Xiao Feng, Chen Gang S, Hulsey J Leroy
Department of Civil and Environmental Engineering, University of Alaska Fairbanks, Fairbanks, AK 99775, USA.
College of Information Technology and Engineering, Marshall University, Huntington, WV 25755, USA.
Sensors (Basel). 2017 Oct 20;17(10):2390. doi: 10.3390/s17102390.
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.
在桥梁健康监测中，倾斜仪已被用于测量旋转和曲率；然而，它们在动态参数识别方面的应用一直不足。本研究在一座桥梁的支座上安装了光纤布拉格光栅（FBG）倾斜仪，并监测动态旋转角度。成功识别了包括固有频率和振型在内的动态特征。本文提出的创新点是首次利用FBG倾斜仪读数来识别大跨度钢梁桥的固有频率。已使用桥梁有限元模型对识别结果进行了验证。本文介绍了一种使用FBG倾斜仪对桥梁进行动态监测的新方法。结论部分还讨论了局限性和未来的研究方向。
