TY - BOOK AU - Sagaut,Pierre AU - World Scientific (Firm) AU - Deck,Sebastien AU - Terracol,Marc TI - Multiscale and multiresolution approaches in turbulence: LES, DES and hybrid RANS/LES methods : applications and guidelines SN - 9781848169876 AV - TA357 .M858 2013 PY - 2013/// CY - London PB - Imperial College Press KW - Turbulence KW - Mathematical models KW - Electronic Books N1 - 2; 1. A brief introduction to turbulence. 1.1. Common features of turbulent flows. 1.2. Turbulent scales and complexity of a turbulent field. 1.3. Inter-scale coupling in turbulent flows --; 2. Turbulence simulation and scale separation. 2.1. Numerical simulation of turbulent flows. 2.2. Reducing the cost of the simulations. 2.3. The averaging approach: Reynolds-Averaged Numerical Simulation (RANS). 2.4. The Large-Eddy Simulation approach (LES). 2.5. Multilevel/multiresolution methods. 2.6. Summary --; 3. Statistical multiscale modelling. 3.1. General. 3.2. Exact governing equations for the multiscale problem. 3.3. Spectral closures for band-integrated approaches. 3.4. A few multiscale models for band-integrated approaches. 3.5. Spectral closures for local approaches. 3.6. Achievements and open issues --; 4. Multiscale subgrid models: self-adaptivity. 4.1. Fundamentals of subgrid modelling. 4.2. Germano-type dynamic subgrid models. 4.3. Self-similarity based dynamic subgrid models. 4.4. Variational multiscale methods and related subgrid viscosity models --; 5. Structural multiscale subgrid models: small scales estimations. 5.1. Small-scale reconstruction methods: deconvolution. 5.2. Small scales reconstruction: multifractal subgrid-scale modelling. 5.3. Variational multiscale methods. 5.4. Multigrid-based decomposition. 5.5. Global multigrid approaches: cycling methods. 5.6. Zonal multigrid/multidomain methods --; 6. Unsteady turbulence simulation on self-adaptive grids. 6.1. Turbulence and self-adaptivity: expectations and issues. 6.2. Adaptive multilevel DNS and LES. 6.3. Adaptive wavelet-based methods: CVS, SCALES. 6.4. DNS and LES with optimal AMR --; 7. Global hybrid RANS/LES methods. 7.1. Bridging between hybrid RANS/LES methods and multiscale methods. 7.2. Motivation and classification of RANS/LES methods. 7.3. Unsteady statistical modelling approaches. 7.4. Global hybrid approaches --; 8. Zonal RANS/LES methods. 8.1. Inlet data generation --; mapping techniques. 8.2. Synthetic turbulence. 8.3. Forcing methods --; 9. Feedback from numerical experiments. 9.1. Flow physics classification and modelling strategy suitability. 9.2. Illustrative examples. 9.3. Further discussion; 2; b N2 - The book aims to provide the reader with an updated general presentation of multiscale/multiresolution approaches in turbulent flow simulations. All modern approaches (LES, hybrid RANS/LES, DES, SAS) are discussed and recast in a global comprehensive framework. Both theoretical features and practical implementation details are addressed. Some full scale applications are described, to provide the reader with relevant guidelines to facilitate a future use of these methods UR - https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=575423&site=eds-live&custid=s3260518 ER -