In the last 40 years, the interest of the civil engineering community in structural health monitoring has grown remarkably, driven by an increased concern for structural safety and reliability. This motivation, coupled with the enormous strides in computational efficiency, has paved the way for development of vibration-based structural health monitoring techniques for automatic inspection of civil infrastructure systems. This briefing presents the emerging discipline of statistical pattern-recognition-based structural health monitoring, which is able to assess structural conditions rapidly while accounting for the unavoidable uncertainties affecting any real-life application.
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1 November 2015
Brief Report|
June 05 2015
Briefing: Statistical pattern-recognition-based structural health monitoring
Luciana Balsamo, PhD;
Luciana Balsamo, PhD
Postdoctoral Research Associate
Department of Civil Engineering Mechanics, Columbia University, New York, NY, USA
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Raimondo Betti, PhD, PE
Raimondo Betti, PhD, PE
Professor
Department of Civil Engineering and Engineering Mechanics, Columbia University, New York, NY, USA
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Publisher: Emerald Publishing
Received:
March 03 2015
Accepted:
April 07 2015
Online ISSN: 2043-9911
Print ISSN: 2043-9903
ICE Publishing: All rights reserved
2015
Proceedings of the Institution of Civil Engineers - Forensic Engineering (2015) 168 (4): 155–157.
Article history
Received:
March 03 2015
Accepted:
April 07 2015
Citation
Balsamo L, Betti R (2015), "Briefing: Statistical pattern-recognition-based structural health monitoring". Proceedings of the Institution of Civil Engineers - Forensic Engineering, Vol. 168 No. 4 pp. 155–157, doi: https://doi.org/10.1680/feng.15.00008
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