Multiscale and multiresolution approaches in turbulence :: LES, DES and hybrid RANS/LES methods : applications and guidelines /
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 practica...
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Hauptverfasser: | , , |
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Körperschaft: | |
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
London : Singapore :
Imperial College Press ; Distributed by World Scientific Pub. Co.,
©2013.
|
Ausgabe: | 2nd edition. |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | 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. |
Beschreibung: | 1 online resource (xviii, 427 pages) : illustrations (some color) |
Bibliographie: | Includes bibliographical references (pages 397-423) and index. |
ISBN: | 9781848169876 1848169876 |
Internformat
MARC
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100 | 1 | |a Sagaut, Pierre, |d 1967- |e author. |1 https://id.oclc.org/worldcat/entity/E39PBJvHd64qBhhxVMykqRMkjC |0 http://id.loc.gov/authorities/names/n00014670 | |
245 | 1 | 0 | |a Multiscale and multiresolution approaches in turbulence : |b LES, DES and hybrid RANS/LES methods : applications and guidelines / |c Pierre Sagaut, Sébastien Deck, Marc Terracol. |
250 | |a 2nd edition. | ||
260 | |a London : |b Imperial College Press ; |a Singapore : |b Distributed by World Scientific Pub. Co., |c ©2013. | ||
300 | |a 1 online resource (xviii, 427 pages) : |b illustrations (some color) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a data file |2 rda | ||
380 | |a Bibliography | ||
504 | |a Includes bibliographical references (pages 397-423) and index. | ||
505 | 0 | |a 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. | |
520 | |a 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. | ||
650 | 0 | |a Turbulence |x Mathematical models. | |
650 | 6 | |a Turbulence |x Modèles mathématiques. | |
650 | 7 | |a SCIENCE |x Mechanics |x Fluids. |2 bisacsh | |
650 | 7 | |a Turbulence |x Mathematical models |2 fast | |
700 | 1 | |a Deck, Sebastien, |e author. |1 https://id.oclc.org/worldcat/entity/E39PBJyGYCVfMVTTvrfXY7wwG3 |0 http://id.loc.gov/authorities/names/nb2006020295 | |
700 | 1 | |a Terracol, Marc, |e author. | |
710 | 2 | |a World Scientific (Firm) |0 http://id.loc.gov/authorities/names/no2001005546 | |
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776 | 0 | 8 | |i Print version: |a Sagaut, Pierre, 1967- |t Multiscale and multiresolution approaches in turbulence. |b 2nd edition. |d London : Imperial College Press, [2013] |z 9781848169869 |w (DLC) 2013443167 |w (OCoLC)805052853 |
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author | Sagaut, Pierre, 1967- Deck, Sebastien Terracol, Marc |
author_GND | http://id.loc.gov/authorities/names/n00014670 http://id.loc.gov/authorities/names/nb2006020295 |
author_corporate | World Scientific (Firm) |
author_corporate_role | |
author_facet | Sagaut, Pierre, 1967- Deck, Sebastien Terracol, Marc World Scientific (Firm) |
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author_sort | Sagaut, Pierre, 1967- |
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callnumber-label | TA357 |
callnumber-raw | TA357.5.T87 S24 2013eb |
callnumber-search | TA357.5.T87 S24 2013eb |
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callnumber-subject | TA - General and Civil Engineering |
collection | ZDB-4-EBA |
contents | 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. |
ctrlnum | (OCoLC)844311107 |
dewey-full | 532.0527 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 532 - Fluid mechanics |
dewey-raw | 532.0527 |
dewey-search | 532.0527 |
dewey-sort | 3532.0527 |
dewey-tens | 530 - Physics |
discipline | Physik |
edition | 2nd edition. |
format | Electronic eBook |
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id | ZDB-4-EBA-ocn844311107 |
illustrated | Illustrated |
indexdate | 2024-11-27T13:25:21Z |
institution | BVB |
institution_GND | http://id.loc.gov/authorities/names/no2001005546 |
isbn | 9781848169876 1848169876 |
language | English |
lccn | 2013443167 |
oclc_num | 844311107 |
open_access_boolean | |
owner | MAIN DE-863 DE-BY-FWS |
owner_facet | MAIN DE-863 DE-BY-FWS |
physical | 1 online resource (xviii, 427 pages) : illustrations (some color) |
psigel | ZDB-4-EBA |
publishDate | 2013 |
publishDateSearch | 2013 |
publishDateSort | 2013 |
publisher | Imperial College Press ; Distributed by World Scientific Pub. Co., |
record_format | marc |
spelling | Sagaut, Pierre, 1967- author. https://id.oclc.org/worldcat/entity/E39PBJvHd64qBhhxVMykqRMkjC http://id.loc.gov/authorities/names/n00014670 Multiscale and multiresolution approaches in turbulence : LES, DES and hybrid RANS/LES methods : applications and guidelines / Pierre Sagaut, Sébastien Deck, Marc Terracol. 2nd edition. London : Imperial College Press ; Singapore : Distributed by World Scientific Pub. Co., ©2013. 1 online resource (xviii, 427 pages) : illustrations (some color) text txt rdacontent computer c rdamedia online resource cr rdacarrier data file rda Bibliography Includes bibliographical references (pages 397-423) and index. 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. 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. Turbulence Mathematical models. Turbulence Modèles mathématiques. SCIENCE Mechanics Fluids. bisacsh Turbulence Mathematical models fast Deck, Sebastien, author. https://id.oclc.org/worldcat/entity/E39PBJyGYCVfMVTTvrfXY7wwG3 http://id.loc.gov/authorities/names/nb2006020295 Terracol, Marc, author. World Scientific (Firm) http://id.loc.gov/authorities/names/no2001005546 has work: Multiscale and multiresolution approaches in turbulence (Text) https://id.oclc.org/worldcat/entity/E39PCGmVtMfVVg8Y8mQkH8drtq https://id.oclc.org/worldcat/ontology/hasWork Print version: Sagaut, Pierre, 1967- Multiscale and multiresolution approaches in turbulence. 2nd edition. London : Imperial College Press, [2013] 9781848169869 (DLC) 2013443167 (OCoLC)805052853 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=575423 Volltext |
spellingShingle | Sagaut, Pierre, 1967- Deck, Sebastien Terracol, Marc Multiscale and multiresolution approaches in turbulence : LES, DES and hybrid RANS/LES methods : applications and guidelines / 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. Turbulence Mathematical models. Turbulence Modèles mathématiques. SCIENCE Mechanics Fluids. bisacsh Turbulence Mathematical models fast |
title | Multiscale and multiresolution approaches in turbulence : LES, DES and hybrid RANS/LES methods : applications and guidelines / |
title_auth | Multiscale and multiresolution approaches in turbulence : LES, DES and hybrid RANS/LES methods : applications and guidelines / |
title_exact_search | Multiscale and multiresolution approaches in turbulence : LES, DES and hybrid RANS/LES methods : applications and guidelines / |
title_full | Multiscale and multiresolution approaches in turbulence : LES, DES and hybrid RANS/LES methods : applications and guidelines / Pierre Sagaut, Sébastien Deck, Marc Terracol. |
title_fullStr | Multiscale and multiresolution approaches in turbulence : LES, DES and hybrid RANS/LES methods : applications and guidelines / Pierre Sagaut, Sébastien Deck, Marc Terracol. |
title_full_unstemmed | Multiscale and multiresolution approaches in turbulence : LES, DES and hybrid RANS/LES methods : applications and guidelines / Pierre Sagaut, Sébastien Deck, Marc Terracol. |
title_short | Multiscale and multiresolution approaches in turbulence : |
title_sort | multiscale and multiresolution approaches in turbulence les des and hybrid rans les methods applications and guidelines |
title_sub | LES, DES and hybrid RANS/LES methods : applications and guidelines / |
topic | Turbulence Mathematical models. Turbulence Modèles mathématiques. SCIENCE Mechanics Fluids. bisacsh Turbulence Mathematical models fast |
topic_facet | Turbulence Mathematical models. Turbulence Modèles mathématiques. SCIENCE Mechanics Fluids. Turbulence Mathematical models |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=575423 |
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