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Sensors 2017, 17(10), 2390; doi:10.3390/s17102390

Monitoring Bridge Dynamic Responses Using Fiber Bragg Grating Tiltmeters

1
Department of Civil and Environmental Engineering, University of Alaska Fairbanks, Fairbanks, AK 99775, USA
2
College of Information Technology and Engineering, Marshall University, Huntington, WV 25755, USA
*
Author to whom correspondence should be addressed.
Received: 24 September 2017 / Revised: 15 October 2017 / Accepted: 18 October 2017 / Published: 20 October 2017
(This article belongs to the Special Issue Sensors and Sensor Networks for Structural Health Monitoring)
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Abstract

In bridge health monitoring, tiltmeters have been used for measuring rotation and curvature; however, their application in dynamic parameter identification has been lacking. This study installed fiber Bragg grating (FBG) tiltmeters on the bearings of a bridge and monitored the dynamic rotational angle. The dynamic features, including natural frequencies and mode shapes, have been identified successfully. The innovation presented in this paper is the first-time use of FBG tiltmeter readings to identify the natural frequencies of a long-span steel girder bridge. The identified results have been verified using a bridge finite element model. This paper introduces a new method for the dynamic monitoring of a bridge using FBG tiltmeters. Limitations and future research directions are also discussed in the conclusion. View Full-Text
Keywords: fiber Bragg grating (FBG) tiltmeter; vibration monitoring; bridge health monitoring; dynamic identification; expansion bearing fiber Bragg grating (FBG) tiltmeter; vibration monitoring; bridge health monitoring; dynamic identification; expansion bearing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Xiao, F.; Chen, G.S.; Hulsey, J.L. Monitoring Bridge Dynamic Responses Using Fiber Bragg Grating Tiltmeters. Sensors 2017, 17, 2390.

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