Investigation of time-varying frequencies of two-axle vehicles and bridges during interaction using drive-by methods and improved multisynchrosqueezing transform
Recent studies have highlighted the superiority of the drive-by method using vehicle responses
to identify bridge frequencies due to its cost-effectiveness. However, most research identifies
bridge and vehicle frequencies as time-invariant, which neglects the non-stationary nature of
vehicle–bridge interaction systems. This assumption holds true only when the vehicle’s mass
is significantly less than that of the bridge. With an increase in vehicle–bridge mass ratio,
relying on this assumption can lead to substantial errors, necessitating an investigation of time-
varying characteristics extracted from vehicle responses. This study extends this exploration
to extract time-varying frequencies of a vehicle–bridge interaction system involving a two-
axle vehicle and a bridge through the drive-by method and improved multisynchrosqueezing
transform. The semi-analytical solution for time-varying frequencies is newly derived, and
numerical simulations are employed to verify the solution and the effectiveness of the improved
multisynchrosqueezing transform. Various influencing factors, including vehicle speed, vehicle
damping, bridge damping, stiffness of the bridge and vehicle, environmental noises, and road
roughness, are analyzed. Additionally, laboratory experiments with a scaled two-axle vehicle
and two bridge models are conducted to verify the proposed method, and case studies on
different parameters are further provided. Results demonstrated that the time-varying bridge
frequency can be extracted from vehicle responses using the proposed approach. Finally, a novel
index is proposed to evaluate the extraction results of the bridge’s time-varying frequency from
vehicle responses.
History
Refereed
- Yes
Volume
220Publication title
Mechanical Systems and Signal ProcessingISSN
1096-1216External DOI
Publisher
Elsevier BVFile version
- Published version
Language
- eng
Official URL
Affiliated with
- School of Engineering and The Built Environment Outputs