Abstract
The influence of traffic loads on the dynamic features of a bridge is an external factor that can hinder the true condition of the structure. This paper aims to effectuate a shift in the way this factor is viewed. If the interaction between vehicle and bridge is modeled using the finite element method, the response is based on mass, stiffness, and damping matrices of a coupled vehicle-bridge system that vary with the location of the load at each point in time. The time-varying forced frequencies of a beam bridge model due to a fleet of 3-axle trucks based on eigenvalue analysis (i.e., derived from the matrices of the coupled system) are compared to those obtained using dynamic transient analysis (i.e., derived from the frequency content of the acceleration response of the beam due to a truck crossing). Truck properties are randomly varied within a realistic range to obtain a pattern for the forced vibration due to a truck fleet traveling at an ideal speed of 1 m/s on a 15 m bridge with a smooth surface, and at 10 m/s on a 30 m bridge. These patterns reveal a trend that allows for locating and quantifying the stiffness loss associated with a crack using only the forced frequency. The implementation of this methodology requires the installation of accelerometers on the bridge, and a nearby weigh-in-motion system to identify the traffic fleet of interest. High requirements for frequency resolution limit the application to bridges located on low speed routes.
Original language | English |
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Article number | 11380 |
Journal | Applied Sciences (Switzerland) |
Volume | 12 |
Issue number | 22 |
DOIs | |
Publication status | Published - 09 Nov 2022 |
Externally published | Yes |
Bibliographical note
Funding Information:This research has received funding from Science Foundation Ireland (SFI)’s US-Ireland R&D partnership programme under the proposal id. 16/US/I3277 titled MARS-Fly.
Publisher Copyright:
© 2022 by the authors.
Keywords
- bridge dynamics
- damage detection
- forced vibration
- frequency evolution
- mahalanobis distance
- structural health monitoring
- truck fleet
- vehicle bridge interaction
ASJC Scopus subject areas
- General Materials Science
- Instrumentation
- General Engineering
- Process Chemistry and Technology
- Computer Science Applications
- Fluid Flow and Transfer Processes