Application of general regression neural network in identifying interfacial parameters under mixed-mode fracture

DOI10.1007/s00707-022-03296-2zbMath1500.74053OpenAlexW4292823862MaRDI QIDQ2083815

Lu Xuan, Hou Junling, Li Qun

Publication date: 11 October 2022

Published in: Acta Mechanica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00707-022-03296-2

zbMATH Keywords

bilinear traction-separation relationcoupled mixed-mode cohesive lawmachine learning-based approachmixed-mode displacement load

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Brittle fracture (74R10) Composite and mixture properties (74E30) Numerical and other methods in solid mechanics (74S99)

Cites Work

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