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The Use of the Forced Frequency of a Bridge Due to a Truck Fleet for Estimating Stiffness Losses at Low Speed
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File | Description | Size | Format | |
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Gonzalez_etal_2022_The use of the forced frequency of a bridge due to a truck fleet for estimating stiffness losses at low speed.pdf | 2.97 MB |
Author(s)
Date Issued
09 November 2022
Date Available
18T14:14:20Z November 2022
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.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
MDPI
Journal
Applied Sciences
Volume
12
Issue
22
Start Page
1
End Page
26
Copyright (Published Version)
2022 The Authors
Language
English
Status of Item
Peer reviewed
ISSN
2076-3417
This item is made available under a Creative Commons License
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