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Numerical Simulation of Tur...

Numerical Simulation of Turbulent Flows and Noise Generation [Results of the DFG/CNRS Research Groups FOR 507 and FOR 508

Brun, Christophe

Springer Berlin Heidelberg 2009

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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monografia Rebiun11869660 https://catalogo.rebiun.org/rebiun/record/Rebiun11869660 cr nn 008mamaa 100301s2009 gw | s |||| 0|eng d 9783540899563 10.1007/978-3-540-89956-3 doi UPVA 996887804103706 UAM 991007780556604211 CBUC 991004877422406711 UCAR 991007922529304213 UMO 110722 TRC bicssc TRCS bicssc TEC009090 bisacsh 629.2 23 Brun, Christophe Numerical Simulation of Turbulent Flows and Noise Generation Recurso electrónico-En línea] Results of the DFG/CNRS Research Groups FOR 507 and FOR 508 edited by Christophe Brun, Daniel Juvé, Michael Manhart, Claus-Dieter Munz Berlin, Heidelberg Springer Berlin Heidelberg 2009 Berlin, Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg digital Notes on Numerical Fluid Mechanics and Multidisciplinary Design 1612-2909 104 Engineering (Springer-11647) Accesible sólo para usuarios de la UPV Recurso a texto completo 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 Reproducción electrónica Forma de acceso: Web Engineering Engineering Automotive Engineering Computational Intelligence Juvé, Daniel Manhart, Michael Munz, Claus-Dieter SpringerLink (Servicio en línea) Springer eBooks Springer eBooks Printed edition 9783540899556 Notes on Numerical Fluid Mechanics and Multidisciplinary Design 1612-2909 104

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monografia Rebiun11869660 https://catalogo.rebiun.org/rebiun/record/Rebiun11869660 cr nn 008mamaa 100301s2009 gw | s |||| 0|eng d 9783540899563 10.1007/978-3-540-89956-3 doi UPVA 996887804103706 UAM 991007780556604211 CBUC 991004877422406711 UCAR 991007922529304213 UMO 110722 TRC bicssc TRCS bicssc TEC009090 bisacsh 629.2 23 Brun, Christophe Numerical Simulation of Turbulent Flows and Noise Generation Recurso electrónico-En línea] Results of the DFG/CNRS Research Groups FOR 507 and FOR 508 edited by Christophe Brun, Daniel Juvé, Michael Manhart, Claus-Dieter Munz Berlin, Heidelberg Springer Berlin Heidelberg 2009 Berlin, Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg digital Notes on Numerical Fluid Mechanics and Multidisciplinary Design 1612-2909 104 Engineering (Springer-11647) Accesible sólo para usuarios de la UPV Recurso a texto completo 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 Reproducción electrónica Forma de acceso: Web Engineering Engineering Automotive Engineering Computational Intelligence Juvé, Daniel Manhart, Michael Munz, Claus-Dieter SpringerLink (Servicio en línea) Springer eBooks Springer eBooks Printed edition 9783540899556 Notes on Numerical Fluid Mechanics and Multidisciplinary Design 1612-2909 104