JOURNAL ARTICLE

Damage detection and characterization using fiber optic sensors

Branko GlišićDorotea H. SigurdardottirYao YaoDavid Hubbell

Year: 2013 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 8692 Pages: 86921Y-86921Y   Publisher: SPIE

Abstract

Fiber optic sensors (FOS) have significantly evolved and have reached their market maturity during the last decade. Their widely recognized advantages are high precision, long-term stability, and durability. But in addition to these advantageous performances, FOS technologies allow for affordable instrumentation of large areas of structure enabling global large-scale monitoring based on long-gauge sensors and integrity monitoring based on distributed sensors. These two approaches are particularly suitable for damage detection and characterization, i.e., damage localization and to certain extent quantification and propagation, as illustrated by two applications presented in detail in this paper: post-tensioned concrete bridge and segmented concrete pipeline. Early age cracking was detected, localized and quantified in the concrete deck of a pedestrian bridge using embedded long-gauge FOS. Post-tensioning of deck closed the cracks; however, permanent weakening in a bridge joint occurred due to cracking and it was identified and quantified. The damage was confirmed using embedded distributed FOS and a separate load test of the bridge. Real-size concrete pipeline specimens and surrounding soil were equipped with distributed FOS and exposed to permanent ground displacement in a large-scale testing facility. Two tests were performed on different pipeline specimens. The sensors bonded on the pipeline specimens successfully detected and localized rupture of pipeline joints, while the sensors embedded in the soil were able to detect and localize the failure plane. Comparison with strain-gauges installed on the pipeline and visual inspection after the test confirmed accurate damage detection and characterization.

Keywords:
Pipeline (software) Structural health monitoring Structural engineering Optical fiber Strain gauge Fiber optic sensor Durability Deck Condition monitoring Pipeline transport Computer science Engineering Mechanical engineering Telecommunications Electrical engineering

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Citation History

Topics

Advanced Fiber Optic Sensors
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Structural Health Monitoring Techniques
Physical Sciences →  Engineering →  Civil and Structural Engineering
Geotechnical Engineering and Underground Structures
Physical Sciences →  Engineering →  Civil and Structural Engineering

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