Approximate Deconvolution Reduced Order Modeling

dc.contributor.authorXie, X.en
dc.contributor.authorWells, D.en
dc.contributor.authorWang, Z.en
dc.contributor.authorIliescu, Traianen
dc.contributor.departmentMathematicsen
dc.date.accessioned2017-01-26T15:05:17Zen
dc.date.available2017-01-26T15:05:17Zen
dc.date.issued2016-10-12en
dc.description.abstractThis paper proposes a large eddy simulation reduced order model(LES-ROM) framework for the numerical simulation of realistic flows. In this LES-ROM framework, the proper orthogonal decomposition(POD) is used to define the ROM basis and a POD differential filter is used to define the large ROM structures. An approximate deconvolution(AD) approach is used to solve the ROM closure problem and develop a new AD-ROM. This AD-ROM is tested in the numerical simulation of the one-dimensional Burgers equation with a small diffusion coefficient(10^{-3})en
dc.description.notes31pagesen
dc.identifier.urihttp://hdl.handle.net/10919/74431en
dc.relation.urihttp://arxiv.org/abs/1510.02726v1en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectphysics.flu-dynen
dc.titleApproximate Deconvolution Reduced Order Modelingen
dc.typeArticleen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Scienceen
pubs.organisational-group/Virginia Tech/Science/COS T&R Facultyen
pubs.organisational-group/Virginia Tech/Science/Mathematicsen

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