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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

Publication Date

January 1, 2018
 

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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

Publication Date

January 1, 2018