Direct data-driven algorithms for multiscale mechanics

We propose a randomized data-driven solver for multiscale mechanics problems which improves accuracy by escaping local minima and reducing dependency on metric parameters, while requiring minimal changes relative to non-randomized solvers. We additionally develop an adaptive data-generation scheme t...

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Bibliographic Details

Published in:	Computer methods in applied mechanics and engineering Vol. 433; p. 117525
Main Authors:	Prume, E., Gierden, C., Ortiz, M., Reese, S.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.01.2025
Subjects:	Algorithms Computational mechanics Data-Driven Multiscale mechanics Computational mechanics Algorithms Data-Driven Multiscale mechanics
ISSN:	0045-7825
Online Access:	Get full text
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