Tadesse G. Wakjira, Ahmad Rahmzadeh, M. Shahria Alam and Robert Tremblay
Article (2022)
An external link is available for this itemDepartment: | Department of Civil, Geological and Mining Engineering |
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PolyPublie URL: | https://publications.polymtl.ca/51416/ |
Journal Title: | Structures (vol. 44) |
Publisher: | Elsevier science inc |
DOI: | 10.1016/j.istruc.2022.08.023 |
Official URL: | https://doi.org/10.1016/j.istruc.2022.08.023 |
Date Deposited: | 18 Apr 2023 14:59 |
Last Modified: | 18 Apr 2023 14:59 |
Cite in APA 7: | Wakjira, T. G., Rahmzadeh, A., Alam, M. S., & Tremblay, R. (2022). Explainable machine learning based efficient prediction tool for lateral cyclic response of post-tensioned base rocking steel bridge piers. Structures, 44, 947-964. https://doi.org/10.1016/j.istruc.2022.08.023 |
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