Bridging proper orthogonal decomposition methods and augmented Newton-Krylov algorithms: An adaptive model order reduction for highly nonlinear mechanical problems
Kerfriden, P.; Gosselet, P.; Adhikari, S.et al.
2011 • In Computer Methods in Applied Mechanics and Engineering, 200 (5-8), p. 850-866
Kerfriden, P.; Cardiff University, Queen's Buildings, The Parade, Cardiff CF24 3AA, Wales, United Kingdom
Gosselet, P.; Ecole Normale Superieure de Cachan, 61 Avenue du Président Wilson, F-94230 Cachan, France
Adhikari, S.; Swansea University, Singleton Park, Swansea SA2 8PP, Wales, United Kingdom
Bordas, Stéphane ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Language :
English
Title :
Bridging proper orthogonal decomposition methods and augmented Newton-Krylov algorithms: An adaptive model order reduction for highly nonlinear mechanical problems
Publication date :
2011
Journal title :
Computer Methods in Applied Mechanics and Engineering
ISSN :
0045-7825
Volume :
200
Issue :
5-8
Pages :
850-866
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Name of the research project :
Towards the next generation surgical simulators
Funders :
Royal Academy of Engineering and Leverhulme Trust Senior Research Fellowship