Publications

A Machine Learning Model for Predicting the Shear Resistance of Rc Beams Strengthened with Ebr-Cfrp Systems

AuthID
P-017-T2W

Author(s)

Mohammadi, A

Barros, JAO

Sena Cruz, J

Editor(s)

Barros,JAO;Cunha,VMCF;Sousa,HS;Matos,JC;Sena Cruz,JM

Document Type

Proceedings Paper

Year published

2025

Published

in Lecture Notes in Civil Engineering, ISSN: 2366-2557

Volume: 573 LNCE, Pages: 128-134 (6)

Conference

4Th Fib International Conference on Concrete Sustainability, Iccs 2024, Date: 11 September 2024 through 13 September 2024, Location: Guimarães

Indexing

Scopus^®

Crossref^®

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1007/978-3-031-80672-8_16

Scopus: 2-s2.0-85215300366

Source Identifiers

ISSN: 2366-2557

Export Publication Metadata

Marked List

Add to Marked List

Info

At this moment we don't have any links to full text documens.

A Machine Learning Model for Predicting the Shear Resistance of Rc Beams Strengthened with Ebr-Cfrp Systems

Useful Links

Get Help

Federated Authentication (Click on the image)

A Machine Learning Model for Predicting the Shear Resistance of Rc Beams Strengthened with Ebr-Cfrp Systems

Useful Links

Get Help