Phase distribution and properties identification of heterogeneous materials: a data-driven approach

DOI10.1016/j.cma.2021.114354OpenAlexW3215393471MaRDI QIDQ2072688

Alberto García-González, Christophe Binetruy, Benedikt Eck, Gabriel Valdés-Alonzo, Adrien Leygue

Publication date: 26 January 2022

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2021.114354

zbMATH Keywords

compositesdigital image correlationcorrespondence analysisdata-driven computational mechanicsdata-driven identification

Mathematics Subject Classification ID

Composite and mixture properties (74E30)

Related Items (1)

Model-free data-driven identification algorithm enhanced by local manifold learning

Uses Software

• k-means++

Cites Work

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