Deep multimodal autoencoder for crack criticality assessment

In continuum mechanics, the prediction of defect harmfulness requires to solve approximately partial differential equations with given boundary conditions. In this contribution boundary conditions are learnt for tight local volumes (TLV) surrounding cracks in three‐dimensional volumes. A nonparametr...

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Bibliographic Details
Published in:	International journal for numerical methods in engineering Vol. 123; no. 6; pp. 1456 - 1480
Main Authors:	Launay, Hugo, Ryckelynck, David, Lacourt, Laurent, Besson, Jacques, Mondon, Arnaud, Willot, Francois
Format:	Journal Article
Language:	English
Published:	Hoboken, USA John Wiley & Sons, Inc 30.03.2022 Wiley Subscription Services, Inc Wiley
Subjects:	Artificial intelligence Boundary conditions CNN Coders Computed tomography Continuum mechanics Defects digital twin Dirichlet problem Engineering Sciences finite element method Forecasting Mapping Materials Model reduction Morphology multimodal autoencoder Partial differential equations transfer Learning CNN Transfer Learning Finite Element Method Multimodal autoencoder Digital Twin
ISSN:	0029-5981, 1097-0207
Online Access:	Get full text
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