Long-term Monitoring of Civil Structures and Infrastructure Using Long-Gauge Fiber Optic Sensors

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Civil structures and infrastructure are inevitably subjected to damage and deterioration caused by natural or man-made events or processes. Thus, sustainable preservation, maintenance, renewal, and repurposing of civil structures and infrastructure is becoming a key challenge in modern society. Structural Health Monitoring (SHM) is a process aimed at providing actionable information on structural health condition and performance, which in turn can be used to plan and optimize the remedial actions relative to above presented challenge. Development of Fiber Optic Strain Sensors (FOSS) played an important role in establishing SHM as a viable solution for evaluation of structures, applicable in real-life settings. They brought two strengths into the area: excellent long-term performance in terms of stability and reliability and two unprecedented sensor types: long-gauge and truly distributed sensors. This paper briefly summarizes physical principles of selected FOSS, introduces SHM approaches specifically enabled by long-gauge FOSS, and demonstrates their effectiveness through real-life applications.

Original languageEnglish (US)
Title of host publication2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728116341
DOIs
StatePublished - Oct 2019
Event18th IEEE Sensors, SENSORS 2019 - Montreal, Canada
Duration: Oct 27 2019Oct 30 2019

Publication series

NameProceedings of IEEE Sensors
Volume2019-October
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229

Conference

Conference18th IEEE Sensors, SENSORS 2019
CountryCanada
CityMontreal
Period10/27/1910/30/19

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Keywords

  • civil structures and infrastructure
  • damage detection
  • fiber optic strain sensors
  • global structural monitoring
  • integrity monitoring
  • structural health monitoring

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