Abstract
Indirect bridge health monitoring is conducted by running an instrumented vehicle over a bridge, where the vehicle serves as a source of excitation and as a signal receiver; however, it is also important to investigate the response of the instrumented vehicle while it is in a stationary position while the bridge is excited by other source of excitation. In this paper, a numerical model of a stationary vehicle parked on a bridge excited by another moving vehicle is developed. Both stationary and moving vehicles are modeled as spring–mass single-degree-of-freedom systems. The bridges are simply supported and are modeled as 1D beam elements. It is known that the stationary vehicle response is different from the true bridge response at the same location. This paper investigates the effectiveness of contact-point response in reflecting the true response of the bridge. The stationary vehicle response is obtained from the numerical model, and its contact-point response is calculated by MATLAB. The contact-point response of the stationary vehicle is investigated under various conditions. These conditions include different vehicle frequencies, damped and undamped conditions, different locations of the stationary vehicle, road roughness effects, different moving vehicle speeds and masses, and a longer span for the bridge. In the time domain, the discrepancy of the stationary vehicle response with the true bridge response is clear, while the contact-point response agrees well with the true bridge response. The contact-point response could detect the first, second, and third modes of frequency clearly, unlike the stationary vehicle response spectra.
Highlights
The structural deterioration of bridges could pose life-threatening risks to crossing pedestrians, vehicles, and trains
4 of of the displacement and acceleration responses of the bridge may be obtained for the vehicle bridge interaction (VBI) problem shown in Figure 1 [40]
The stationary vehicle response was obtained from the upper node of the spring–mass vehicle that was parked at the bridge in the finite element (FE) model
Summary
The structural deterioration of bridges could pose life-threatening risks to crossing pedestrians, vehicles, and trains. In 2004, Yang and Lin [15] proposed an indirect vibration-based approach to overcome the issues of direct methods Their approach employed an instrumented vehicle to record vibration signals while passing over a bridge. The recorded vibrations are processed in order to assess the health state of the bridge This indirect method is especially cost effective because it requires one or few sensors to be installed on a vehicle. Lin and Yang [17] demonstrated how the response of a stationary vehicle is different from the true response of the bridge in a field test experiment He and Ren [38] employed stationary vehicle vibration for mode shape identification in bridges; their bridge was excited by ambient vibrations, such as wind. Several factors are investigated, such as different vehicle frequencies, damped and undamped conditions, different locations of the stationary vehicle, and different moving vehicle speeds and masses
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