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Network Community-based Model Reduction For Vortical Flows

Title: Network Community-based Model Reduction For Vortical Flows.
Name(s): Meena, Muralikrishnan Gopalakrishnan, author
Nair, Aditya G., author
Taira, Kunihiko, author
Type of Resource: text
Genre: Journal Article
Journal Article
Date Issued: 2018-06-11
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: A network community-based reduced-order model is developed to capture key interactions among coherent structures in high-dimensional unsteady vortical flows. The present approach is data-inspired and founded on network-theoretic techniques to identify important vortical communities that are comprised of vortical elements that share similar dynamical behavior. The overall interaction-based physics of the high-dimensional flow field is distilled into the vortical community centroids, considerably reducing the system dimension. Taking advantage of these vortical interactions, the proposed methodology is applied to formulate reduced-order models for the intercommunity dynamics of vortical flows, and predict lift and drag forces on bodies in wake flows. We demonstrate the capabilities of these models by accurately capturing the macroscopic dynamics of a collection of discrete point vortices, and the complex unsteady aerodynamic forces on a circular cylinder and an airfoil with a Gurney flap. The present formulation is found to be robust against simulated experimental noise and turbulence due to its integrating nature of the system reduction.
Identifier: FSU_libsubv1_wos_000434765500015 (IID), 10.1103/PhysRevE.97.063103 (DOI)
Keywords: identification, immersed boundary method, complex networks
Publication Note: The publisher’s version of record is available at
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Owner Institution: FSU
Is Part Of: Physical Review E.
Issue: iss. 6, vol. 97

Choose the citation style.
Meena, M. G., Nair, A. G., & Taira, K. (2018). Network Community-based Model Reduction For Vortical Flows. Physical Review E. Retrieved from