TY - JOUR
T1 - Utilizing Moving Vehicles as Sensors for Bridge Condition Screening – A Laboratory Verification
AU - Kim, Chul-Woo
AU - Chang, Kai-Chun
AU - McGetrick, Patrick J.
AU - Inoue, Shinichi
AU - Hasegawa, Souichirou
PY - 2017/2/15
Y1 - 2017/2/15
N2 - 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.
AB - 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.
M3 - Article
VL - 29
SP - 153
EP - 163
JO - Sensors and Materials
JF - Sensors and Materials
SN - 0914-4935
IS - 2
ER -