Hybrid intelligence framework for optimizing shear capacity of lightweight FRP-reinforced concrete beams

Hybrid intelligence framework for optimizing shear capacity of lightweight FRP-reinforced concrete beams

This study rigorously assesses the shear capacity of fiber-reinforced polymer (FRP) reinforced concrete (RC) beams as a lightweight material alternative, scrutinizing the efficacy of the Eurocode and ACI design codes. Leveraging a dataset of 260 experimental FRP-RC beam cases, two distinct Artificia...

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Bibliographic Details
Main Authors:	Iman Faridmehr, Moncef L. Nehdi, Mohammad Ali Sahraei, Kiyanets Aleksandr Valerievich, Chiara Bedon
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2025-01-01
Series:	International Journal of Lightweight Materials and Manufacture
Subjects:	Fiber-Reinforced Polymer (FRP) Multi-objective optimization Sensitivity analysis Artificial neural network (ANN) Shear capacity
Online Access:	http://www.sciencedirect.com/science/article/pii/S2588840424000672
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