Explainable machine learning based efficient prediction tool for lateral cyclic response of post-tensioned base rocking steel bridge piers

Tadesse G. Wakjira, Ahmad Rahmzadeh, M. Shahria Alam and Robert Tremblay

Article (2022)

An external link is available for this item

Department:	Department of Civil, Geological and Mining Engineering
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:	08 Apr 2025 07:19

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
APA 7 (HTML)ASCII CitationAtomBibTeXDOIsDublin CoreEndNote (.ENW)MARC (ISO 2709/UTF-8) (.MRC)MARC (UTF-8) (.MRK8)MARC XMLMPEG-21 DIDLMultiline CSVOAI-ORE Resource Map (Atom Format)OPENAIREOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLReferReference Manager (.RIS)Simple Metadata

Statistics

Dimensions

Repository Staff Only

View Item