Fatigue Crack Growth on Modified Ct Specimens Using Artificial Neural Networks

AuthID
 P-00X-F94
3
Author(s)
Document Type
Article
Year published
2023
Published
in INTERNATIONAL JOURNAL OF FATIGUE, ISSN: 0142-1123
Volume: 167
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Publication Identifiers
Scopus: 2-s2.0-85140975607
Wos: WOS:000920354100002
Source Identifiers
ISSN: 0142-1123
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