Characterization of the Wake past a Two-dimensional Multi-body Cylinder Arrangement

Martínez, Víctor Beltrán; Clainche, Soledad Le; Prada, José Manuel Vega de

doi:10.2514/6.2018-0825

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2018

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Cited by 2 publications

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“…Additional applications involving numerically generated data include the analysis of the turbulent wake of a cross flow wind turbine [63] and an off-shore wind turbine [64], as well as the analysis of wakes interaction [65].…”

Section: Additional Applications Some Additional Applications Are Nomentioning

confidence: 99%

Analyzing Nonlinear Dynamics via Data‐Driven Dynamic Mode Decomposition‐Like Methods

Clainche

Vega

2018

Complexity

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This article presents a review on two methods based on dynamic mode decomposition and its multiple applications, focusing on higher order dynamic mode decomposition (which provides a purely temporal Fourier-like decomposition) and spatiotemporal Koopman decomposition (which gives a spatiotemporal Fourier-like decomposition). These methods are purely data-driven, using either numerical or experimental data, and permit reconstructing the given data and identifying the temporal growth rates and frequencies involved in the dynamics and the spatial growth rates and wavenumbers in the case of the spatiotemporal Koopman decomposition. Thus, they may be used to either identify and extrapolate the dynamics from transient behavior to permanent dynamics or construct efficient, purely data-driven reduced order models.

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Section: Additional Applications Some Additional Applications Are Nomentioning

confidence: 99%