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Frankenstein’s data-driven computing approach to model-free mechanics

van der Heijden, Bram ; Wang, Yunteng ; Lubineau, Gilles

Computational mechanics, 2023-06, Vol.71 (6), p.1269-1280 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Título:
Frankenstein’s data-driven computing approach to model-free mechanics
Autor: van der Heijden, Bram ; Wang, Yunteng ; Lubineau, Gilles
Assuntos: Boundary conditions ; Classical and Continuum Physics ; Composite materials ; Computational Science and Engineering ; Decomposition ; Domains ; Engineering ; Jigsaw puzzles ; Kinematics ; Localization ; Machine learning ; Mechanics ; Original Paper ; Patches (structures) ; Solid mechanics ; Theoretical and Applied Mechanics
É parte de: Computational mechanics, 2023-06, Vol.71 (6), p.1269-1280
Descrição: This paper proposes a data-driven method to predict mechanical responses for structures directly from full-field observations obtained on previously tested structures, with minimal introduction of arbitrary models. The fundamental concept is to directly use raw data, called patches from hereon, comprising displacement fields over large domains, obtained during data harvesting through full-field measurement. These displacement fields have been observed on domains of real structures, and hence are naturally viable solutions from static, kinematic, and constitutive viewpoint. We compile a library of such patches to compute response for new structures. Patches are assembled as pieces of a jigsaw puzzle, similar to how Frankenstein put his monster together from human patches. The approach is illustrated using a traditional beam problem for simplicity. However, the approach is not limited to beam or even solid mechanics, the concept can be applied to predict a wide range of physics and multi-physics phenomena.
Editor: Berlin/Heidelberg: Springer Berlin Heidelberg
Idioma: Inglês

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Frankenstein’s data-driven computing approach to model-free mechanics

van der Heijden, Bram ; Wang, Yunteng ; Lubineau, Gilles

Berlin/Heidelberg: Springer Berlin Heidelberg

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