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Investigation of effective damage detection algorithms for structural health monitoring of large iconic bridges using vibration measurements

Project Member(s): Li, J.

Funding or Partner Organisation: National ICT Australia

Start year: 2014

Summary: The current research on the Sydney Harbour Bridge mainly focuses on monitoring local regions on the Jack arches. Moreover, monitoring is done for only a particular type of failure mechanism. The identification of local failure is crucial to the bridge manager to maintain such an iconic structure. Local monitoring of damage on large structures does not provide information about the global behaviour of the structure. Therefore, it is critical to start considering a network of sensors (currently installed on the bridge) and study their behaviour in order to identify global structural deterioration on the bridge. This project will extend current research for engineering applications by exploring the vibration-based damage detection method. Finite element models for the whole structure will be produced to develop a better understanding of the dynamic behaviour of the structure and its response to damage. The results produced from the finite element model and data collected from the Sydney Harbour Bridge will be used to predict the sub-global and global behaviour of the bridge due to damage

Publications:

Nguyen, V, Li, J, Erkmen, E, Alamdari, MM & Dackermann, U 2018, 'FRF sensitivity-based damage identification using linkage modelling for limited sensor arrays', International Journal of Structural Stability and Dynamics, vol. 18, no. 8.
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Nguyen, V, Li, J & Erkmen, E 2017, 'Numerical Investigation of a Linkage Modelling Technique for Damage Identification Using FRF-Based Model Updating', 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, International Conference on Structural Health Monitoring of Intelligent Infrastructure, Brisbane, QLD.
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Nguyen, VV, Li, J, Yu, Y, Dackermann, U & Alamdari, MM 2016, 'Simulation of various damage scenarios using finite element modelling for structural health monitoring systems', Proceedings of the 24th Australian Conference on the Mechanics of Structures and Materials (ACMSM24), Australian Conference on the Mechanics of Structures and Materials, CRC Press/Balkema, Australia, pp. 1541-1546.
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Nguyen, V, Dackermann, U, Li, J, Alamdari, MM, Mustapha, S, Runcie, P & Ye, L 2015, 'Damage Identification of a Concrete Arch Beam Based on Frequency Response Functions and Artificial Neural Networks', Electronic Journal of Structural Engineering, vol. 14, no. 1, pp. 75-84.
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Nguyen, V, Dackermann, U, Alamdari, MM, Li, J & Runcie, P 2015, 'Model Updating for Loading Capacity Estimation of Concrete Structures using Ambient Vibration', NDT.net, International Symposium Non-Destructive Testing in Civil Engineering (NDT-CE), Berlin, Germany.
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Keywords: Damage Detection, Structural Health Monitoring, Vibration Measurements, Finite Element

FOR Codes: Commercial Building Management and Services, Structural Engineering