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A machine learning approach to appraise and enhance the structural resilience of buildings to seismic hazards

Lookup NU author(s): Dr Wanqing ZhaoORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Publication metadata

Author(s): Cere G, Rezgui Y, Zhao W, Petri I

Publication type: Article

Publication status: Published

Journal: Structures

Year: 2022

Volume: 45

Pages: 1516-1529

Print publication date: 01/11/2022

Online publication date: 06/10/2022

Acceptance date: 28/09/2022

Date deposited: 12/12/2024

ISSN (electronic): 2352-0124

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.istruc.2022.09.113

DOI: 10.1016/j.istruc.2022.09.113

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Funding

Funder referenceFunder name
Building Research Establishment (BRE)
Natural Environment Research Council (NERC): NE/N012240/1

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