Performance Assessment Using a Field Test of a Short-Period Monitoring System: Tun Bridge Case Study

Kaloop, Mosbeh R.; Kim, Kyoung-Ho; Elsharawy, Mohamed; Zarzoura, Fawzi; Hu, Jong Wan

doi:10.1080/10168664.2019.1632160

Cited by 5 publications

(3 citation statements)

References 25 publications

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“…By incorporating a range of damage scenarios, they assessed the bridge’s response to the loading of a standard passing truck in both the time and frequency domains. Kaloop et al [ 23 ] collected static and dynamic data from the Dorim-Goh Bridge and the Tun Bridge [ 24 ], both located in Korea, using ambient trucks and information in time and frequency domains. Another example is the work of Hedegaard et al [ 25 ], who created a linear elastic finite element model of the concrete post-tensioned box girder I-35W St. Anthony Falls Bridge and validated it using truck-load tests.…”

Section: Introductionmentioning

confidence: 99%

Case Studies about Finite Element Modeling and Wireless Sensing of Three Pennsylvania Bridges

Enshaeian,

Ghahremani,

Rizzo

2024

Sensors

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Three Pennsylvanian bridges were studied using finite element and wireless sensor technology. A detailed finite element model of each bridge was created using a commercial software in order to calculate the strains generated by a load that simulates the presence of a standard truck. Pristine and damage scenarios were simulated, and the computed strains were compared to the experimental strains measured with proprietary wireless sensors during a truck test performed by companies not involved in the study presented in this article. The comparison demonstrated the accuracy of the model and the presence of a few non-critical anomalies in terms of load redistribution. In addition, the comparison proved the reliability of the wireless sensing system installed on the bridges, although some drift was observed. The structural monitoring program for the three bridges was also evaluated by processing more than two years of data streamed to a repository.

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Section: Introductionmentioning

confidence: 99%

Case Studies about Finite Element Modeling and Wireless Sensing of Three Pennsylvania Bridges

Enshaeian,

Ghahremani,

Rizzo

2024

Sensors

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“…Liu et al proposed the bridge deflection calculation through modal flexibility theory, which was combined with the mode shape and modal frequency monitoring data. For the monitored bridge, the time-dependent reliability was evaluated and analyzed by the proposed method [37]. Kaloop et al implemented frequency domain decomposition to estimate the bridge mode shapes and damping ratios and examined the bridge performance reliability through Markov Chain Monte Carlo [38].…”

Section: Introductionmentioning

confidence: 99%

Reliability Assessment Method for Simply Supported Bridge Based on Structural Health Monitoring of Frequency with Temperature and Humidity Effect Eliminated

Tan

Chu

et al. 2022

Sustainability

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Structural health monitoring (SHM) has been widely used for the performance assessment of bridges, especially the methods based on dynamic characteristics. Meanwhile, bridge modal frequency is influenced significantly by environmental factors, such as temperature and humidity. Combined with SHM, a reliability assessment of bridges with the temperature and humidity effects eliminated is proposed. Firstly, the bridge deflection verification coefficient is adopted as the evaluation indicator for bridge condition, which is the ratio of deflection-measured value to deflection-calculated value. It is obtained from the relationship between verification coefficient and modal frequency through theoretical derivation. Secondly, a back propagation (BP) neural network is improved by using an artificial bee colony algorithm and employed as a surrogate model to eliminate the effect of temperature and humidity on frequency. Thirdly, a dynamic Bayesian network is applied to establish the reliability analysis model combined with the monitoring results, so that the probability distribution of bridge parameters is updated to improve the accuracy of the reliability analysis. Finally, a simply supported bridge is used as the case study, based on the proposed method in this work. The results indicate that the proposed method can eliminate the temperature and humidity effect on frequency precisely and effectively. With the effect of temperature and humidity on frequency eliminated, the bridge condition assessment can be evaluated accurately through the reliability analysis based on SHM and the dynamic Bayesian network.

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“…Vibration measurement can be used to estimate and monitor the bridge dynamic characteristics such as natural frequency, mode shape and bridge displacement caused by dynamic loads (e.g., traffic loads). Such dynamic characteristics are can be obtained by using micro tremors technique (e.g., Short Period Seismograph) [6]. Short Period Seismograph (SPS) is a vibration sensor that is commonly used to detect earthquakes or vibrations on the ground surface.…”

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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Performance Assessment Using a Field Test of a Short-Period Monitoring System: Tun Bridge Case Study

Cited by 5 publications

References 25 publications

Case Studies about Finite Element Modeling and Wireless Sensing of Three Pennsylvania Bridges

Case Studies about Finite Element Modeling and Wireless Sensing of Three Pennsylvania Bridges

Reliability Assessment Method for Simply Supported Bridge Based on Structural Health Monitoring of Frequency with Temperature and Humidity Effect Eliminated

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

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