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Proceedings Paper

Bridge load rating from dynamic response collected using wireless sensor networks
Author(s): A. K. M. Anwarul Islam; Amer S. Jaroo; Frank Li
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Paper Abstract

We propose a method for load rating of prestressed box beam (PSBB) bridges based on their dynamic response collected using wireless sensor networks (WSNs). The hypothesis includes that the health of a bridge is associated with its vibration signatures. We deployed two WSNs on a 25-year old PSBB bridge, and ran trucks with variable loads and speeds for collecting its real-time dynamic response at current condition. We also performed FE simulations of 3-D bridge models under vehicular loads to acquire the representative dynamic response at its newest condition. We validated the bridge model by field testing and numerical analysis. We used Fast Fourier Transform and peak-picking algorithms to find maximum peak amplitudes and their corresponding frequencies. We calculated the in-service stiffness of the bridge to determine its load rating, which resembles the actual load rating of the bridge. The application software developed from this research can instantly determine the load rating of a PSBB bridge by collecting its real-time dynamic response. The research outcome will help reduce bridge maintenance costs and increase public safety.

Paper Details

Date Published: 9 March 2014
PDF: 14 pages
Proc. SPIE 9064, Health Monitoring of Structural and Biological Systems 2014, 90640C (9 March 2014); doi: 10.1117/12.2044266
Show Author Affiliations
A. K. M. Anwarul Islam, Youngstown State Univ. (United States)
Amer S. Jaroo, Youngstown State Univ. (United States)
Frank Li, Youngstown State Univ. (United States)

Published in SPIE Proceedings Vol. 9064:
Health Monitoring of Structural and Biological Systems 2014
Tribikram Kundu, Editor(s)

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