Use of fiber Bragg grating array and random decrement for damage detection in steel beam

被引:12
|
作者
Elshafey, A. [1 ]
Marzouk, H. [2 ]
Gu, X. [3 ]
Haddara, M. [4 ]
Morsy, R. [2 ]
机构
[1] Minoufiya Univ, Dept Civil Engn, Shibin Al Kawm, Al Minufiyah, Egypt
[2] Ryerson Univ, Dept Civil Engn, Toronto, ON, Canada
[3] Ryerson Univ, Dept Elect & Comp Engn, Toronto, ON, Canada
[4] Mem Univ Newfoundland, St John, NF, Canada
关键词
Fiber optical Bragg grating array; Strains; Damage; Random decrement; Multichannel random decrement; OPTICAL-FIBER; FATIGUE DAMAGE; IDENTIFICATION; SENSORS;
D O I
10.1016/j.engstruct.2015.10.046
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A growing trend in the use of fiber Bragg grating array to detect structural damage has been observed in recent years. This paper describes the use of fiber Bragg grating optical sensors in an array to identify the location and assess the extent of damage on steel structures. A fiber optical sensing array with eight sensing elements has been designed, fabricated, and applied to measure the time history of strain at different points on a simply supported beam subjected to random loading. The wavelength shifts of the sensors are used to calculate the strain distribution along the beam. The random decrement at each point, for different modes, is extracted from the time history of the responses. The random decrements are compared at different damage ratios to an intact case to identify the existence of damage. Multichannel random decrement is applied to extract excited mode shapes. The mode shapes are then used to determine the location of the damage. The results show that the fiber optical sensor array is a reliable, fast, and accurate tool for the identification and localization of damage by using strain measurements. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:348 / 354
页数:7
相关论文
共 50 条
  • [21] Apodized Fiber Bragg Grating Array Enabled Flexible Multi-wavelength Random Fiber Laser
    Shen, Ming
    Li, Yanxin
    Deng, Jiancheng
    Shu, Xuewen
    2022 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE, ACP, 2022, : 319 - 321
  • [22] Coherent Raman lasing in a short polarization-maintaining fiber with a random fiber Bragg grating array
    Abdullina, S. R.
    Skvortsov, M., I
    Vlasov, A. A.
    Podivilov, E., V
    Babin, S. A.
    LASER PHYSICS LETTERS, 2019, 16 (10)
  • [23] The detection of Wheel-flats based on Fiber Optic Bragg Grating Array
    Mi Qiushi
    Gao Xiaorong
    Zhu Hongna
    Guo Jianqiang
    Wang Zeyong
    Zhao Quanke
    NINTH INTERNATIONAL SYMPOSIUM ON PRECISION ENGINEERING MEASUREMENTS AND INSTRUMENTATION, 2015, 9446
  • [24] Identification of pile damage in high pile wharf by fiber Bragg grating sensor array
    Shu Y.-J.
    Wu J.
    Zhou S.-L.
    Wang J.-J.
    Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2021, 29 (10): : 2349 - 2362
  • [25] Distributed vibration detection system based on weak fiber bragg grating array
    Liu S.
    Han X.
    Xiong Y.
    Wen H.
    Zhongguo Jiguang/Chinese Journal of Lasers, 2017, 44 (02):
  • [26] Carbon Cantilever Beam Health Inspection Using a Polymer Fiber Bragg Grating Array
    Theodosiou, Antreas
    Komodromos, Michael
    Kalli, Kyriacos
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 2018, 36 (04) : 986 - 992
  • [27] A Fiber Bragg Grating accelerometer with cantilever beam
    Jiang, Lirong
    Yu, Dakuan
    Gao, Hong
    Xu, Dongpo
    Wang, Bo
    Qiao, Xueguang
    OPTICAL FIBER TECHNOLOGY, 2022, 74
  • [28] Structural Damage Detection Based on a Fiber Bragg Grating Sensing Array and a Back Propagation Neural Network: An Experimental Study
    Luo, Pei
    Zhang, Dongsheng
    Wang, Lixin
    Jiang, Desheng
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2010, 9 (01): : 5 - 11
  • [29] Multiple load path damage detection with optical fiber Bragg grating sensors
    Grooteman, Frank
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2021, 20 (01): : 46 - 57
  • [30] Multiple load path damage detection with optical fiber Bragg grating sensors
    Grooteman, Frank
    Structural Health Monitoring, 2021, 20 (01) : 46 - 57