Chinese Journal of Lasers, Volume. 48, Issue 16, 1610004(2021)
Damage Identification of I-Beam Based on Fiber Bragg Grating Vibration Sensor and Extreme Learning Machine
Fig. 1. New FBG vibration sensor. (a) I-typed section; (b) structure diagram; (c) physical drawing
Fig. 2. Modal simulation of the sensor. (a) Displacement nephogram of the first order modal; (b) strain nephogram of the first order modal
Fig. 3. Strain distribution. (a) Strain distribution of black curve position with length of 20.0 mm; (b) strain distribution at the grating paste position
Fig. 4. Sensor performance simulation. (a) Frequency response at acceleration of 2.0g; (b) accelerated response at vibration frequency of 300 Hz
Fig. 6. Time-frequency response curves of the senor. (a) Time domain at 90 Hz; (b) frequency domain at 90 Hz; (c) time domain at 350 Hz; (d) frequency domain at 350 Hz
Fig. 13. Time-frequency domain response characteristic of the senor. (a)Time domain response of health status; (b) frequency domain response of health status; (c) time domain response of one crack; (d) frequency domain response of one crack ; (e) time domain response of two cracks; (f) frequency domain response of two cracks
Fig. 14. Energy ratio of three operating frequency bands. (a) Health status; (b) one crack; (c) two cracks
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Yijia Li, Zhengfang Wang, Jing Wang, Qingmei Sui. Damage Identification of I-Beam Based on Fiber Bragg Grating Vibration Sensor and Extreme Learning Machine[J]. Chinese Journal of Lasers, 2021, 48(16): 1610004
Category: remote sensing and sensor
Received: Dec. 24, 2020
Accepted: Mar. 1, 2021
Published Online: Jul. 30, 2021
The Author Email: Jing Wang (wangjingkz@sdu.edu.cn)