Categories of SHM Deployments: Technologies and Capabilities

G. T. Webb, Paul J Vardanega*, Campbell R Middleton

*Corresponding author for this work

Research output: Contribution to journalReview article (Academic Journal)

56 Citations (Scopus)
488 Downloads (Pure)

Abstract

The findings of an extensive literature survey focussing on bridge structural health monitoring deployments are presented. Conventional, maturing and emerging technologies are reviewed as well as deployment considerations for new Structural Health Monitoring (SHM) endeavours. The lack of published calibration studies (and quantification of uncertainty studies) for new sensors is highlighted as a major concern and area for future research. There are currently very few examples of SHM systems which have clearly provided significant value to the owners of monitored structures. The results of the literature survey are used to propose a categorisation system to better assess the potential outcomes of bridge SHM deployments. It is shown that SHM studies can be categorized as one of (or a combination of) the following: (1) Anomaly Detection; (2) Sensor Deployment Studies; (3) Model Validation, (4) Threshold Check and (5) Damage Detection. The new framework aids engineers specifying monitoring systems to determine what should be measured and why, hence allowing them to better evaluate what value may be delivered to the relevant stakeholders for the monitoring investments.
Original languageEnglish
Article number04014118
Number of pages15
JournalJournal of Bridge Engineering
Volume20
Issue number11
Early online date17 Dec 2014
DOIs
Publication statusPublished - Nov 2015

Keywords

  • Data interpretation
  • Modeling
  • State-of-the-art review
  • Structural health monitoring (SHM)
  • Technology

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