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Record Nr. |
UNINA9910831035203321 |
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Autore |
Dervieux Alain |
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Titolo |
Mesh adaptation for computational fluid dynamics 1 : continuous riemannian metrics and feature-based adaptation / / Alain Dervieux [and three others] |
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Pubbl/distr/stampa |
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Hoboken, New Jersey : , : John Wiley and Sons Inc, , [2022] |
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©2022 |
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ISBN |
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1-394-16399-1 |
1-394-16397-5 |
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Descrizione fisica |
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1 online resource (256 pages) |
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Collana |
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Numerical methods in engineering series |
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Disciplina |
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Soggetti |
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Computational fluid dynamics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Front Matter -- CFD Numerical Models -- Mesh Convergence and Barriers -- Mesh Representation -- Geometric Error Estimate -- Multiscale Adaptation for Steady Simulations -- Multiscale Convergence and Certification in CFD -- References -- Index -- Summary of Volume 2 -- Other titles from iSTE in Numerical Methods in Engineering |
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Sommario/riassunto |
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Simulation technology, and computational fluid dynamics (CFD) in particular, is essential in the search for solutions to the modern challenges faced by humanity. Revolutions in CFD over the last decade include the use of unstructured meshes, permitting the modeling of any 3D geometry. New frontiers point to mesh adaptation, allowing not only seamless meshing (for the engineer) but also simulation certification for safer products and risk prediction. Mesh Adaptation for Computational Dynamics 1 is the first of two volumes and introduces basic methods such as feature-based and multiscale adaptation for steady models. Also covered is the continuous Riemannian metrics formulation which models the optimally adapted mesh problem into a pure partial differential statement. A number of mesh adaptative methods are defined based on a particular feature of the simulation solution. This book will be useful to anybody interested in mesh adaptation pertaining to CFD, especially researchers, teachers and students. |
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