Intelligent prediction modeling for flexural capacity of FRP-strengthened reinforced concrete beams using machine learning algorithms

Intelligent prediction modeling for flexural capacity of FRP-strengthened reinforced concrete beams using machine learning algorithms

Fiber-reinforced polymers (FRP) are widely utilized to improve the efficiency and durability of concrete structures, either through external bonding or internal reinforcement. However, the response of FRP-strengthened reinforced concrete (RC) members, both in field applications and experimental sett...

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Bibliographic Details
Main Authors: Majid Khan, Adil Khan, Asad Ullah Khan, Muhammad Shakeel, Khalid Khan, Hisham Alabduljabbar, Taoufik Najeh, Yaser Gamil
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Heliyon
Subjects:
Fiber-reinforced polymers
Flexural capacity
Machine learning
Gene expression programming
Multi-expression programming
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023105834

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http://www.sciencedirect.com/science/article/pii/S2405844023105834

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