Mesh Adaptation for Computational Fluid Dynamics, Volume 1 Continuous Riemannian Metrics and Feature-based Adaptation
by Dervieux, Alain; Alauzet, Frederic; Loseille, Adrien; Koobus, BrunoBuy New
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Summary
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.
Author Biography
Frederic Alauzet is a senior researcher at Inria Saclay and adjunct professor at Mississippi State University. His research focuses on anisotropic mesh adaptation, advanced solvers, mesh generation and moving mesh methods.
Adrien Loseille is a research scientist at Inria Saclay, working in Luminary Cloud. His main domains of interest are unstructured mesh generation and adaptation for computational fluid dynamics.
Bruno Koobus is professor at the University of Montpellier. His main research interests cover computational fluid dynamics, in particular the development of numerical methods on fixed and moving meshes, turbulence modeling and parallel algorithms.
Table of Contents
2. Mesh Convergence and Barriers.
3. Mesh Representation.
4. Geometric Error Estimate.
5. Multiscale Adaptation for Steady Simulations.
6. Multiscale Convergence and Certification in CFD.
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