Explainable ensemble learning graphical user interface for predicting rebar bond strength and failure mode in recycled coarse aggregate concrete

Explainable ensemble learning graphical user interface for predicting rebar bond strength and failure mode in recycled coarse aggregate concrete

Novel study deploys robust machine learning algorithms using newly built comprehensive dataset to predict reinforcing rebar-to-recycled coarse aggregate concrete (RCA) bond strength and failure mode. Prior investigations have solely concentrated on bond strength, resulting in a limited comprehension...

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Bibliographic Details
Main Authors: Celal Cakiroglu, Tanvir Hassan Tusher, Md. Shahjalal, Kamrul Islam, AHM Muntasir Billah, Moncef L. Nehdi
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Developments in the Built Environment
Subjects:
Recycled aggregate
Concrete
Bond strength
Failure mode
Machine learning
Prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S266616592400228X
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