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Appl. Sci. 2018, 8(5), 811;

An Indirect Method for Monitoring Dynamic Deflection of Beam-Like Structures Based on Strain Responses

College of Civil Engineering, Nanjing Tech University, Nanjing 211816, China
Nanjing Gongda Construction Technology Co., Ltd., Nanjing 211899, China
Author to whom correspondence should be addressed.
Received: 10 April 2018 / Revised: 14 May 2018 / Accepted: 15 May 2018 / Published: 18 May 2018
(This article belongs to the Special Issue Fiber Bragg Gratings: Fundamentals, Materials and Applications)
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An indirect method for monitoring dynamic deflection of beam-like structures using strain responses measured by long-gauge fiber Bragg grating (FBG) sensors is proposed in this paper. Firstly, a theoretical derivation shows that structural deflection is in direct and linear relationship to long-gauge strain. Meanwhile, the method is suitable for structures with different boundary conditions and irrelevant to external loads. Secondly, the influence of boundary conditions, load type and sensor gauge length on the method is investigated by numerical simulation. Finally, an experiment of a simply supported beam subjected to dynamic loads was designed to verify the method. Experimental results show that both deflection time-history of arbitrary points of structures and deflection distribution along structures at a certain time can be obtained with high-precision. Therefore, the method presented can be a new alternative for the deflection evaluation and maintenance of engineering structures. View Full-Text
Keywords: deflection; fiber Bragg grating sensors; beam-like structures deflection; fiber Bragg grating sensors; beam-like structures

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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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Hong, W.; Qin, Z.; Lv, K.; Fang, X. An Indirect Method for Monitoring Dynamic Deflection of Beam-Like Structures Based on Strain Responses. Appl. Sci. 2018, 8, 811.

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