Progress in Hybrid RANS-LES Modelling Papers Contributed to the 5th Symposium on Hybrid RANS-LES Methods, 19-21 March 2014, College Station, A&M University, Texas, USA için kapak resmi
Progress in Hybrid RANS-LES Modelling Papers Contributed to the 5th Symposium on Hybrid RANS-LES Methods, 19-21 March 2014, College Station, A&M University, Texas, USA
Başlık:
Progress in Hybrid RANS-LES Modelling Papers Contributed to the 5th Symposium on Hybrid RANS-LES Methods, 19-21 March 2014, College Station, A&M University, Texas, USA
Yazar:
Girimaji, Sharath. editor.
ISBN:
9783319151410
Fiziksel Niteleme:
XI, 501 p. 291 illus., 192 illus. in color. online resource.
Seri:
Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 130
İçindekiler:
Invited Keynote Papers -- LES and Embedded LES -- Detached Eddy Simulations -- Hybrid and Zonal Methods -- Bridging Methods -- Applications.
Özet:
This book gathers the proceedings of the Fifth Symposium on Hybrid RANS-LES Methods, which was held on March 19-21 in College Station, Texas, USA. The different chapters, written by leading experts, reports on the most recent developments in flow physics modelling, and gives a special emphasis to industrially relevant applications of hybrid RANS-LES methods and other turbulence-resolving modelling approaches. The book addresses academic researchers, graduate students, industrial engineers, as well as industrial R&D managers and consultants dealing with turbulence modelling, simulation and measurement, and with multidisciplinary applications of computational fluid dynamics (CFD), such as flow control, aero-acoustics, aero-elasticity and CFD-based multidisciplinary optimization. It discusses in particular advanced hybrid RANS-LES methods. Further topics include wall-modelled Large Eddy Simulation (WMLES) methods, embedded LES, and a comparison of the LES methods with both hybrid RANS-LES and URANS methods. Overall, the book provides readers with a snapshot on the state-of-the-art in CFD and turbulence modelling, with a special focus to hybrid RANS-LES methods and their industrial applications.