Approximate deconvolution models of turbulence: analysis, phenomenology and numerical analysis

This volume presents a mathematical development of a recent approach to the modeling and simulation of turbulent flows based on methods for the approximate solution of inverse problems. The resulting Approximate Deconvolution Models or ADMs have some advantages over more commonly used turbulence mod...

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Detalles Bibliográficos
Autores principales: Layton, William J, Rebholz, Leo
Lenguaje:eng
Publicado: Springer 2012
Materias:
Mathematical Physics and Mathematics
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-24409-4
http://cds.cern.ch/record/1691795
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author Layton, William J
Rebholz, Leo
author_facet Layton, William J
Rebholz, Leo
author_sort Layton, William J
collection CERN
description This volume presents a mathematical development of a recent approach to the modeling and simulation of turbulent flows based on methods for the approximate solution of inverse problems. The resulting Approximate Deconvolution Models or ADMs have some advantages over more commonly used turbulence models – as well as some disadvantages. Our goal in this book is to provide a clear and complete mathematical development of ADMs, while pointing out the difficulties that remain. In order to do so, we present the analytical theory of ADMs, along with its connections, motivations and complements in the phenomenology of and algorithms for ADMs.
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spelling cern-16917952021-04-21T21:07:00Zdoi:10.1007/978-3-642-24409-4http://cds.cern.ch/record/1691795engLayton, William JRebholz, LeoApproximate deconvolution models of turbulence: analysis, phenomenology and numerical analysisMathematical Physics and MathematicsThis volume presents a mathematical development of a recent approach to the modeling and simulation of turbulent flows based on methods for the approximate solution of inverse problems. The resulting Approximate Deconvolution Models or ADMs have some advantages over more commonly used turbulence models – as well as some disadvantages. Our goal in this book is to provide a clear and complete mathematical development of ADMs, while pointing out the difficulties that remain. In order to do so, we present the analytical theory of ADMs, along with its connections, motivations and complements in the phenomenology of and algorithms for ADMs.Springeroai:cds.cern.ch:16917952012
spellingShingle Mathematical Physics and Mathematics
Layton, William J
Rebholz, Leo
Approximate deconvolution models of turbulence: analysis, phenomenology and numerical analysis
title Approximate deconvolution models of turbulence: analysis, phenomenology and numerical analysis
title_full Approximate deconvolution models of turbulence: analysis, phenomenology and numerical analysis
title_fullStr Approximate deconvolution models of turbulence: analysis, phenomenology and numerical analysis
title_full_unstemmed Approximate deconvolution models of turbulence: analysis, phenomenology and numerical analysis
title_short Approximate deconvolution models of turbulence: analysis, phenomenology and numerical analysis
title_sort approximate deconvolution models of turbulence: analysis, phenomenology and numerical analysis
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-642-24409-4
http://cds.cern.ch/record/1691795
work_keys_str_mv AT laytonwilliamj approximatedeconvolutionmodelsofturbulenceanalysisphenomenologyandnumericalanalysis
AT rebholzleo approximatedeconvolutionmodelsofturbulenceanalysisphenomenologyandnumericalanalysis

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