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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.
Sommario
Noise Generation in Turbulent Flows.- Reduced-Order Modelling of Turbulent Jets for Noise Control.- Numerical Simulation of Supersonic Jet Noise.- Fluid-Acoustic Coupling and Wave Propagation.- Mechanisms and Active Control of Jet-Induced Noise.- Noise Prediction for Turbulent Coaxial Jets.- Numerical Simulation of Jet Mixing Noise Associated with Engine Exhausts.- LES of Complex Flows.- Implicit Turbulence Modeling by Finite Volume Methods.- Numerical Simulation of Turbulent Flows in Complex Geometries Using the Coherent Vortex Simulation Approach Based on Orthonormal Wavelet Decomposition.- Hybrid LES-RANS-Coupling for Complex Flows with Separation.- Segregated LES/RANS Coupling Conditions for the Simulation of Complex Turbulent Flows.- LES, Zonal and Seamless Hybrid LES/RANS: Rationale and Application to Free and Wall-Bounded Flows Involving Separation and Swirl.- Wall Scaling and Wall Models for Complex Turbulent Flows.- High-Order Methods for Large-Eddy Simulation in Complex Geometries.
Riassunto
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.
