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Mathematical and numerical foundations of turbulence models and applications

With applications to climate, technology, and industry, the modeling and numerical simulation of turbulent flows are rich with history and modern relevance. The complexity of the problems that arise in the study of turbulence requires tools from various scientific disciplines, including mathematics,...

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Detalles Bibliográficos
Autores principales: Chacón Rebollo, Tomás, Lewandowski, Roger
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-1-4939-0455-6
http://cds.cern.ch/record/1742617
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author Chacón Rebollo, Tomás
Lewandowski, Roger
author_facet Chacón Rebollo, Tomás
Lewandowski, Roger
author_sort Chacón Rebollo, Tomás
collection CERN
description With applications to climate, technology, and industry, the modeling and numerical simulation of turbulent flows are rich with history and modern relevance. The complexity of the problems that arise in the study of turbulence requires tools from various scientific disciplines, including mathematics, physics, engineering, and computer science. Authored by two experts in the area with a long history of collaboration, this monograph provides a current, detailed look at several turbulence models from both the theoretical and numerical perspectives. The k-epsilon, large-eddy simulation, and other models are rigorously derived and their performance is analyzed using benchmark simulations for real-world turbulent flows. Mathematical and Numerical Foundations of Turbulence Models and Applications is an ideal reference for students in applied mathematics and engineering, as well as researchers in mathematical and numerical fluid dynamics. It is also a valuable resource for advanced graduate students in fluid dynamics, engineers, physical oceanographers, meteorologists, and climatologists.
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spelling cern-17426172021-04-21T20:56:31Zdoi:10.1007/978-1-4939-0455-6http://cds.cern.ch/record/1742617engChacón Rebollo, TomásLewandowski, RogerMathematical and numerical foundations of turbulence models and applicationsMathematical Physics and MathematicsWith applications to climate, technology, and industry, the modeling and numerical simulation of turbulent flows are rich with history and modern relevance. The complexity of the problems that arise in the study of turbulence requires tools from various scientific disciplines, including mathematics, physics, engineering, and computer science. Authored by two experts in the area with a long history of collaboration, this monograph provides a current, detailed look at several turbulence models from both the theoretical and numerical perspectives. The k-epsilon, large-eddy simulation, and other models are rigorously derived and their performance is analyzed using benchmark simulations for real-world turbulent flows. Mathematical and Numerical Foundations of Turbulence Models and Applications is an ideal reference for students in applied mathematics and engineering, as well as researchers in mathematical and numerical fluid dynamics. It is also a valuable resource for advanced graduate students in fluid dynamics, engineers, physical oceanographers, meteorologists, and climatologists.Springeroai:cds.cern.ch:17426172014
spellingShingle Mathematical Physics and Mathematics
Chacón Rebollo, Tomás
Lewandowski, Roger
Mathematical and numerical foundations of turbulence models and applications
title Mathematical and numerical foundations of turbulence models and applications
title_full Mathematical and numerical foundations of turbulence models and applications
title_fullStr Mathematical and numerical foundations of turbulence models and applications
title_full_unstemmed Mathematical and numerical foundations of turbulence models and applications
title_short Mathematical and numerical foundations of turbulence models and applications
title_sort mathematical and numerical foundations of turbulence models and applications
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-1-4939-0455-6
http://cds.cern.ch/record/1742617
work_keys_str_mv AT chaconrebollotomas mathematicalandnumericalfoundationsofturbulencemodelsandapplications
AT lewandowskiroger mathematicalandnumericalfoundationsofturbulencemodelsandapplications