Deterioration and damage identification in building structures using a novel feature selection method
Article
Article Title | Deterioration and damage identification in building structures using a novel feature selection method |
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ERA Journal ID | 211389 |
Article Category | Article |
Authors | Gharehbaghi, Vahid Reza (Author), Farsangi, Ehsan Noroozinejad (Author), Yang, T.Y. (Author) and Hajirasouliha, Iman (Author) |
Journal Title | Structures |
Journal Citation | 29, pp. 458-470 |
Number of Pages | 13 |
Year | 2021 |
Publisher | Elsevier |
Place of Publication | United Kingdom |
ISSN | 2352-0124 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.istruc.2020.11.040 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S2352012420306810 |
Abstract | Identifying structural defects in complex structures is one of the main objectives in real-world structural health |
Keywords | Damage identification; Deterioration; SSFS algorithm; Structural Health Monitoring (SHM) |
ANZSRC Field of Research 2020 | 400506. Earthquake engineering |
Byline Affiliations | Kharazmi University, Iran |
Graduate University of Advanced Technology, Iran | |
University of British Columbia, Canada | |
University of Sheffield, United Kingdom | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q6y1y/deterioration-and-damage-identification-in-building-structures-using-a-novel-feature-selection-method
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