Application of the normalized curvature ratio to an in-service structure

Kaitlyn Kliewer, Branko Glisic

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

2 Scopus citations


Fiber optic sensors (FOS) offer numerous advantages for structural health monitoring. In addition to being durable, lightweight, and capable of multiplexing, they offer the ability to simultaneously monitor both static and dynamic strain. FOS also allow for the instrumentation of large areas of a structure with long-gages sensors which helps enable global monitoring of the structure. Drawing upon these benefits, the Normalized Curvature Ratio (NCR), a curvature based damage detection method, has been developed. This method utilizes a series of long-gage fiber Bragg grating (FBG) strain sensors for damage detection of a structure through dynamic strain measurements and curvature analysis. While dynamic SHM methods typically rely up frequency and acceleration based analysis, it has been found that strain and curvature based analysis may be a more reliable means for structural monitoring. Previous research was performed through small scale experimental testing and analytical models were developed and provided promising results for the NCR as a potential damage sensitive feature. Based on this success, this research focuses on the application of the NCR to an existing in-service structure, the US202/NJ23 highway overpass located in Wayne, NJ. The overpass is currently instrumented with a series of long-gage FBG strains sensors and periodic strain measurements for dynamic events induced by heavy weight vehicles have been recorded for more than 5 years. This research shows encouraging results and the potential for the NCR to be used as a simplistic metric for damage detection using FBG strain sensors.

Original languageEnglish (US)
Title of host publicationHealth Monitoring of Structural and Biological Systems 2017
EditorsTribikram Kundu
ISBN (Electronic)9781510608252
StatePublished - 2017
Externally publishedYes
EventHealth Monitoring of Structural and Biological Systems 2017 - Portland, United States
Duration: Mar 26 2017Mar 29 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


OtherHealth Monitoring of Structural and Biological Systems 2017
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Applied Mathematics
  • Electrical and Electronic Engineering
  • Computer Science Applications


  • Curva-ture
  • Damage sensitive feature
  • Dynamic strain measurements
  • Highway overpass
  • Long-gage fiber optic sensors
  • Structural health monitoring


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