Prediction of microstructural-dependent mechanical properties, progressive damage, and stress distribution from X-ray computed tomography scans using a deep learning workflow

DOI10.1016/J.CMA.2024.116878MaRDI QIDQ6494046

James David Hogan, H. Li, Mohammad Rezasefat

Publication date: 29 April 2024

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

zbMATH Keywords

convolutional neural networksdeep learningmicrostructural variabilityprogressive damage behaviorstructure-property linkages

Mathematics Subject Classification ID

Mechanics of deformable solids (74-XX) Biology and other natural sciences (92-XX)

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