Genetic programming-based algorithms application in modeling the compressive strength of steel fiber-reinforced concrete exposed to elevated temperatures

Genetic programming-based algorithms application in modeling the compressive strength of steel fiber-reinforced concrete exposed to elevated temperatures

Steel-fiber-reinforced concrete (SFRC) has replaced traditional concrete in the construction sector, improving fracture resistance and post-cracking performance. However, extreme temperatures degrade concrete's material characteristics including stiffness and strength. The construction industry...

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Bibliographic Details
Main Authors: Mohsin Ali, Li Chen, Qadir Bux Alias Imran Latif Qureshi, Deema Mohammed Alsekait, Adil Khan, Kiran Arif, Muhammad Luqman, Diaa Salama Abd Elminaam, Amir Hamza, Majid Khan
Format: Article
Language:English
Published: Elsevier 2024-10-01
Series:Composites Part C: Open Access
Subjects:
SFRC
Elevated temperature
Machine learning
Compressive strength
Predictive model
Online Access:http://www.sciencedirect.com/science/article/pii/S2666682024000987

Internet

http://www.sciencedirect.com/science/article/pii/S2666682024000987

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