Monitoring the Dynamic Behavior of The Merlynston Creek Bridge Using Interferometric Radar Sensors and Finite Element Modeling

Kafle, Bidur; Zhang, Lihai; Mendis, Priyan; Herath, Nilupa; Maizuar, Maizuar; Duffield, Colin; Thompson, Russell G.

doi:10.1142/s175882511750003x

Cited by 34 publications

(13 citation statements)

References 27 publications

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“…In terms of transportation monitoring, Xue et al (2014) proposed a pavement health monitoring system based on an embedded sensing network and the modulus of the pavement surface layer can be back-calculated based on testing runs and numerical models. Kafle et al (2017) have done a good work in bridge health monitoring. In their study, an integrated bridge health monitoring framework using advanced 3D Finite Element modeling was developed and the realistic traffic loads imposed on the bridge can be obtained based on Weight-in-motion (WIM) technology and interferometric radar sensors (IBIS-S).…”

Section: Introductionmentioning

confidence: 99%

Real-time monitoring for road-base quality with the aid of buried piezoelectric sensors

Cai

Cao

et al. 2021

Journal of Intelligent Material Systems and Structures

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The road-base usually deteriorate during service time due to factors such as cyclical traffic loads and road-base fouling. Currently the monitoring method for road-base quality is quite limited. This paper proposes a real-time Monitoring method for Road-Base Quality (MRBQ) based on a soil dynamic model and piezoelectric sensors buried in road-base. The soil dynamic model was extended with a piezoelectric equation to calculate the voltage in the road-base generated by a moving traffic load. Then, a model test was conducted to measure the output voltage of the piezoelectric sensors buried in the road-base. Finally, the road-base modulus was back-calculated through the soil dynamic model with the measured voltage. The back-calculated modulus was compared with the modulus measured by resonance column test (RCT) to validate this method. The unique relationship between the peak voltage and the road-base modulus at various depths was identified for different traffic load amplitudes and speeds, and the feasibility and accuracy of the MRBQ was demonstrated. This study reveals that the sensitivity of the piezoelectric sensors can reach 2 V/MPa, and the error to measure the road-base modulus is less than 20%. The proposed MRBQ demonstrates a good application potential in health monitoring of transportation facilities.

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Section: Introductionmentioning

confidence: 99%

Real-time monitoring for road-base quality with the aid of buried piezoelectric sensors

Cai

Cao

et al. 2021

Journal of Intelligent Material Systems and Structures

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“…Assessing the bridge dynamic characteristics under traffic loads in operational condition is time-consuming and requires a large amount of resources. In this context, many researchers have developed numerical modeling to estimate bridge dynamic characteristics (e.g., CSI Bridge) and the obtained simulation results were then compared and validated with experimental tests [7], [9]. CSI Bridge is a specialized analysis and design software used for bridge analysis and design.…”

Section: Introductionmentioning

confidence: 99%

Monitoring the Dynamic Behavior of PCI Bridges Using Short Period Seismograph and CSI Bridge Modeling

Akbar

Maizuar

Yusuf

et al. 2021

Int. J. Eng. Scie. and Inform. Technology.

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Bridges are a critical part of transport infrastructure networks for social activities and economics of human life. Dynamic analysis of bridge is very important to perform in order to ensure the ability of the bridge to withstand loads and maintain the sustainability of transport infrastructure. This paper presents a methodological framework for monitoring dynamic behavior of the bridge (e.g., natural frequencies, displacement time history) by using civil engineering micro-tremor technique and numerical modeling. The study was conducted at the Alue Raya Bridge located in Lhokseumawe City, Aceh Province, Indonesia. To capture the dynamic behavior of the bridge under traffic loading, the micro-tremor techniques, e.g., Short Period Seismograph (SPS) sensor was placed underneath the bridge at the mid span of the bridge girder. The obtained vibration data were processed using Geopsy software. A three dimensional (3D) model of the bridge was then developed by using CSI Bridge software. The modal analysis was conducted to obtain the modal natural frequencies of the bridge due to traffic loads. The natural frequency measurements using SPS were compared with the simulation results. Through analyzing the measured results, it was found that the natural frequency of the bridge is around 4,3275 Hz which is very close to those obtained from numerical modeling using CSI bridge software. The measured maximum vertical displacement of the bridge girders is below 5mm under normal traffic condition which is under the allowable serviceability limit state requirements of the bridge. The outcomes of this study could have the potential to enable maintenance and capital works decisions which are an important component of the sustainability of transport infrastructure.

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“…Concrete bridge decks are most vulnerable components within the transportation infrastructure because they are subjected to continuous deterioration due to direct impact of repetitive heavy traffic loadings, thermal loadings, freeze and thaw cycles and various other ambient environmental conditions. [1][2][3][4] The major problem encountered by the reinforced concrete bridge decks is sub-surface delamination caused by the corrosion of steel reinforcing bars (rebar), which is more evident in the structures where de-icing chemicals are used on the surface. 5 The delamination can lead to local expansion of steel, imposing local stresses on concrete and ultimately triggering cracks along the rebars in concrete.…”

Section: Introductionmentioning

confidence: 99%

The influence of ambient environmental conditions in detecting bridge concrete deck delamination using infrared thermography (IRT)

Raja

Miramini

Duffield

et al. 2020

Struct Control Health Monit

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Summary Delamination is a serious form of deterioration in concrete bridge decks. Infrared thermography (IRT) is an advance non‐destructive testing method for concrete bridge deck delamination detection by capturing the absolute thermal contrast (ΔT) on the concrete surface caused by the disruption in heat flow due to subsurface defects. However, as the ambient environmental conditions (e.g. wind velocity and solar radiation) of a bridge could significantly affect the measurement outcomes of IRT, the optimal times for infrared data collection are still unclear. In this paper, a series of experimental and numerical studies were carried out to investigate the effects of the rate of heat flux and wind velocity on ΔT on the surface of bridge decks with the aim of identifying the optimal inspection times for different geometry characteristics of delamination (i.e. size and depth). The developed model is firstly validated by the experimental data and then a series of parametric studies were carried out. The result shows that the heat flux rate plays an important role in the development of ΔT on concrete surface, especially for a relatively shallow and small size delamination. However, the influence of heat flux rate gradually diminishes with the increase in size and depth of delamination. In addition, it demonstrates that there is a positive linear correlation between the total heat energy (external irradiation) and square of the delamination depth. The current research represents an important step towards the development of an effective and efficient way for defect detection using IRT.

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Monitoring the Dynamic Behavior of The Merlynston Creek Bridge Using Interferometric Radar Sensors and Finite Element Modeling

Cited by 34 publications

References 27 publications

Real-time monitoring for road-base quality with the aid of buried piezoelectric sensors

Real-time monitoring for road-base quality with the aid of buried piezoelectric sensors

Monitoring the Dynamic Behavior of PCI Bridges Using Short Period Seismograph and CSI Bridge Modeling

The influence of ambient environmental conditions in detecting bridge concrete deck delamination using infrared thermography (IRT)

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