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A finite volume error estimator inspired by the variational multiscale approach

Publication ,  Conference
Colomés, O; Scovazzi, G; Sraj, I; Knio, O; Maître, OL
Published in: AIAA Non-Deterministic Approaches Conference, 2018
January 1, 2018

In this work, we define a family of explicit a posteriori error estimators for Finite Volume methods in computational fluid dynamics. The proposed error estimators are inspired by the Variational Multiscale method, originally defined in a Finite Element context. The proposed error estimators are tested in simulations of the incompressible Navier-Stokes equations, the thermally-coupled Navier-Stokes equations, and the fully-coupled compressible large eddy simulation of the HIFiRE Direct Connect Rig Scramjet combustor.

Duke Scholars

Published In

AIAA Non-Deterministic Approaches Conference, 2018

DOI

ISBN

9781624105296

Publication Date

January 1, 2018
 

Citation

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Colomés, O., Scovazzi, G., Sraj, I., Knio, O., & Maître, O. L. (2018). A finite volume error estimator inspired by the variational multiscale approach. In AIAA Non-Deterministic Approaches Conference, 2018. https://doi.org/10.2514/6.2018-1178
Colomés, O., G. Scovazzi, I. Sraj, O. Knio, and O. L. Maître. “A finite volume error estimator inspired by the variational multiscale approach.” In AIAA Non-Deterministic Approaches Conference, 2018, 2018. https://doi.org/10.2514/6.2018-1178.
Colomés O, Scovazzi G, Sraj I, Knio O, Maître OL. A finite volume error estimator inspired by the variational multiscale approach. In: AIAA Non-Deterministic Approaches Conference, 2018. 2018.
Colomés, O., et al. “A finite volume error estimator inspired by the variational multiscale approach.” AIAA Non-Deterministic Approaches Conference, 2018, 2018. Scopus, doi:10.2514/6.2018-1178.
Colomés O, Scovazzi G, Sraj I, Knio O, Maître OL. A finite volume error estimator inspired by the variational multiscale approach. AIAA Non-Deterministic Approaches Conference, 2018. 2018.

Published In

AIAA Non-Deterministic Approaches Conference, 2018

DOI

ISBN

9781624105296

Publication Date

January 1, 2018