Machine learning based fatigue life prediction of metal components subjected to block loading

Engineering Integrity Society

doi:10.5281/zenodo.12705521

Published June 19, 2024 | Version v1

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Machine learning based fatigue life prediction of metal components subjected to block loading

Engineering Integrity Society (Contact person)

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DOI

Resource type

Conference paper

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Zenodo

Imprint

Proceedings of the 9th Engineering Integrity Society International Conference on Durability & Fatigue, 337-355. ISBN: ISBN 978-0-9544368-7-2.

Conference

9th Engineering Integrity Society International Conference on Durability & Fatigue - Fatigue 2024 , Jesus College, University of Cambridge, Cambridge, UK, 19-21 June 2024

Creative Commons Attribution 4.0 International

The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

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Created: July 10, 2024
Modified: July 10, 2024

Machine learning based fatigue life prediction of metal components subjected to block loading

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Files

29. Hectors.pdf

Files (13.5 MB)