Modeling the Turbulent Wake Behind a Wall-Mounted Square Cylinder

Amor C, Perez JM, Schlatter P, Vinuesa R, Le Clainche S (2022)


Publication Type: Journal article

Publication year: 2022

Journal

Book Volume: 30

Pages Range: 263-276

Journal Issue: 2

DOI: 10.1093/jigpal/jzaa060

Abstract

This article introduces some soft computing methods generally used for data analysis and flow pattern detection in fluid dynamics. These techniques decompose the original flow field as an expansion of modes, which can be either orthogonal in time (variants of dynamic mode decomposition), or in space (variants of proper orthogonal decomposition) or in time and space (spectral proper orthogonal decomposition), or they can simply be selected using some sophisticated statistical techniques (empirical mode decomposition). The performance of these methods is tested in the turbulent wake of a wall-mounted square cylinder. This highly complex flow is suitable to show the ability of the aforementioned methods to reduce the degrees of freedom of the original data by only retaining the large scales in the flow. The main result is a reduced-order model of the original flow case, based on a low number of modes. A deep discussion is carried out about how to choose the most computationally efficient method to obtain suitable reduced-order models of the flow. The techniques introduced in this article are data-driven methods that could be applied to model any type of non-linear dynamical system, including numerical and experimental databases.

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How to cite

APA:

Amor, C., Perez, J.M., Schlatter, P., Vinuesa, R., & Le Clainche, S. (2022). Modeling the Turbulent Wake Behind a Wall-Mounted Square Cylinder. Logic Journal of the Igpl, 30(2), 263-276. https://doi.org/10.1093/jigpal/jzaa060

MLA:

Amor, Christian, et al. "Modeling the Turbulent Wake Behind a Wall-Mounted Square Cylinder." Logic Journal of the Igpl 30.2 (2022): 263-276.

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