Utilizing moving vehicles as sensors for bridge condition screening-A laboratory verification

Chul Woo Kim, Kai Chun Chang, Patrick John McGetrick, Shinichi Inoue, Souichiro Hasegawa

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

58 Citations (Scopus)

Abstract

Health condition monitoring of bridge structures is attracting considerable attention, conventionally relying on visual inspection, and measurement-based methods that involve sensors installed directly on bridges. In recent years, drive-by monitoring methods that treat moving vehicles as moving sensors have been proposed as alternatives; these methods aim to be lowcost, mobile, and target fast bridge condition screening. In this study, we address the current lack of sufficient experimental verification of such methods. Laboratory experiments were conducted using a test vehicle system equipped with accelerometers in order to verify the practical feasibility of three drive-by methods: (1) bridge-frequency extraction using the Fourier spectrum of a vehicle's dynamic response, (2) damage detection using the change in a vehicle's spectral distribution pattern, and (3) roadway surface profile identification.

Original languageEnglish
Pages (from-to)153-163
Number of pages11
JournalSensors and Materials
Volume29
Issue number2
DOIs
Publication statusPublished - 2017
Externally publishedYes

Keywords

  • Damage detection
  • Drive-by method
  • Roadway profile identification
  • Spectral analysis
  • Vibration-based structural health monitoring

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