@article {bnh-6042, title = {Dynamic Behavior of Indonesian Bridges using Interferometric Radar Technology}, journal = {Electronic Journal of Structural Engineering}, volume = {18}, year = {2018}, month = {2018}, pages = {23-29}, abstract = {

Structural deterioration of critical transport infrastructures (e.g., bridges) represents trillion dollars of transportation budget. Inspection and monitoring structural deterioration of bridge structures require an innovative method for an improved quality and accuracy of measurements. This paper presents and discusses the capabilities of the recent advanced interferomertic radar technique (IBIS-S) for remote monitoring structural vibations of bridges (e.g., displacement and natural frequency). Three case studies bridges in Indonesia were selected for field measurements. The research outcomes demonstrate the potential use of interferometric radar technology as an efficient way for structural health assessment and monitoring of bridges under operational condition.

}, keywords = {Bridge, displacement, Dynamic behavior, IBIS-S, Natural frequency}, url = {http://www.ejse.org/Archives/Fulltext/2018-1\%20Sp/2018-1-3.pdf}, author = {Maizuar Maizuar and Elisa Lumantarna and Sofi Massoud and Oktavianus Yusak and Lihai Zhang and Colin Duffield and Priyan Mendis} } @article {bnh-6044, title = {Health Assessment of a Pedestrian Bridge Deck using Ground Penetrating Radar}, journal = {Electronic Journal of Structural Engineering}, volume = {18}, year = {2018}, month = {2018}, pages = {30-37}, abstract = {

Scanning concrete structures using ground penetrating radars (GPR) continues to be one of the most efficient methods for defect (i.e. crack, void and delamination) detection within concrete structures as well as detection of reinforcing bars damage due to corrosion. The aim of this study was to assess the structural health of a 45-year old pedestrian bridge deck. To achieve this, a number of experiments using a GPR system were conducted on a strong concrete floor with known construction drawings to detect cover depth and rebar orientations. After validating the GPR results through the experiments, the GPR system was used for nondestructive assessment of the pedestrian bridge deck. From the scanned results, the location and orientation of the reinforcing bar were established. In addition, the diameters of the bars was estimated by measuring the thickness of the hyperbola curves in the B-scans. The scanned output shows no signs of corrosion of reinforcement or damage of concrete in the form of delamination or cracking.

}, keywords = {Bridge, Ground Penetrating Radars, Non-Destructive Techniques, Structural Heath Assessment}, url = {https://www.researchgate.net/profile/Colin_Duffield/publication/326734315_Health_Assessment_of_a_Pedestrian_Bridge_Deck_using_Ground_Penetrating_Radar/links/5b61464baca272a2d678d7d9/Health-Assessment-of-a-Pedestrian-Bridge-Deck-using-Ground-Penetrating-Ra}, author = {Saeed Miramini and Massoud Sofi and Ahmed Aseem and Ali Baluwala and Lihai Zhang and Priyan Mendis and Colin Duffield} } @article {bnh-5163, title = {Monitoring the dynamic behaviour of the Merlynston Creek Bridge using interferometric radar sensors and finite element modeling}, journal = {International Journal of Applied Mechanics}, volume = {9}, year = {2017}, month = {02/2017}, abstract = {

Bridges play an important role in economic development and bring important social benefits. The development of innovative bridge monitoring techniques will enable road authorities to optimize operational and maintenance activities for bridges. However, monitoring the dynamic behavior of a bridge requires a comprehensive understanding of the interaction between the bridge and traffic loading which has not been fully achieved so far. In the present study, an integrated bridge health monitoring framework is developed using advanced 3D Finite Element modeling in conjunction with Weight-in-motion (WIM) technology and interferometric radar sensors (IBIS-S). The realistic traffic loads imposed on the bridge will be obtained through calibration and validation of traffic loading prediction model using real-time bridge dynamic behavior captured by IBIS-S and WIM data. Using the Merlynston Creek Bridge in Melbourne, Australia as a case study, it demonstrated that the proposed bridge monitoring framework can both efficiently and accurately capture the real-time dynamic behavior of the bridge under traffic loading as well as the dynamic characteristics of the bridge. The outcomes from this research could potentially enhance the durability of bridges which is an important component of the sustainability of transport infrastructure.

}, doi = {https://doi.org/10.1142/S175882511750003X}, url = {https://www.worldscientific.com/doi/abs/10.1142/S175882511750003X}, author = {Bidur Kafle and Lihai Zhang and Priyan Mendis and Nilupa Herath and Maizuar Maizuar and Colin Duffield and Russell G Thompson} }