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Investigation of time-varying frequencies of two-axle vehicles and bridges during interaction using drive-by methods and improved multisynchrosqueezing transform

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journal contribution
posted on 2024-07-10, 08:46 authored by Zhenkun Li, Yifu Lan, Kun Feng, Weiwei Lin

 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

220

Publication title

Mechanical Systems and Signal Processing

ISSN

1096-1216

Publisher

Elsevier BV

File version

  • Published version

Language

  • eng

Affiliated with

  • School of Engineering and The Built Environment Outputs