®
Google Scholar™

Altmetrics

Authors, Affiliations, Collaborations

Similar Publications