Mesh adaptation for computational fluid dynamics: 1: continuous Riemannian metrics and feature-based adaptation
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...
Gespeichert in:
| Beteiligte Personen: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
London Hoboken, NJ
ISTE Ltd
2022
London Hoboken, NJ John Wiley & Sons, Inc. 2022 |
| Schriftenreihe: | Numerical methods in engineering series
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781786308313/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | Includes bibliographical references and index. - Online resource; title from digital title page (viewed on September 15, 2022) |
| Umfang: | 1 Online-Ressource illustrations |
| ISBN: | 9781394163991 1394163991 9781394163977 1394163975 9781786308313 |
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| spelling | Dervieux, Alain VerfasserIn aut Mesh adaptation for computational fluid dynamics 1: continuous Riemannian metrics and feature-based adaptation Alain Dervieux, Frédéric Alauzet, Adrien Loseille, Bruno Koobus London Hoboken, NJ ISTE Ltd 2022 London Hoboken, NJ John Wiley & Sons, Inc. 2022 ©2022 1 Online-Ressource illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Numerical methods in engineering series Includes bibliographical references and index. - Online resource; title from digital title page (viewed on September 15, 2022) 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. Computational fluid dynamics Dynamique des fluides numérique Alauzet, Frédéric VerfasserIn aut Loseille, Adrien VerfasserIn aut Koobus, Bruno VerfasserIn aut 1786308312 Erscheint auch als Druck-Ausgabe 1786308312 |
| spellingShingle | Dervieux, Alain Alauzet, Frédéric Loseille, Adrien Koobus, Bruno Mesh adaptation for computational fluid dynamics 1: continuous Riemannian metrics and feature-based adaptation Computational fluid dynamics Dynamique des fluides numérique |
| title | Mesh adaptation for computational fluid dynamics 1: continuous Riemannian metrics and feature-based adaptation |
| title_auth | Mesh adaptation for computational fluid dynamics 1: continuous Riemannian metrics and feature-based adaptation |
| title_exact_search | Mesh adaptation for computational fluid dynamics 1: continuous Riemannian metrics and feature-based adaptation |
| title_full | Mesh adaptation for computational fluid dynamics 1: continuous Riemannian metrics and feature-based adaptation Alain Dervieux, Frédéric Alauzet, Adrien Loseille, Bruno Koobus |
| title_fullStr | Mesh adaptation for computational fluid dynamics 1: continuous Riemannian metrics and feature-based adaptation Alain Dervieux, Frédéric Alauzet, Adrien Loseille, Bruno Koobus |
| title_full_unstemmed | Mesh adaptation for computational fluid dynamics 1: continuous Riemannian metrics and feature-based adaptation Alain Dervieux, Frédéric Alauzet, Adrien Loseille, Bruno Koobus |
| title_short | Mesh adaptation for computational fluid dynamics |
| title_sort | mesh adaptation for computational fluid dynamics 1 continuous riemannian metrics and feature based adaptation |
| title_sub | 1: continuous Riemannian metrics and feature-based adaptation |
| topic | Computational fluid dynamics Dynamique des fluides numérique |
| topic_facet | Computational fluid dynamics Dynamique des fluides numérique |
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