Impact source identification in a carbon fiber reinforced polymer plate by using embedded fiber optic acoustic emission sensors

被引:49
|
作者
Fu, Tao [1 ]
Liu, Yanju [2 ]
Lau, Kin-tak [3 ]
Leng, Jinsong [1 ]
机构
[1] Harbin Inst Technol, Ctr Composite Mat, Harbin 150080, Peoples R China
[2] Harbin Inst Technol, Dept Aerosp Sci & Mech, Harbin 150001, Peoples R China
[3] Hong Kong Polytech Univ, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Fiber optic sensor; Plates; Anisotropy; Acoustic emission; Non-destructive testing; EDDY-CURRENT; COMPOSITE; DAMAGE; THERMOGRAPHY;
D O I
10.1016/j.compositesb.2014.06.004
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper demonstrates the use of four embedded fiber optic acoustic emission sensors (FOAESs) to identify the impact source of the carbon fiber reinforced polymer (CFRP) plate. The optical waveguide method and computer simulation were both applied to explain the principle of FOAES, which proved that any one of the two output terminals of FOAES was able to reveal frequency response characteristics of stress waves. The response characteristics of the FOAES to the stress waves were calibrated and discussed for comparisons of before-and-after embedded in the CFRP plate. Propagation velocities of stress wave depending on the direction in the CFRP plate were measured by FOAESs as the information for impact source identification. A simple and efficient algorithm based on the intersection of hyperbolic curves was presented to estimate the impact source location. An automatic monitoring system with the tailored program of localization algorithm was introduced for online real-time impact source identification. Experiments of impact source localization were achieved by using the FOAESs array mounted on the surface and embedded in the CFRP plate. The measured results agree well with the actual impact sources in the CFRP plate embedded with FOAESs. Furthermore, the research of composites structures embedded with FOAESs is conductive to developing the intelligent integration of structural health monitoring (SHM). (C) 2014 Published by Elsevier Ltd.
引用
收藏
页码:420 / 429
页数:10
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