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Numerical Simulation of Turbulent Flows and Noise Generation - Results of the DFG/CNRS Research Groups FOR 507 and FOR 508 (Paperback, Softcover reprint of hardcover 1st ed. 2009) Loot Price: R5,719
Discovery Miles 57 190
Repayment Terms: R536 pm x 12*
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Numerical Simulation of Turbulent Flows and Noise Generation - Results of the DFG/CNRS Research Groups FOR 507 and FOR 508...

Numerical Simulation of Turbulent Flows and Noise Generation - Results of the DFG/CNRS Research Groups FOR 507 and FOR 508 (Paperback, Softcover reprint of hardcover 1st ed. 2009)

Christophe Brun; Adapted by W. Schroeder; Edited by Daniel Juve, Michael Manhart, Claus-Dieter Munz

Series: Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 104

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Loot Price R5,719 Discovery Miles 57 190 | Repayment Terms: R536 pm x 12*

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Large Eddy Simulation (LES) is a high-fidelity approach to the numerical simulation of turbulent flows. Recent developments have shown LES to be able to predict aerodynamic noise generation and propagation as well as the turbulent flow, by means of either a hybrid or a direct approach. This book is based on the results of two French/German research groups working on LES simulations in complex geometries and noise generation in turbulent flows. The results provide insights into modern prediction approaches for turbulent flows and noise generation mechanisms as well as their use for novel noise reduction concepts.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 104
Release date: October 2010
First published: 2009
Editors: Christophe Brun
Adapted by: W. Schroeder
Editors: Daniel Juve • Michael Manhart • Claus-Dieter Munz
Dimensions: 235 x 155 x 18mm (L x W x T)
Format: Paperback
Pages: 342
Edition: Softcover reprint of hardcover 1st ed. 2009
ISBN-13: 978-3-642-10067-3
Categories: Books > Professional & Technical > Transport technology > Automotive technology > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-642-10067-8
Barcode: 9783642100673

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