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A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives

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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 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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Authors and Affiliations

  1. School of Civil Engineering and Surveying, University of Southern Queensland, Springfield Campus, Springfield, QLD, Australia

    Vahid Reza Gharehbaghi

  2. Faculty of Civil and Surveying Engineering, Graduate University of Advanced Technology, Kerman, Iran

    Ehsan Noroozinejad Farsangi

  3. Department of Mechanical Engineering, California Polytechnic State University (ASME Fellow), San Luis Obispo, CA, USA

    Mohammad Noori

  4. Department of Civil Engineering, University of British Columbia, Vancouver, Canada

    T. Y. Yang

  5. Department of Civil and Environmental Engineering, University of California, Berkeley, CA, USA

    Shaofan Li

  6. School of Civil Engineering and Surveying, University of Southern Queensland, Springfield Campus, Springfield, QLD, Australia

    Andy Nguyen

  7. Department of Civil and Environmental Engineering, Imperial College London, London, UK

    Christian Málaga-Chuquitaype

  8. Civil and Environmental Engineering Department, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA

    Paolo Gardoni

  9. Centre for Artificial Intelligence Research and Optimisation, Torrens University, Adelaide, SA, 5000, Australia

    Seyedali Mirjalili

  10. YFL (Yonsei Frontier Lab), Yonsei University, Seoul, 03722, Republic of Korea

    Seyedali Mirjalili

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Gharehbaghi, V.R., Noroozinejad Farsangi, E., Noori, M. et al. A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives. Arch Computat Methods Eng 29, 2209–2235 (2022). https://doi.org/10.1007/s11831-021-09665-9

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