A comparison of damage detection methods applied to civil engineering structures

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceeding

Abstract

Facilitating detection of early-stage damage is crucial for in-time repairs and cost-optimized maintenance plans of civil engineering structures. Preferably, the damage detection is performed by use of output vibration data, hereby avoiding modal identification of the structure. Most of the work within the vibration-based damage detection research field assumes that the unmeasured excitation signal is time-invariant with a constant covariance, which is hardly achieved in practice. In this paper, we present a comparison of a new Mahalanobis distance-based damage detection method with the well-known subspace-based damage detection algorithm robust to changes in the excitation covariance. Both methods are implemented in the modal analysis and structural health monitoring software ARTeMIS, in which the joint features of the methods are concluded in a control chart in an attempt to enhance the damage detection resolution. The performances of the methods and their fusion are evaluated in the context of ambient vibration signals obtained from, respectively, numerical simulations on a simple chain-like system and a full-scale experimental example, namely, the Dogna Bridge. The results reveal that the performances of the two damage detection methods are quite similar, hereby evidencing the justification of the new Mahalanobis distance-based approach as it is less computational complex. The control chart presents a comprehensive overview of the progressively damaged structure.
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Facilitating detection of early-stage damage is crucial for in-time repairs and cost-optimized maintenance plans of civil engineering structures. Preferably, the damage detection is performed by use of output vibration data, hereby avoiding modal identification of the structure. Most of the work within the vibration-based damage detection research field assumes that the unmeasured excitation signal is time-invariant with a constant covariance, which is hardly achieved in practice. In this paper, we present a comparison of a new Mahalanobis distance-based damage detection method with the well-known subspace-based damage detection algorithm robust to changes in the excitation covariance. Both methods are implemented in the modal analysis and structural health monitoring software ARTeMIS, in which the joint features of the methods are concluded in a control chart in an attempt to enhance the damage detection resolution. The performances of the methods and their fusion are evaluated in the context of ambient vibration signals obtained from, respectively, numerical simulations on a simple chain-like system and a full-scale experimental example, namely, the Dogna Bridge. The results reveal that the performances of the two damage detection methods are quite similar, hereby evidencing the justification of the new Mahalanobis distance-based approach as it is less computational complex. The control chart presents a comprehensive overview of the progressively damaged structure.
Original languageEnglish
Title of host publicationExperimental Vibration Analysis for Civil Engineering Structures : Testing, Sensing, Monitoring, and Control
EditorsJoel P. Conte, Rodrigo Astroza, Gianmario Benzoni, Glauco Feltrin, Kenneth J. Loh, Babak Moaveni
Place of PublicationCham, Switzerland
PublisherSpringer
Publication date2018
Pages306-316
ISBN (Print)978-3-319-67442-1
ISBN (Electronic)978-3-319-67443-8
DOI
StatePublished - 2018
Publication categoryResearch
Peer-reviewedYes
Event7th International Conference of Experimental Vibration Analysis for Civil Engineering Structures - UC San Diego campus in La Jolla, California, USA , San Diego, California, United States
Duration: 12 Jul 201714 Jul 2017
Conference number: 7

Conference

Conference7th International Conference of Experimental Vibration Analysis for Civil Engineering Structures
Nummer7
LocationUC San Diego campus in La Jolla, California, USA
LandUnited States
BySan Diego, California
Periode12/07/201714/07/2017
SeriesLecture Notes in Civil Engineering
Volume5
ISSN2366-2557
SeriesLecture Notes in Civil Engineering (electronic)
Volume5
ISSN2366-2565

Bibliographical note

Proceedings of the 7th International Conference on Experimental Vibration Analysis for Civil Engineering Structures

    Research areas

  • Structural health monitoring, Ambient excitation, Damage detection, Control chart-based algorithm fusion

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