Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM

<p dir="ltr">This paper presents a data-driven approach to determine the load and flexural capacities of reinforced concrete (RC) beams strengthened with fabric reinforced cementitious matrix (FRCM) composites in flexure. A total of seven machine learning (ML) models such as kernel r...

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Bibliographic Details
Main Author: Tadesse G. Wakjira (14779165) (author)
Other Authors: Mohamed Ibrahim (3465677) (author), Usama Ebead (14779168) (author), M. Shahria Alam (17128834) (author)
Published: 2022
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