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Computational mechanics of interfaces
Bordas, Stéphane
2016
 

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Keywords :
interfaces; xfem; meshfree; IGA; multi-scale; a posteriori error estimation
Abstract :
[en] The course will present an overview of recent developments, which will enable students to make informed choices in terms of discretization and model selection in solving numerical problems in mechanics. We will cover discretization strategies ranging from the standard finite element method, the smoothed finite element method, the extended finite element method, polygonal and virtual element methods, meshfree methods. The applications range between fracture of heterogeneous materials and biomedical simulations. The intended learning outcomes of the course are such that the students will be: - able to critically assess discretization schemes in mechanics - able to implement simple error estimators for finite element methods - familiar with basic multi-scale methods for fracture and their limitations - able to follow basic literature in model error and model selection, in particular based on Bayesian inference Course participants will learn these topics through lectures and hands-on numerical experiments.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Bordas, Stéphane ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Language :
English
Title :
Computational mechanics of interfaces
Publication date :
22 May 2016
Number of pages :
276
Event name :
GIAN Course in Multiscale Analysis
Event organizer :
IIT Madras
Event place :
Madras/Chennai, India
Event date :
May 22-June 03
Audience :
International
Focus Area :
Computational Sciences
European Projects :
FP7 - 279578 - REALTCUT - Towards real time multiscale simulation of cutting in non-linear materials with applications to surgical simulation and computer guided surgery
FnR Project :
FNR8813215 - Computational Biomechanics For Medicine: Beyond The Frontiers Of Mechanics, 2014 (01/03/2015-28/02/2017) - Stéphane Bordas
Name of the research project :
GIAN
Funders :
Government of India
CE - Commission Européenne [BE]
Available on ORBilu :
since 13 July 2016

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