Tenkes, Mme Lucille-Marie (2018) Optimisation de maillage améliorée pour la simulation en mécanique des fluides PFE - Project Graduation, ENSTA.
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Anisotropic mesh adaptation has proven to improve the results of numerical si- mulations. So-called metric fields offer a strong mathematical framework to elaborate automatic mesh generation methods. Yet resulting meshes have to undergo an optimization process before being used in computations. This report focuses on improving those mesh optimization methods. First, it deals with parallel mesh smoothing, showing two ways of parallelizing the smoothing step in a determinstic way. Tests reveal that one of the methods is too slow, but the other has proven efficient to smooth 2D and 3D meshes in reasonable time. Then, metric-align methods are studied. Algorithms are proposed to improve mesh optimization tools according to metric-align particularities, and a method to form quad-dominant meshes from metric-aligned meshes is shown.
|Item Type:||Thesis (PFE - Project Graduation)|
|Subjects:||Mathematics and Applications|
|Deposited By:||Lucille-Marie Tenkes|
|Deposited On:||10 avr. 2019 16:05|
|Dernière modification:||10 avr. 2019 16:05|
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