2019
DOI: 10.1016/j.engfracmech.2019.106599
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Adaptive phase field method for quasi-static brittle fracture using a recovery based error indicator and quadtree decomposition

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Cited by 57 publications
(9 citation statements)
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“…By extracting the normal velocity field v Φ through the sensitivity analysis in (111), we are now able to solve Formulation (3.1), and thus update the topology of structure. Remark 3.2.…”
Section: Sensitivity Analysismentioning
confidence: 99%
“…By extracting the normal velocity field v Φ through the sensitivity analysis in (111), we are now able to solve Formulation (3.1), and thus update the topology of structure. Remark 3.2.…”
Section: Sensitivity Analysismentioning
confidence: 99%
“…Note that the variational inequality ( 10) is modified to the variational equality (11) and hence theoretically, it is not the same problem. Still, results obtained by employing the history field show great resemblance to the results obtained by the optimization approach.…”
Section: Crack Irreversibilitymentioning
confidence: 99%
“…In [10] a remeshing is driven by deformation energy density. Adaptive remeshing was used in [11], where refinement was driven with recovery type indicator. Adaptivity for the problems of ductile fracture was presented in [12] and adaptivity for thermally induced fracture in [13].…”
Section: Introductionmentioning
confidence: 99%
“…An alternative is to use adaptive refinement algorithms based on error indicators. Several strategies have been proposed [34][35][36][37][38][39], being most of them based on post-error estimation such as goal-oriented, recovery, and residual. For example, Areias et al [40,41] presented an adaptive mesh refinement strategy that combines the staggered algorithm with the screened Poisson equation.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, Samaniego et al [43] solved the phase-field equations via machine learning approach. In this paper, we aim to extend the recently developed adaptive PFM by Hirshikesh et al [37] to model fracture in orthotropic FGMs. The adaptive PFM is based on the combination of quadtree decomposition and recovery based error indicators, allowing for an automatic tracking of the crack trajectory and local domain discretization.…”
Section: Introductionmentioning
confidence: 99%