Monitoring the Dynamic Behaviour of Concrete Bridges Using Non-Contact Sensors (IBIS-S)

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

Yusuf

et al. 2021

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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.

Section: Introductionmentioning

confidence: 99%

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

Akbar

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

Yusuf

et al. 2021

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“…The implication of these projections is that the number of articulated truck movements required to undertake the freight task would increase dramatically. Ageing bridge infrastructures as well as the increase traffic loads from articulated trucks could considerably affect the accelerating rate of the structural deterioration of bridges and ultimately the reduced service life of bridge structures (Kafle et al 2017, Zhang et al 2016a, Zhang et al 2016b. As conventional methods for structural monitoring of bridges may have limitation in detecting some types of bridge damage, the development of an innovative structural monitoring technique of bridges is of paramount important.…”

Section: Introductionmentioning

confidence: 99%

Structural Health Monitoring of Bridges Using Advanced Non-destructive Testing Technique

Lecture Notes in Civil Engineering

Zhang

Miramini

et al. 2019

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This paper presents an integrated framework for structural health monitoring of bridges by using advanced non-destructive testing (NDT) technique in conjunction with computational modelling. First, the structural characteristics of the Eltham Trestle Bridge under train loading were monitored using the combination of the 3D optical measurement system and IBIS-S. The results demonstrate that, in conjunction with computational modelling, the NDT can capture the structural health conditions of the bridge by analysing the natural frequencies and deformation profiles of the critical members of the bridges. Then, the developed framework also takes into account the impact of extreme events (e.g. truck impacts and earthquakes) by using a reliability-based model. Finally, using the Montague Street Bridge as a case study, it shows that proposed framework has the capability of predicting the residual life of a bridge subject to both progressive deterioration and extreme events throughout its service life.

“…Although previous studies have mainly focused on comparing the measurement results of radar sensors (IBIS‐S) with that of various other types of instruments (e.g., accelerometers), there are relatively few studies that have validated and interpreted IBIS‐S results by developing computational models . Our recent study on monitoring the dynamic behaviour of a full‐scale prestressed concrete bridge using noncontact sensors (IBIS‐S) under daily traffic loading showed that the natural frequency of the bridge measured by IBIS‐S and the maximum vertical displacement of the bridge girders are consistent with that obtained from numerical simulation . However, it is still not fully understood how changes in natural frequencies are correlated to changes in a series of key parameters (e.g., support conditions and crack propagation near the zone of supports) that govern the overall structural performance of a bridge structure.…”

Section: Introductionmentioning

confidence: 99%

Detecting structural damage to bridge girders using radar interferometry and computational modelling

Struct. Control Health Monit.

Zhang

Miramini

et al. 2017

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Summary The process for assessing the condition of a bridge involves continuously monitoring changes to the material properties, support conditions, and system connectivity throughout its life cycle. It is known that the structural integrity of bridges can be monitored by measuring their vibration responses. However, the relationship between frequency changes and structural damage is still not fully understood. This study presents a bridge condition assessment framework which integrates computational modelling and noncontact radar sensor techniques (i.e., IBIS‐S) to predict changes in the natural frequencies of a bridge girder as a result of a range of parameters that govern its structural performance (e.g., elastomeric bearing stiffness, concrete compressive stiffness, and crack propagation). Using a prestressed concrete bridge in Australia as a case study, the research outcomes suggest that vibration monitoring using IBIS‐S is an efficient way for detecting the degradation of elastomeric bearing stiffness and shear crack propagation in the support areas that can significantly affect the overall structural integrity of a bridge structure. However, frequency measurements have limited capability for detecting the decrease in the material properties of a bridge girder.