Annabelle Collin
French Institute for Research in Computer Science and Automation
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Annabelle Collin.
Computer Aided Geometric Design | 2016
Annabelle Collin; Giancarlo Sangalli; Thomas Takacs
One key feature of isogeometric analysis is that it allows smooth shape functions. Indeed, when isogeometric spaces are constructed from p-degree splines (and extensions, such as NURBS), they enjoy up to C p - 1 continuity within each patch. However, global continuity beyond C 0 on so-called multi-patch geometries poses some significant difficulties. In this work, we consider planar multi-patch domains that have a parametrization which is only C 0 at the patch interface. On such domains we study the h-refinement of C 1 -continuous isogeometric spaces. These spaces in general do not have optimal approximation properties. The reason is that the C 1 -continuity condition easily over-constrains the solution which is, in the worst cases, fully locked to linears at the patch interface. However, recently (Kapl et al., 2015b) has given numerical evidence that optimal convergence occurs for bilinear two-patch geometries and cubic (or higher degree) C 1 splines. This is the starting point of our study. We introduce the class of analysis-suitable G 1 geometry parametrizations, which includes piecewise bilinear parametrizations. We then analyze the structure of C 1 isogeometric spaces over analysis-suitable G 1 parametrizations and, by theoretical results and numerical testing, discuss their approximation properties. We also consider examples of geometry parametrizations that are not analysis-suitable, showing that in this case optimal convergence of C 1 isogeometric spaces is prevented. We study h-refinement for C 1 continuous isogeometric spaces over multi-patch domains.We introduce analysis-suitable G 1 (AS G 1 ) geometry parametrizations.AS G 1 parametrizations allow optimal approximation properties.For non-AS G 1 geometries the solution may be locked and convergence is prevented.
Mathematical Models and Methods in Applied Sciences | 2013
Dominique Chapelle; Annabelle Collin; Jean-Frédéric Gerbeau
Computational electrophysiology is a very active field with tremendous potential in medical applications, albeit it leads to highly intensive simulations. We here propose a surface-based electrophysiology formulation, motivated by the modeling of thin structures such as cardiac atria, which greatly reduces the size of the computational models. Moreover, our model is specifically devised to retain the key features associated with the anisotropy in the diffusion effects induced by the fiber architecture, with rapid variations across the thickness that cannot be adequately represented by naive averaging strategies. Our proposed model relies on a detailed asymptotic analysis in which we identify a limit model and establish strong convergence results. We also provide detailed numerical assessments that confirm an excellent accuracy of the surface-based model – compared with the reference 3D model – including in the representation of a complex phenomenon, namely, spiral waves.
international conference on functional imaging and modeling of heart | 2013
Annabelle Collin; Jean-Frédéric Gerbeau; Mélèze Hocini; Michel Haïssaguerre; Dominique Chapelle
The objective of this paper is to assess a previously-proposed surface-based electrophysiology model with detailed atrial simulations. This model --- derived and substantiated by mathematical arguments --- is specifically designed to address thin structures such as atria, and to take into account strong anisotropy effects related to fiber directions with possibly rapid variations across the wall thickness. The simulation results are in excellent adequacy with previous studies, and confirm the importance of anisotropy effects and variations thereof. Furthermore, this surface-based model provides dramatic computational benefits over 3D models with preserved accuracy.
international conference on functional imaging and modeling of heart | 2015
Annabelle Collin; Dominique Chapelle; Philippe Moireau
We propose a new sequential estimation method for making an electrophysiology model patient-specific, with data in the form of level sets of the electrical potential. Our method incorporates a novel correction term based on topological gradients, in order to track solutions of complex patterns. Our assessments demonstrate the effectiveness of this approach, including in a realistic case of atrial fibrillation.
International Journal for Numerical Methods in Biomedical Engineering | 2016
Elisa Schenone; Annabelle Collin; Jean-Frédéric Gerbeau
arXiv: Numerical Analysis | 2015
Annabelle Collin; Giancarlo Sangalli; Thomas Takacs
Journal of Computational Physics | 2015
Annabelle Collin; Dominique Chapelle; Philippe Moireau
Journal of Elasticity | 2014
Dominique Chapelle; Annabelle Collin
Esaim: Proceedings | 2018
Mélanie C. Rochoux; Annabelle Collin; Cong Zhang; Arnaud Trouvé; Didier Lucor; Philippe Moireau
Archive | 2014
Annabelle Collin
Collaboration
Dive into the Annabelle Collin's collaboration.
French Institute for Research in Computer Science and Automation
View shared research outputs