Hybrid FRP strengthening of reinforced concrete deep beams: Experimental, theoretical and machine learning-based study

Hybrid FRP strengthening of reinforced concrete deep beams: Experimental, theoretical and machine learning-based study

This paper presents experimental findings from testing seventeen reinforced concrete deep beams, categorized into four groups based on the presence and type of openings. A novel and cost-effective hybrid strengthening scheme is proposed comprising glass chopped mat sheets and eco-friendly basalt FRP...

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Bibliographic Details
Main Authors: Phromphat Thansirichaisree, Qudeer Hussain, Mingliang Zhou, Ali Ejaz, Shabbir Ali Talpur, Panumas Saingam
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Case Studies in Construction Materials
Subjects:
Hybrid
Strengthening
Deep beams
Openings
Analytical model, machine learning predictions
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509524012099
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