Fatigue Life Prediction of Metallic Materials Considering Mean Stress Effects by Means of an Artificial Neural Network

AuthID
 P-00R-QF4
4
Author(s)
Barbosa, JF
·
Freire Junior, RCS
·
Document Type
Article
Year published
2020
Published
in INTERNATIONAL JOURNAL OF FATIGUE, ISSN: 0142-1123
Volume: 135, Pages: 105527 (11)
Indexing
Wos®
Scopus®
Crossref®6
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85079326265
Wos: WOS:000525299400011
Source Identifiers
ISSN: 0142-1123
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