Book of abstracts - 14th WCCM & ECCOMAS Congress 2020
Ouvrage scientifique
Auteur
CHINESTA SORIA, FranciscoABGRALL, RémiALLIX, OlivierNÉRON, DavidKALISKE, MichaelRésumé
No abstract
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Manifold learning for coherent design interpolation based on geometrical and topological descriptors Article dans une revue avec comité de lectureMUNOZ, David; ALLIX, Olivier; CHINESTA SORIA, Francisco; RÓDENAS, Juan José (2023)
In the context of intellectual property in the manufacturing industry, know-how is referred to practical knowledge on how to accomplish a specific task. This know-how is often difficult to be synthesised in a set of rules ...
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Article dans une revue avec comité de lectureMUNOZ, David; TORREGROSA JORDAN, Sergio; ; CHINESTA SORIA, Francisco (Elsevier BV, 2024-01)
The Proper Generalized Decomposition (PGD) is a Model Order Reduction framework that has been proposed to be able to do parametric analysis of physical problems. These parameters may include material properties, boundary ...
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Article dans une revue avec comité de lecture; ; ; ; ; ;CHINESTA SORIA, Francisco (Taylor & Francis, 2019)
The main objective of this study is to combine the statistical shape analysis with a morphing procedure in order to generate shape-parametric finite element models of tissues and organs and to explore the reliability and ...
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Article dans une revue avec comité de lecture; ; ; ; ; ;CHINESTA SORIA, Francisco (Elsevier, 2019)
Background and objective: This paper focuses on computer simulation aspects of Digital Twin models in the medical framework. In particular, it addresses the need of fast and accurate simulators for the mechanical response ...
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Article dans une revue avec comité de lecture; ;ABISSET-CHAVANNE, Emmanuelle; CHINESTA SORIA, Francisco (Springer Verlag, 2018)
Parametric solutions make possible fast and reliable real-time simulations which, in turn allow real time optimization, simulation-based control and uncertainty propagation. This opens unprecedented possibilities for robust ...