Fatigue Life Prediction of Dissimilar Material Joints Using Neural Networks

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Main Authors: Young Bin Kim, Hee-Chan Song, Suji Kim, JungheeSeo, KyoungsikKim, Heoung-Jae Chun
Format: Recurso digital
Published: Zenodo 2025
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author Young Bin Kim
Hee-Chan Song
Suji Kim
JungheeSeo
KyoungsikKim
Heoung-Jae Chun
author_facet Young Bin Kim
Hee-Chan Song
Suji Kim
JungheeSeo
KyoungsikKim
Heoung-Jae Chun
contents This work was supported by the Korea Research Institute for Defense Technology Planning and Advancement (KRIT) grant funded by the Korea government (DAPA - Defense Acquisition Program Administration) (No. 20-105-E00-005, Defense Vertical Takeoff and Landing Aircraft Specialized Research Center, 2025).
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18597139
institution Zenodo
language
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Fatigue Life Prediction of Dissimilar Material Joints Using Neural Networks
Young Bin Kim
Hee-Chan Song
Suji Kim
JungheeSeo
KyoungsikKim
Heoung-Jae Chun
This work was supported by the Korea Research Institute for Defense Technology Planning and Advancement (KRIT) grant funded by the Korea government (DAPA - Defense Acquisition Program Administration) (No. 20-105-E00-005, Defense Vertical Takeoff and Landing Aircraft Specialized Research Center, 2025).
title Fatigue Life Prediction of Dissimilar Material Joints Using Neural Networks
url https://doi.org/10.5281/zenodo.18597139