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Bernal Institute
Efficient identification of ductile damage model parameters using a combined finite-element/machine learning approach
Publication
Efficient identification of ductile damage model parameters using a combined finite-element/machine learning approach
O'Connor, Alison
;
Mongan, Patrick G.
;
O'Dowd, Noel
;
Brennan, William
Date
Abstract
Powerpoint presentation given by Alison O'Connor at ESMC conference Galway July 2022
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Bernal Institute
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ESMC_FINAL.pptx
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Microsoft Powerpoint XML
,
11.76 MB
Keywords
GTN model
,
machine Learning
,
bayesian optimisation
,
ductile damage
,
Engineering
ULRR Identifiers
https://doi.org/10.34961/researchrepository-ul.21394080
https://hdl.handle.net/10344/30949
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Sustainable Development Goals
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