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Titel:

Finite elements for Matérn-type random fields: Uncertainty in computational mechanics and design optimization

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Duswald, Tobias; Keith, Brendan; Lazarov, Boyan; Petrides, Socratis; Wohlmuth, Barbara
Abstract:
This work highlights an approach for incorporating realistic uncertainties into scientific computing workflows based on finite elements, focusing on prevalent applications in computational mechanics and design optimization. We leverage Matérn-type Gaussian random fields (GRFs) generated using the SPDE method to model aleatoric uncertainties, including environmental influences, variating material properties, and geometric ambiguities. Our focus lies on delivering practical GRF realizations that a...     »
Stichworte:
Random field generation, Topology optimization, Stochastic optimization, Finite elements, Manifolds
Zeitschriftentitel:
Computer Methods in Applied Mechanics and Engineering
Jahr:
2024
Band / Volume:
429
Seitenangaben Beitrag:
117146
Volltext / DOI:
doi:https://doi.org/10.1016/j.cma.2024.117146
WWW:
https://www.sciencedirect.com/science/article/pii/S004578252400402X
Print-ISSN:
0045-7825
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