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  • A critical review on structural health monitoring: definitions, methods, and perspectives

    Author(s)
    Gharehbaghi, Vahid Reza
    Noroozinejad Farsangi, Ehsan
    Noori, Mohammad
    Yang, TY
    Li, Shaofan
    Nguyen, Andy
    Málaga-Chuquitaype, Christian
    Gardoni, Paolo
    Mirjalili, Seyedali
    Griffith University Author(s)
    Mirjalili, Seyedali
    Nguyen, Andy
    Year published
    2021
    Metadata
    Show full item record
    Abstract
    The benefits of tracking, identifying, measuring features of interest from structure responses have endless applications for saving cost, time and improving safety. To date, structural health monitoring (SHM) has been extensively applied in several fields, such as aerospace, automotive, and mechanical engineering. However, the focus of this paper is to provide a comprehensive up-to-date review of civil engineering structures such as buildings, bridges, and other infrastructures. For this reason, this article commences with a concise introduction to the fundamental definitions of SHM. The next section presents the general ...
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    The benefits of tracking, identifying, measuring features of interest from structure responses have endless applications for saving cost, time and improving safety. To date, structural health monitoring (SHM) has been extensively applied in several fields, such as aerospace, automotive, and mechanical engineering. However, the focus of this paper is to provide a comprehensive up-to-date review of civil engineering structures such as buildings, bridges, and other infrastructures. For this reason, this article commences with a concise introduction to the fundamental definitions of SHM. The next section presents the general concepts and factors that determine the best strategy to be employed for SHM. Afterward, a thorough review of the most prevalent anomaly detection approaches, from classic techniques to advanced methods, is presented. Subsequently, some popular benchmarks, including laboratory specimens and real structures for validating the proposed methodologies, are demonstrated and discussed. Finally, the advantages and disadvantages of each method are summarized, which can be helpful in future studies.
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    Journal Title
    Archives of Computational Methods in Engineering
    DOI
    https://doi.org/10.1007/s11831-021-09665-9
    Note
    This publication has been entered in Griffith Research Online as an advanced online version.
    Subject
    Information systems
    Health systems
    civil engineering structures
    structural health monitoring (SHM)
    Publication URI
    http://hdl.handle.net/10072/409620
    Collection
    • Journal articles

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