Alternating minimization for data-driven computational elasticity from experimental data: kernel method for learning constitutive manifold

Data-driven computing in elasticity attempts to directly use experimental data on material, without constructing an empirical model of the constitutive relation, to predict an equilibrium state of a structure subjected to a specified external load. Provided that a data set comprising stress–strain p...

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Bibliographic Details
Main Author: Yoshihiro Kanno
Format: article
Language:EN
Published: Elsevier 2021
Subjects:
Online Access:https://doaj.org/article/7811f04a4abb47539f5b12f02939f59b
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