Paper
1 April 2010 Identification of modal macro-strain vector based on distributed long-gage FBG sensors under ambient vibration
Wan Hong, Caiqian Yang, Zhishen Wu, Yufeng Zhang, Chunfeng Wan, Gang Wu
Author Affiliations +
Abstract
Recent reports show that modal macro-strain vector (MMSV) obtained by using distributed long-gage FBG sensors is an effective indicator for damage detection. However, in previous researches, MMSV was always obtained under impulsive load such as hammer impact. In structural health monitoring of real large-scale structures, however, it is often very difficult to apply such impulsive load. This paper therefore introduces a new method to abstract MMSV under ambient excitation. Theoretical deduction reveals that MMSV can be uniquely determined by auto-spectrum of dynamic macro-strain responses under ambient excitation. Both numerical simulation and experiment were conducted to verify the proposed methods. Simulation results showed that that the identified frequencies and MMSV vectors under random excitation are in good agreement with those obtained from theoretical analysis, while experimental results showed the identified frequencies and MMSV agreed well with those obtained using point impulsive excitation.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wan Hong, Caiqian Yang, Zhishen Wu, Yufeng Zhang, Chunfeng Wan, and Gang Wu "Identification of modal macro-strain vector based on distributed long-gage FBG sensors under ambient vibration", Proc. SPIE 7647, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010, 764736 (1 April 2010); https://doi.org/10.1117/12.847804
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KEYWORDS
Sensors

Fiber Bragg gratings

Numerical simulations

Structural health monitoring

Optical simulations

Computer simulations

Damage detection

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