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

Celal Cakiroglu, Tanvir Hassan Tusher, Md Shahjalal, Kamrul Islam, A. H. M. Muntasir Billah and Moncef L. Nehdi

Article (2024)

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Department:	Department of Civil, Geological and Mining Engineering
PolyPublie URL:	https://publications.polymtl.ca/59527/
Journal Title:	Developments in the Built Environment (vol. 20)
Publisher:	Elsevier
DOI:	10.1016/j.dibe.2024.100547
Official URL:	https://doi.org/10.1016/j.dibe.2024.100547
Date Deposited:	29 Oct 2024 13:18
Last Modified:	29 Oct 2024 13:18

Cite in APA 7:	Cakiroglu, C., Tusher, T. H., Shahjalal, M., Islam, K., Billah, A. H. M. M., & Nehdi, M. L. (2024). Explainable ensemble learning graphical user interface for predicting rebar bond strength and failure mode in recycled coarse aggregate concrete. Developments in the Built Environment, 20, 100547 (25 pages). https://doi.org/10.1016/j.dibe.2024.100547
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