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Compressive strength prediction of one-part alkali activated material enabled by interpretable machine learning

Syed Farasat Ali Shah, Bing Chen, Muhammad Zahid and Muhammad Riaz Ahmad

Article (2022)

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Department: Department of Civil, Geological and Mining Engineering
PolyPublie URL: https://publications.polymtl.ca/53197/
Journal Title: Construction and Building Materials (vol. 360)
Publisher: Elsevier sci ltd
DOI: 10.1016/j.conbuildmat.2022.129534
Official URL: https://doi.org/10.1016/j.conbuildmat.2022.129534
Date Deposited: 18 Apr 2023 14:59
Last Modified: 05 Apr 2024 11:58
Cite in APA 7: Shah, S. F. A., Chen, B., Zahid, M., & Ahmad, M. R. (2022). Compressive strength prediction of one-part alkali activated material enabled by interpretable machine learning. Construction and Building Materials, 360, 129534 (10 pages). https://doi.org/10.1016/j.conbuildmat.2022.129534

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