Fatigue Strength Assessment of Riveted Railway Bridge Details Based on Regression Analyses Combined with Probabilistic Models

AuthID
 P-00Y-3RP
7
Author(s)
Moarao, A
·
Xin, HH
·
Bittencourt, T
·
Berto, F
Document Type
Article
Year published
2023
Published
in JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, ISSN: 2238-7854
Volume: 23, Pages: 3257-3271 (15)
Indexing
Wos®
Scopus®
Crossref®3
Google Scholar®
Publication Identifiers
Scopus: 2-s2.0-85150260171
Wos: WOS:000963958300001
Source Identifiers
ISSN: 2238-7854
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