Cinmemj: Cinmemj moved page Draft Samper 173230484 to Baiges et al 2019b

2020-04-15T09:50:55Z

Cinmemj moved page Draft Samper 173230484 to Baiges et al 2019b

Cinmemj at 09:50, 15 April 2020

2020-04-15T09:50:29Z

Cinmemj: Created page with "==1 Title, abstract and keywords

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-==1 Title, abstract and keywords<!-- Your document should start with a concise and informative title. Titles are often used in information-retrieval systems. Avoid abbreviations and formulae where possible. Capitalize the first word of the title.
+== Abstract ==
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+Topology optimization under uncertainty of large-scale continuum structures is a computational challenge due to the combination of large finite element models and uncertainty propagation methods. The former aims to address the ever-increasing complexity of more and more realistic models, whereas the latter is required to estimate the statistical metrics of the formulation. In this work, the computational burden of the problem is addressed using a sparse grid stochastic collocation method, to calculate the statistical metrics of the topology optimization under uncertainty formulation, and a parallel adaptive mesh refinement method, to efficiently solve each of the stochastic collocation nodes. A two-level parallel processing scheme (TOUU-PS2) is proposed to profit from parallel computation on distributed memory systems: the stochastic nodes are distributed through the distributed memory system, and the efficient computation of each stochastic node is performed partitioning the problem using a domain decomposition strategy and solving each subdomain using an adaptive mesh refinement method. A dynamic load-balancing strategy is used to balance the workload between subdomains, and thus increasing the parallel performance by reducing processor idle time. The topology optimization problem is addressed using the topological derivative concept in combination with a level-set method. The performance and scalability of the proposed methodology are evaluated using several numerical benchmarks and real-world applications, showing good performance and scalability up to thousands of processors.
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← Older revision	Revision as of 09:50, 15 April 2020
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Baiges et al 2019b - Revision history

Cinmemj: Cinmemj moved page Draft Samper 173230484 to Baiges et al 2019b

Cinmemj at 09:50, 15 April 2020

Cinmemj: Created page with "==1 Title, abstract and keywords