Dynamic mode decomposition of inertial particle caustics in Taylor–Green flow

Abstract Inertial particles advected by a background flow can show complex structures. We consider inertial particles in a 2D Taylor–Green (TG) flow and characterize particle dynamics as a function of the particle’s Stokes number using dynamic mode decomposition (DMD) method from particle image velo...

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Autores principales:	Omstavan Samant, Jaya Kumar Alageshan, Sarveshwar Sharma, Animesh Kuley
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/970846ba7b734453bd1dcee4648245ac
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spelling	oai:doaj.org-article:970846ba7b734453bd1dcee4648245ac2021-12-02T15:45:15ZDynamic mode decomposition of inertial particle caustics in Taylor–Green flow10.1038/s41598-021-89953-32045-2322https://doaj.org/article/970846ba7b734453bd1dcee4648245ac2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89953-3https://doaj.org/toc/2045-2322Abstract Inertial particles advected by a background flow can show complex structures. We consider inertial particles in a 2D Taylor–Green (TG) flow and characterize particle dynamics as a function of the particle’s Stokes number using dynamic mode decomposition (DMD) method from particle image velocimetry (PIV) like-data. We observe the formation of caustic structures and analyze them using DMD to (a) determine the Stokes number of the particles, and (b) estimate the particle Stokes number composition. Our analysis in this idealized flow will provide useful insight to analyze inertial particles in more complex or turbulent flows. We propose that the DMD technique can be used to perform similar analysis on an experimental system.Omstavan SamantJaya Kumar AlageshanSarveshwar SharmaAnimesh KuleyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Omstavan Samant Jaya Kumar Alageshan Sarveshwar Sharma Animesh Kuley Dynamic mode decomposition of inertial particle caustics in Taylor–Green flow
description	Abstract Inertial particles advected by a background flow can show complex structures. We consider inertial particles in a 2D Taylor–Green (TG) flow and characterize particle dynamics as a function of the particle’s Stokes number using dynamic mode decomposition (DMD) method from particle image velocimetry (PIV) like-data. We observe the formation of caustic structures and analyze them using DMD to (a) determine the Stokes number of the particles, and (b) estimate the particle Stokes number composition. Our analysis in this idealized flow will provide useful insight to analyze inertial particles in more complex or turbulent flows. We propose that the DMD technique can be used to perform similar analysis on an experimental system.
format	article
author	Omstavan Samant Jaya Kumar Alageshan Sarveshwar Sharma Animesh Kuley
author_facet	Omstavan Samant Jaya Kumar Alageshan Sarveshwar Sharma Animesh Kuley
author_sort	Omstavan Samant
title	Dynamic mode decomposition of inertial particle caustics in Taylor–Green flow
title_short	Dynamic mode decomposition of inertial particle caustics in Taylor–Green flow
title_full	Dynamic mode decomposition of inertial particle caustics in Taylor–Green flow
title_fullStr	Dynamic mode decomposition of inertial particle caustics in Taylor–Green flow
title_full_unstemmed	Dynamic mode decomposition of inertial particle caustics in Taylor–Green flow
title_sort	dynamic mode decomposition of inertial particle caustics in taylor–green flow
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/970846ba7b734453bd1dcee4648245ac
work_keys_str_mv	AT omstavansamant dynamicmodedecompositionofinertialparticlecausticsintaylorgreenflow AT jayakumaralageshan dynamicmodedecompositionofinertialparticlecausticsintaylorgreenflow AT sarveshwarsharma dynamicmodedecompositionofinertialparticlecausticsintaylorgreenflow AT animeshkuley dynamicmodedecompositionofinertialparticlecausticsintaylorgreenflow
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Dynamic mode decomposition of inertial particle caustics in Taylor–Green flow

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