2014
DOI: 10.1002/nme.4755
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Hierarchically parallel coupled finite strain multiscale solver for modeling heterogeneous layers

Abstract: We develop a three-dimensional, hierarchically parallel, finite strain multiscale solver capable of computing nonlinear multiscale solutions with over 1 billion finite elements and over 574 million nonlinear equations on 1552 computing cores. In the vein of FE 2 , we use the nested iterative procedure and devote the solver to multiscale cohesive modeling of heterogeneous hyperelastic layers. The hierarchically parallel multiscale solver takes advantage of a client-server non-blocking communication matrix that … Show more

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Cited by 40 publications
(43 citation statements)
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References 32 publications
(47 reference statements)
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“…It shows that the presented simulations can be conducted on classical machines, but that a very large space for improvement of computational times is possible, by using massively parallel computers, such as e.g. in [15,17].…”
Section: Resultsmentioning
confidence: 99%
“…It shows that the presented simulations can be conducted on classical machines, but that a very large space for improvement of computational times is possible, by using massively parallel computers, such as e.g. in [15,17].…”
Section: Resultsmentioning
confidence: 99%
“…Nevertheless, CH is naturally parallelizable (Mosby and Matouš, 2015a) and the method has demonstrated excellent scalability as shown later in this chapter. Alternatively, a growing emphasis is given on its efficiency, whereby use is made of advanced computational techniques and reduced order models (Yvonnet and He, 2007;Fritzen and Leuschner, 2013;Fritzen et al, 2014;Kerfriden et al, 2014).…”
Section: Nonlinear Computational Homogenizationmentioning
confidence: 92%
“…• Multiscale interfaces or cohesive cracks: CH of interfaces typically couples a cohesive zone type description at the macroscale to an interfacial RVE at the microscale Verhoosel et al, 2010;Nguyen et al, 2012;Mosby and Matouš, 2015a).…”
Section: Nonlinear Computational Homogenizationmentioning
confidence: 99%
“…However, the multiscale homogenization solution is easily parallelizable due to the fact that the different micro-scale BVPs are independent of each other [24,70,81]. In addition, several recent contributions have been presented aiming at improving the robustness and reducing the computational cost e.g.…”
Section: Review Of Multiscale Methodsmentioning
confidence: 99%