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Go4Hybrid: Grey Area Mitigation for Hybrid RANS-LES Methods - Results of the 7th Framework Research Project Go4Hybrid, Funded by the European Union, 2013-2015 (Hardcover, 1st ed. 2018) Loot Price: R5,480
Discovery Miles 54 800
Go4Hybrid: Grey Area Mitigation for Hybrid RANS-LES Methods - Results of the 7th Framework Research Project Go4Hybrid, Funded...

Go4Hybrid: Grey Area Mitigation for Hybrid RANS-LES Methods - Results of the 7th Framework Research Project Go4Hybrid, Funded by the European Union, 2013-2015 (Hardcover, 1st ed. 2018)

Charles Mockett, Werner Haase, Dieter Schwamborn

Series: Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 134

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Loot Price R5,480 Discovery Miles 54 800 | Repayment Terms: R514 pm x 12*

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This book reports on the EU-funded 7th Framework project, Go4Hybrid (Grey Area Mitigation for Hybrid RANS-LES Methods). It presents new findings concerning the accuracy and reliability of current hybrid RANS-LES methods. It describes improved formulations of both non-zonal and embedded hybrid strategies, together with their validation in a broad range of flow cases, and highlighting some key industrial applications. The book provides students, researchers and professionals in the field of applied computational fluid dynamics with a timely, practice-oriented reference guide.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 134
Release date: July 2017
First published: 2018
Editors: Charles Mockett • Werner Haase • Dieter Schwamborn
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 280
Edition: 1st ed. 2018
ISBN-13: 978-3-319-52994-3
Categories: Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Science & Mathematics > Physics > Classical mechanics > Fluid mechanics
Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of fluids > General
LSN: 3-319-52994-3
Barcode: 9783319529943

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