Deterioration and damage identification in building structures using a novel feature selection method

Article

Gharehbaghi, Vahid Reza, Farsangi, Ehsan Noroozinejad, Yang, T.Y. and Hajirasouliha, Iman. 2021. "Deterioration and damage identification in building structures using a novel feature selection method." Structures. 29, pp. 458-470. https://doi.org/10.1016/j.istruc.2020.11.040
Article Title

Deterioration and damage identification in building structures using a novel feature selection method

ERA Journal ID211389
Article CategoryArticle
AuthorsGharehbaghi, Vahid Reza (Author), Farsangi, Ehsan Noroozinejad (Author), Yang, T.Y. (Author) and Hajirasouliha, Iman (Author)
Journal TitleStructures
Journal Citation29, pp. 458-470
Number of Pages13
Year2021
PublisherElsevier
Place of PublicationUnited Kingdom
ISSN2352-0124
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
monitoring (SHM) applications. In this article, a signal-based supervised methodology is proposed for detecting
deterioration and damage in building structures. This method benefits from a novel feature selection method called signal simulation-based feature selection (SSFS) algorithm, which only relies on baseline signals to extract the most sensitive features from any type of structure. The results showed that the offered methodology is capable of identifying damage and deterioration precisely, and therefore, can be a viable alternative to conventional techniques that require additional information

KeywordsDamage identification; Deterioration; SSFS algorithm; Structural Health Monitoring (SHM)
ANZSRC Field of Research 2020400506. Earthquake engineering
Byline AffiliationsKharazmi University, Iran
Graduate University of Advanced Technology, Iran
University of British Columbia, Canada
University of Sheffield, United Kingdom
Institution of OriginUniversity of Southern Queensland
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