Article (Scientific journals)
A multiscale quasicontinuum method for dissipative lattice models and discrete networks
Beex, Lars; Peerlings, Ron; Geers, Marc
2014In Journal of the Mechanics and Physics of Solids, 64, p. 154-169
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Keywords :
Multiscale; Quasicontinuum method; Lattice model; Virtual-power; Dissipation
Abstract :
[en] Lattice models and discrete networks naturally describe mechanical phenomena at the mesoscale of fibrous materials. A disadvantage of lattice models is their computational cost. The quasicontinuum (QC) method is a suitable multiscale approach that reduces the computational cost of lattice models and allows the incorporation of local lattice defects in large-scale problems. So far, all QC methods are formulated for conservative (mostly atomistic) lattice models. Lattice models of fibrous materials however, often require non-conservative interactions. In this paper, a QC formulation is derived based on the virtual-power of a non-conservative lattice model. By using the virtual-power statement instead of force-equilibrium, errors in the governing equations of the force-based QC formulations are avoided. Nevertheless, the non-conservative interaction forces can still be directly inserted in the virtual-power QC framework. The summation rules for energy-based QC methods can still be used in the proposed framework as shown by two multiscale examples.
Disciplines :
Materials science & engineering
Author, co-author :
Beex, Lars ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Peerlings, Ron;  Eindhoven University of Technology > Mechanical Engineering > Associate Professor
Geers, Marc;  Eindhoven University of Technology > Mechanical Engineering > Professor
Language :
English
Title :
A multiscale quasicontinuum method for dissipative lattice models and discrete networks
Publication date :
March 2014
Journal title :
Journal of the Mechanics and Physics of Solids
ISSN :
0022-5096
Publisher :
Pergamon Press - An Imprint of Elsevier Science, Oxford, United Kingdom
Volume :
64
Pages :
154-169
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Computational Sciences
Available on ORBilu :
since 17 July 2014

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