Machine learning-based model for recognizing the failure modes of FRP-strengthened RC beams in flexure
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Chongqing
Publisher
Elsevier BV
Subject
Materials Science (miscellaneous)
Reference77 articles.
1. Efficiency of shear strengthening of rc beams with externally bonded FRP materials-state-of-the-art in the experimental tests;Kotynia;Compos. Struct.,2021
2. Interfacial debonding failure for reinforced concrete beams strengthened with carbon-fibre-reinforced polymer strips;Bakay;Can. J. Civ. Eng.,2009
3. Debonding strength and anchorage devices for reinforced concrete elements strengthened with FRP sheets;Ceroni;Compos. Part B-Eng.,2008
4. Assessment of plate-end debonding design provisions for RC beams strengthened with FRP;Al-Saawani;Lat. Am. J. Solids Struct.,2020
5. A multi-dimensional evaluation of wire breakage in bridge cable based on self-magnetic flux leakage signals;Zhang;J. Magn. Magn. Mater.,2023
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