Doctoral thesis (Dissertations and theses)
A posteriori error estimation for finite element approximations of fractional Laplacian problems and applications to poro–elasticity
BULLE, Raphaël
2022
 

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Abstract :
[en] This manuscript is concerned with a posteriori error estimation for the finite element discretization of standard and fractional partial differential equations as well as an application of fractional calculus to the modeling of the human meniscus by poro-elasticity equations. In the introduction, we give an overview of the literature of a posteriori error estimation in finite element methods and of adaptive refine- ment methods. We emphasize the state–of–the–art of the Bank–Weiser a posteriori error estimation method and of the adaptive refinement methods convergence results. Then, we move to fractional partial differential equations. We give some of the most common discretization methods of fractional Laplacian operator based equations. We review some results of a priori error estimation for the finite element discretization of these equations and give the state–of–the–art of a posteriori error estimation. Finally, we review the literature on the use of the Caputo’s fractional derivative in applications, focusing on anomalous diffusion and poro-elasticity applications. The rest of the manuscript is organized as follow. Chapter 1 is concerned with a proof of the reliability of the Bank–Weiser estimator for three–dimensional problems, extending a result from the literature. In Chapter 2 we present a numerical study of the Bank–Weiser estimator, provide a novel implementation of the estimator in the FEniCS finite element software and apply it to a variety of elliptic equations as well as goal-oriented error estimation. In Chapter 3 we derive a novel a posteriori estimator for the L2 error induced by the finite element discretization of fractional Laplacian operator based equations. In Chapter 4 we present new theoretical results on the convergence of a rational approximation method with consequences on the approximation of fractional norms as well as a priori error estimation results for the finite element discretization of fractional equations. Finally, in Chapter 5 we provide an application of fractional calculus to the study of the human meniscus via poro-elasticity equations.
[fr] Ce manuscrit traite d’estimation d’erreur a posteriori pour la discrétisation d’équations aux dérivées partielles standard et fractionnaires par les méthodes éléments finis ainsi que de l’application de l’analyse fractionnaire à la modélisation du ménisque humain par les équations de poro-élasticité. Dans l’introduction, nous donnons un aperçu de la littérature sur l’estimation d’erreur a posteriori pour les méth- odes éléments finis et des méthodes de raffinement adaptatif. Nous insistons particulièrement sur l’état de l’art de la méthode d’estimation d’erreur a posteriori de Bank-Weiser et sur les résultats de convergence des méthodes adaptatives. Ensuite, nous nous intéressons aux équations aux dérivées partielles fractionnaires. Nous présentons certaines méthodes de discrétisation d’équations basées sur l’opérateur Laplacien fractionnaire et donnons l’état de l’art sur l’estimation d’erreur a posteriori. Finalement, nous donnons un aperçu de la littérature concernant les applications de la dérivée fractionnaire au sens de Caputo en nous concentrant sur le phénomène de diffusion anormale et les applications en poro-élasticité.
Disciplines :
Mathematics
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
BULLE, Raphaël ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
Language :
English
Title :
A posteriori error estimation for finite element approximations of fractional Laplacian problems and applications to poro–elasticity
Alternative titles :
[fr] Estimation d’erreur a posteriori pour l’approximation de problèmes Laplaciens fractionnaires et applications en poro-élasticité
Defense date :
25 March 2022
Number of pages :
136
Institution :
Unilu - University of Luxembourg, Esch-sur-Alzette, Luxembourg
«X» - Ecole Polytechnique, France, France
Degree :
Docteur en Sciences de l'Ingénieur
Promotor :
BORDAS, Stéphane 
Chouly, Franz
HALE, Jack  
Lozinski, Alexei
President :
Jury member :
Bonito, Andrea
Vohralík, Martin
Becker, Roland
Focus Area :
Computational Sciences
Name of the research project :
ASSIST
Funders :
University of Luxembourg - UL
Commentary :
This thesis was also submitted to obtain the degree of Docteur de l’Université de Bourgogne Franche–Comté en Mathématiques.
Available on ORBilu :
since 03 May 2022

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