Utilizing Moving Vehicles as Sensors for Bridge Condition Screening – A Laboratory Verification

Chul-Woo Kim, Kai-Chun Chang, Patrick J. McGetrick, Shinichi Inoue, Souichirou Hasegawa

Research output: Contribution to journalArticlepeer-review

46 Citations (Scopus)
194 Downloads (Pure)


Health condition monitoring of bridge structures is attracting considerable attention, conventionally relying on visual inspection, and measurement-based methods which 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 low-cost, mobile, and target fast bridge condition screening. This study addresses 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
Issue number2
Publication statusPublished - 15 Feb 2017


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