@article {bnh-5164, title = {Detecting structural damage to bridge girders using radar interferometry and computational modelling}, journal = {Structural Control and Health Monitoring}, volume = {24}, year = {2017}, month = {02/2017}, abstract = {

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.

}, doi = {https://doi.org/10.1002/stc.1985}, url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/stc.1985}, author = {Maizuar Maizuar and Lihai Zhang and Saeed Miramini and Priyan Mendis and Russell G Thompson} } @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} }