High-fidelity simulations in complex geometries: Towards better flow understanding and development of turbulence models
The present review shows a summary of current trends in high-fidelity simulations of turbulent flows in moderately complex geometries. These trends are put in the historical context of numerical simulations, starting with early weather predictions and continuing with seminal direct-numerical-simulat...
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doaj-9d6a03da448443188d2e1ba4d6bb8d272021-09-09T04:29:25ZengElsevierResults in Engineering2590-12302021-09-0111100254High-fidelity simulations in complex geometries: Towards better flow understanding and development of turbulence modelsRicardo Vinuesa0FLOW, Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, SwedenThe present review shows a summary of current trends in high-fidelity simulations of turbulent flows in moderately complex geometries. These trends are put in the historical context of numerical simulations, starting with early weather predictions and continuing with seminal direct-numerical-simulation work. Here we discuss high-fidelity simulations conducted in a number of complex geometries, including ducts, pipes, wings and obstacles, and describe the potential of the spectral-element method (SEM) to carry out such simulations. Finally, we provide a number of future directions where novel data-driven methods can exploit the great wealth of high-quality turbulence data in the literature.http://www.sciencedirect.com/science/article/pii/S2590123021000554Computatioanl fluid dynamicsHigh-fidelity simulationsTurbulent flowsSpectral-element methodGeometrical complexityTurbulence modelling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ricardo Vinuesa |
spellingShingle |
Ricardo Vinuesa High-fidelity simulations in complex geometries: Towards better flow understanding and development of turbulence models Results in Engineering Computatioanl fluid dynamics High-fidelity simulations Turbulent flows Spectral-element method Geometrical complexity Turbulence modelling |
author_facet |
Ricardo Vinuesa |
author_sort |
Ricardo Vinuesa |
title |
High-fidelity simulations in complex geometries: Towards better flow understanding and development of turbulence models |
title_short |
High-fidelity simulations in complex geometries: Towards better flow understanding and development of turbulence models |
title_full |
High-fidelity simulations in complex geometries: Towards better flow understanding and development of turbulence models |
title_fullStr |
High-fidelity simulations in complex geometries: Towards better flow understanding and development of turbulence models |
title_full_unstemmed |
High-fidelity simulations in complex geometries: Towards better flow understanding and development of turbulence models |
title_sort |
high-fidelity simulations in complex geometries: towards better flow understanding and development of turbulence models |
publisher |
Elsevier |
series |
Results in Engineering |
issn |
2590-1230 |
publishDate |
2021-09-01 |
description |
The present review shows a summary of current trends in high-fidelity simulations of turbulent flows in moderately complex geometries. These trends are put in the historical context of numerical simulations, starting with early weather predictions and continuing with seminal direct-numerical-simulation work. Here we discuss high-fidelity simulations conducted in a number of complex geometries, including ducts, pipes, wings and obstacles, and describe the potential of the spectral-element method (SEM) to carry out such simulations. Finally, we provide a number of future directions where novel data-driven methods can exploit the great wealth of high-quality turbulence data in the literature. |
topic |
Computatioanl fluid dynamics High-fidelity simulations Turbulent flows Spectral-element method Geometrical complexity Turbulence modelling |
url |
http://www.sciencedirect.com/science/article/pii/S2590123021000554 |
work_keys_str_mv |
AT ricardovinuesa highfidelitysimulationsincomplexgeometriestowardsbetterflowunderstandinganddevelopmentofturbulencemodels |
_version_ |
1717761411348692992 |