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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Iman Faridmehr, Moncef L. Nehdi, Mohammad Ali Sahraei, Kiyanets Aleksandr Valerievich, Chiara Bedon
Μορφή: Άρθρο
Γλώσσα:English
Έκδοση: KeAi Communications Co., Ltd. 2025-01-01
Σειρά:International Journal of Lightweight Materials and Manufacture
Θέματα:
Fiber-Reinforced Polymer (FRP)
Multi-objective optimization
Sensitivity analysis
Artificial neural network (ANN)
Shear capacity
Διαθέσιμο Online:http://www.sciencedirect.com/science/article/pii/S2588840424000672

Διαδίκτυο

http://www.sciencedirect.com/science/article/pii/S2588840424000672

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