Machine learning algorithms in civil structural health monitoring: a systematic review (Record no. 53408)

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control field MX-MdCICY
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control field 20250625162427.0
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Transcribing agency CICY
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Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) B-19270
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Title Machine learning algorithms in civil structural health monitoring: a systematic review
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Volume/sequential designation Archives of Computational Methods in Engineering, 28(4), p.2621-2643, 2021
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Summary, etc. Applications of Machine Learning (ML)algorithms in Structural Health Monitoring (SHM)have become of great interest in recent years owing to their superior ability to detect damage and deficiencies in civil engineering structures. With the advent of the Internet of Things, big data and the colossal and complex backlog of aging civil infrastructure assets, such applications will increase very rapidly. ML can efficiently perform several analyses of clustering, regression and classification of damage in diverse structures, including bridges, buildings, dams, tunnels, wind turbines, etc. In this systematic review, the diverse ML algorithms used in this domain have been classified into two major subfields: vibration-based SHM and image-based SHM. The efficacy of deploying ML algorithms in SHM has been discussed and detailed critical analysis of ML applications in SHM has been provided. Accordingly, practical recommendations have been made and current knowledge gaps and future research needs have been outlined.
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Personal name Flah, M.
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Personal name Nunez, I.
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Personal name Ben Chaabene, W.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Nehdi, M. L.
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Uniform Resource Identifier <a href="https://drive.google.com/file/d/11WfFdlOsbgGvSL-IYhy8IOWBoHWYh9HJ/view?usp=drivesdk">https://drive.google.com/file/d/11WfFdlOsbgGvSL-IYhy8IOWBoHWYh9HJ/view?usp=drivesdk</a>
Public note Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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Source of classification or shelving scheme Clasificación local
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  Clasificación local     Ref1 CICY CICY Documento préstamo interbibliotecario 25.06.2025   B-19270 25.06.2025 25.06.2025 Documentos solicitados