Numerical Simulation of Turbulent Flows and Noise Generation: Results of the DFG/CNRS Research Groups FOR 507 and FOR 508: 104 Softcover reprint of hardcover 1st ed. 2009 Edition

Numerical Simulation of Turbulent Flows and Noise Generation: Results of the DFG/CNRS Research Groups FOR 507 and FOR 508: 104 Softcover reprint of hardcover 1st ed. 2009 Edition book cover

Numerical Simulation of Turbulent Flows and Noise Generation: Results of the DFG/CNRS Research Groups FOR 507 and FOR 508: 104 Softcover reprint of hardcover 1st ed. 2009 Edition

Author(s): Christophe Brun (Editor), Daniel Juvé (Editor), Michael Manhart (Editor), Claus-Dieter Munz (Editor), W. Schröder (Adapter)

  • Publisher: Springer
  • Publication Date: 22 Oct. 2010
  • Edition: Softcover reprint of hardcover 1st ed. 2009
  • Language: English
  • Print length: 352 pages
  • ISBN-10: 3642100678
  • ISBN-13: 9783642100673

Book Description

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.

Editorial Reviews

From the Back Cover

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.

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