Fatigue life prediction of composite materials using strain distribution images and a deep convolution neural network
Crossref DOI link: https://doi.org/10.1038/s41598-024-75884-2
Published Online: 2024-10-25
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Mizuno, Yuta
Hosoi, Atsushi
Koshita, Hiroyuki
Tsunoda, Dai
Kawada, Hiroyuki
Text and Data Mining valid from 2024-10-25
Version of Record valid from 2024-10-25
Article History
Received: 27 March 2024
Accepted: 9 October 2024
First Online: 25 October 2024
Declarations
:
: The authors declare no competing interests.