Preface "In aircraft design, efficiency is determined by the ability to accurately and rel- bly predict the occurrence of, and to model the development of, turbulent flows. Hence, the main objective in industrial computational fluid dynamics (CFD) is to increase the capabilities for an improved predictive accuracy for both complex flows and complex geometries". This text part taken from Haase et al (2006), - scribing the results of the DESider predecessor project "FLOMANIA" is still - and will be in future valid. With an ever-increasing demand for faster, more reliable and cleaner aircraft, flight envelopes are necessarily shifted into areas of the flow regimes exhibiting highly unsteady and, for military aircraft, unstable flow behaviour. This undou- edly poses major new challenges in CFD; generally stated as an increased pred- tive accuracy whist retaining "affordable" computation times. Together with highly resolved meshes employing millions of nodes, numerical methods must have the inherent capability to predict unsteady flows. Although at present, (U)RANS methods are likely to remain as the workhorses in industry, the DESider project focussed on the development and combination of these approaches with LES methods in order to "bridge" the gap between the much more expensive (due to high Reynolds numbers in flight), but more accurate (full) LES.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
The present volume contains results gained from the EU-funded 6th Framework project, DESider (Detached Eddy Simulation for Industrial Aerodynamics). 18 European organisations from industry, research and universities, have collaborated on topics centred around the improvement of hybrid RANS-LES methods, the investigation and validation of these methods in respect of a variety of aerodynamic, aeroelastic and aeroacoustic test cases - including novel URANS methods and the new SAS turbulence modelling strategy. The book presents an introduction to the project, exhibits partners' methods and approaches, and provides comprehensive reports (i.e. definition as well as results) of all applications treated in the project.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the most up-to-date research on Hybrid RANS-LES modelling in aeronauticsPreface In aircraft design, efficiency is determined by the ability to accurately and rel- bly predict the occurrence of, and to model the development of, turbu. N° de réf. du vendeur 458683184
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Preface 'In aircraft design, efficiency is determined by the ability to accurately and rel- bly predict the occurrence of, and to model the development of, turbulent flows. Hence, the main objective in industrial computational fluid dynamics (CFD) is to increase the capabilities for an improved predictive accuracy for both complex flows and complex geometries'. This text part taken from Haase et al (2006), - scribing the results of the DESider predecessor project 'FLOMANIA' is still - and will be in future valid. With an ever-increasing demand for faster, more reliable and cleaner aircraft, flight envelopes are necessarily shifted into areas of the flow regimes exhibiting highly unsteady and, for military aircraft, unstable flow behaviour. This undou- edly poses major new challenges in CFD; generally stated as an increased pred- tive accuracy whist retaining 'affordable' computation times. Together with highly resolved meshes employing millions of nodes, numerical methods must have the inherent capability to predict unsteady flows. Although at present, (U)RANS methods are likely to remain as the workhorses in industry, the DESider project focussed on the development and combination of these approaches with LES methods in order to 'bridge' the gap between the much more expensive (due to high Reynolds numbers in flight), but more accurate (full) LES. 456 pp. Englisch. N° de réf. du vendeur 9783540927723
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 452 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar. N° de réf. du vendeur 5214759/12
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Preface 'In aircraft design, efficiency is determined by the ability to accurately and rel- bly predict the occurrence of, and to model the development of, turbulent flows. Hence, the main objective in industrial computational fluid dynamics (CFD) is to increase the capabilities for an improved predictive accuracy for both complex flows and complex geometries'. This text part taken from Haase et al (2006), - scribing the results of the DESider predecessor project 'FLOMANIA' is still - and will be in future valid. With an ever-increasing demand for faster, more reliable and cleaner aircraft, flight envelopes are necessarily shifted into areas of the flow regimes exhibiting highly unsteady and, for military aircraft, unstable flow behaviour. This undou- edly poses major new challenges in CFD; generally stated as an increased pred- tive accuracy whist retaining 'affordable' computation times. Together with highly resolved meshes employing millions of nodes, numerical methods must have the inherent capability to predict unsteady flows. Although at present, (U)RANS methods are likely to remain as the workhorses in industry, the DESider project focussed on the development and combination of these approaches with LES methods in order to 'bridge' the gap between the much more expensive (due to high Reynolds numbers in flight), but more accurate (full) LES. N° de réf. du vendeur 9783540927723
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Hardcover. Etat : Brand New. 1st edition. 454 pages. 9.25x6.25x1.00 inches. In Stock. N° de réf. du vendeur x-3540927727
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