Morphing techniques for model order reduction with non parametric geometrical variabilities
Résumé
In this work, we study the construction of reduced order basis in the presence of non parametric geometrical variabilities. We present a new morphing algorithm that is adapted to the task of model order reduction. This is done by finding the morphing optimally in the sense that the relative energy contained in an arbitrary number of eigenvalues of the correlation matrix is maximal. In addition, the morphing could be integrated in non intrusive model order reduction techniques.
Domaines
Sciences de l'ingénieur [physics]| Origine | Fichiers produits par l'(les) auteur(s) |
|---|