Artificial Neural Network Based Fatigue Life Assessment of Riveted Joints in Aa2024 Aluminum Alloy Plates and Optimization of Riveted Joints Parameters

AuthID
 P-00Z-5H6
8
Author(s)
Nejad, RM
·
Sina, N
·
Ma, WC
·
Song, W
·
Zhu, S
·
Macek, W
·
Gholami, A
Document Type
Article
Year published
2024
Published
in INTERNATIONAL JOURNAL OF FATIGUE, ISSN: 0142-1123
Volume: 178, Pages: 107997 (12)
Indexing
Wos®
Scopus®
Crossref®1
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85173580083
Wos: WOS:001098935600001
Source Identifiers
ISSN: 0142-1123
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