Interpretable Machine Learning Algorithms to Predict the Axial Capacity of FRP-Reinforced Concrete Columns

Interpretable Machine Learning Algorithms to Predict the Axial Capacity of FRP-Reinforced Concrete Columns

Fiber-reinforced polymer (FRP) rebars are increasingly being used as an alternative to steel rebars in reinforced concrete (RC) members due to their excellent corrosion resistance capability and enhanced mechanical properties. Extensive research works have been performed in the last two decades to d...

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Bibliographic Details
Main Authors: Celal Cakiroglu, Kamrul Islam, Gebrail Bekdaş, Sanghun Kim, Zong Woo Geem
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Materials
Subjects:
fiber-reinforced polymer (FRP) rebar
reinforced concrete columns
axial capacity
machine learning
ensemble learning
harmony search optimization
Online Access:https://www.mdpi.com/1996-1944/15/8/2742

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