2013
DOI: 10.1007/s00466-013-0882-3
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Abstract: A Local/Global non-intrusive coupling algorithm is proposed for the analysis of mixed-mode crack propagation. It is based on a three scale multigrid and extended finite element method, that was proposed recently for the direct estimation of stress intensity factors of static cracks. The algorithm couples a linear elastic global model (possibly performed by a industrial software) with an enhanced local model capable of modeling a crack and accurately estimating SIFs (performed by a separate research code). It i… Show more

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Cited by 60 publications
(66 citation statements)
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References 36 publications
(86 reference statements)
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“…We undertake to study a multi-domain model characterized by a physical domain Ω ∈ R d , d = 2 or 3, which is divided into two disjoint, open and bounded subsets Ω 11 and Ω 2 such that Ω = Ω 11 ∪ Ω 2 and Ω 11 ∩ Ω 2 = ∅. Those two non-overlapping subdomains share a common interface denoted Γ (see Fig.…”
Section: Governing Equationsmentioning
confidence: 99%
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“…We undertake to study a multi-domain model characterized by a physical domain Ω ∈ R d , d = 2 or 3, which is divided into two disjoint, open and bounded subsets Ω 11 and Ω 2 such that Ω = Ω 11 ∪ Ω 2 and Ω 11 ∩ Ω 2 = ∅. Those two non-overlapping subdomains share a common interface denoted Γ (see Fig.…”
Section: Governing Equationsmentioning
confidence: 99%
“…The basic strategy may involve a re-parametrization of the NURBS model, including the splitting of the new geometry into several patches with C 0 continuity at the boundaries. This may apply not only for geometric details but to all situations of local models different from the global NURBS patch model (e.g., local refinement, inclusion [9], local fracture [10,11], local plasticity [12], etc.). This entails a considerable modelling effort that is often as complex and time consuming as standard mesh generation and so is opposed to the core idea of IGA, which advocates a direct link between geometry and analysis.…”
Section: Introductionmentioning
confidence: 99%
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