Reference : A multiscale quasicontinuum method for lattice models with bond failure and fiber sliding
Scientific journals : Article
Engineering, computing & technology : Materials science & engineering
Computational Sciences
http://hdl.handle.net/10993/17423
A multiscale quasicontinuum method for lattice models with bond failure and fiber sliding
English
Beex, Lars mailto [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]
1-Feb-2014
Computer Methods in Applied Mechanics & Engineering
269
108-122
Yes (verified by ORBilu)
International
0045-7825
[en] Lattice model ; Bond failure ; Quasicontinuum method ; Multiscale ; Fiber ; Friction
[en] Structural lattice models incorporating trusses and beams are frequently used to mechanically model fibrous materials, because they can capture (local) mesoscale phenomena. Physically relevant lattice computations are however computationally expensive. A suitable multiscale approach to reduce the computational cost of large-scale lattice computations is the quasicontinuum (QC) method. This method resolves local mesoscale phenomena in regions of interest and coarse grains elsewhere, using only the lattice model. In previous work, a virtual-power-based QC framework is proposed for lattice models that include local dissipative mechanisms. In this paper, the virtual-power-based QC method is adopted for lattice models in which bond failure and subsequent frictional fiber sliding are incorporated – which are of significant importance for fibrous materials such as paper, cardboard, textile and electronic textile. Bond failure and fiber sliding are nonlocal dissipative mechanisms and to deal with this nonlocality, the virtual-power-based QC method is equipped with a mixed formulation in which the kinematic variables as well as the internal history variables are interpolated. Previously defined summation rules can still be used to sample the governing equations in this QC framework. Illustrative examples are presented.
Researchers
http://hdl.handle.net/10993/17423
10.1016/j.cma.2013.10.027
http://www.sciencedirect.com/science/article/pii/S004578251300279X

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