2016
DOI: 10.1016/j.ijsolstr.2016.10.003
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A variational formulation of dissipative quasicontinuum methods

Abstract: Lattice systems and discrete networks with dissipative interactions are successfully employed as meso-scale models of heterogeneous solids. As the application scale generally is much larger than that of the discrete links, physically relevant simulations are computationally expensive. The QuasiContinuum (QC) method is a multiscale approach that reduces the computational cost of direct numerical simulations by fully resolving complex phenomena only in regions of interest while coarsening elsewhere. In previous … Show more

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Cited by 18 publications
(18 citation statements)
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“…This may be considered reasonable because right-angled triangles lead to significantly smaller summation errors, cf. [18], and because these triangles also naturally avoid artificial deformations in transition regions that would lead to spurious mesh refinements and non-physical evolution of internal variables. For the refinement, the standard Rivara [45] algorithm conserving non-degeneracy, conformity, and smoothness, is used for each marked element (K ∈ I).…”
Section: : Endmentioning
confidence: 99%
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“…This may be considered reasonable because right-angled triangles lead to significantly smaller summation errors, cf. [18], and because these triangles also naturally avoid artificial deformations in transition regions that would lead to spurious mesh refinements and non-physical evolution of internal variables. For the refinement, the standard Rivara [45] algorithm conserving non-degeneracy, conformity, and smoothness, is used for each marked element (K ∈ I).…”
Section: : Endmentioning
confidence: 99%
“…where π k red,α denotes the reduced incremental site energy with condensed internal variables in analogy to Π k red defined in (18)…”
Section: Appendix B Explicit Forms Of Gradients and Hessiansmentioning
confidence: 99%
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“…For the sake of brevity, we limit ourselves to the time-discrete setting; the general theory is discussed in Mielke and Roubíček (2015), whereas applications to continuous systems can be found, e.g., in Mühlhaus and Aifantis (1991); Han and Reddy (1995); Bourdin et al (2000); Mielke et al (2002); Mielke (2003); Bourdin (2007); Bourdin et al (2008); Burke et al (2010); Pham et al (2011);Hofacker and Miehe (2012); Jirásek and Zeman (2015); Mesgarnejad et al (2015). Applications to lattice networks and QC are presented in Rokoš et al (2016Rokoš et al ( , 2017 for isotropic hardening plasticity and localized damage, respectively.…”
Section: Variational Formulation Of Lattice Network With Localized Dmentioning
confidence: 99%
“…In last few years, a variational formulation of dissipative QC method has been done by Rokoš at al. [25], a goal-oriented adaptive version of QC algorithm has been introduced in [26] or a meshless QC method has been developed by Kochmann research group [27]. But the application of all mentioned QC methods is still restricted only to systems with regular geometry of particles.…”
Section: Introductionmentioning
confidence: 99%