Reduction Strategies for Shape Dependent Inverse Problems in Haemodynamics - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

Reduction Strategies for Shape Dependent Inverse Problems in Haemodynamics

Toni Lassila
  • Fonction : Auteur
  • PersonId : 986429
Andrea Manzoni
  • Fonction : Auteur
  • PersonId : 986430
Gianluigi Rozza
  • Fonction : Auteur
  • PersonId : 986431

Résumé

This work deals with the development and application of reduction strategies for real-time and many query problems arising in fluid dynamics, such as shape optimization, shape registration (reconstruction), and shape parametrization. The proposed strategy is based on the coupling between reduced basis methods for the reduction of computational complexity and suitable shape parametrizations – such as free-form deformations or radial basis functions – for low-dimensional geometrical description. Our focus is on problems arising in haemodynamics: efficient shape parametrization of cardiovascular geometries (e.g. bypass grafts, carotid artery bifurcation, stenosed artery sections) for the rapid blood flow simulation – and related output evaluation – in domains of variable shape (e.g. vessels in presence of growing stenosis) provide an example of a class of problems which can be recast in the real-time or in the many-query context.
Fichier principal
Vignette du fichier
978-3-642-36062-6_40_Chapter.pdf (4 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01347561 , version 1 (21-07-2016)

Licence

Paternité

Identifiants

Citer

Toni Lassila, Andrea Manzoni, Gianluigi Rozza. Reduction Strategies for Shape Dependent Inverse Problems in Haemodynamics. 25th System Modeling and Optimization (CSMO), Sep 2011, Berlin, Germany. pp.397-406, ⟨10.1007/978-3-642-36062-6_40⟩. ⟨hal-01347561⟩
48 Consultations
48 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More