Compressive Strength Prediction of Cfrp Confined Concrete Using Data Mining Techniques

AuthID
 P-00M-KWQ
2
Author(s)
Martins, FF
Tipo de Documento
Article
Year published
2017
Publicado
in Computers and Concrete, ISSN: 1598-8198
Volume: 19, Número: 3, Páginas: 233-241
Indexing
Scopus®
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85015965938
Source Identifiers
ISSN: 1598-8198
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