Bridge condition assessment from dynamic response collected using wireless sensor networks

A. K. M. Anwarul Islam; Hiwa F. Hamid; Frank Li

doi:10.1117/12.2044265

9 March 2014 Bridge condition assessment from dynamic response collected using wireless sensor networks

A. K. M. Anwarul Islam, Hiwa F. Hamid, Frank Li

Proceedings Volume 9064, Health Monitoring of Structural and Biological Systems 2014; 90640B (2014) https://doi.org/10.1117/12.2044265
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2014, San Diego, California, United States

Abstract

We propose dynamic response based condition assessment of prestressed box beam (PSBB) bridges that will be more realistic and cost-efficient. The hypothesis includes that the dynamic response is a sensitive indicator of the physical integrity and condition of a structure. We deployed two wireless sensor networks for collecting the real-time dynamic response of a 25-year old PSBB bridge under trucks with variable loads and speeds. The dynamic response of the bridge at its newest condition was collected from FE simulations of its 3-D FE models mimicking field conditions. The FE model was validated using experimental and theoretical methods. We used Fast Fourier Transform and peak-picking method to determine peak amplitudes and their corresponding fundamental frequencies at its newest and current condition. The analyses interestingly indicate a 37% reduction in its fundamental frequency over a 25-year service life. This reduction has been correlated to its current visual inspection to develop application software for quick and efficient condition assessment of PSBB bridges. The research outcome will provide an efficient and cost-effective solution for bridge inspection and maintenance.

Citation Download Citation

A. K. M. Anwarul Islam, Hiwa F. Hamid, and Frank Li "Bridge condition assessment from dynamic response collected using wireless sensor networks", Proc. SPIE 9064, Health Monitoring of Structural and Biological Systems 2014, 90640B (9 March 2014); https://doi.org/10.1117/12.2044265

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