基于光纤光栅传感器的复合材料损伤识别系统

路士增; 林兰波; 姜明顺; 贾磊; 隋青美; 赛耀樟

doi:10.3788/OPE.20142211.2894

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基于光纤光栅传感器的复合材料损伤识别系统

现代应用光学 | 更新时间：2020-08-13

- 基于光纤光栅传感器的复合材料损伤识别系统
- Identification system of composite material damage based on FBG sensor
- 光学精密工程 2014年22卷第11期页码：2894-2901
- 作者机构：
  
  1. 山东大学控制科学与工程学院,山东济南,250061
  2. 山东省产品质量检验研究院,山东济南,250102
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目(No.61174018)();山东省自然科学基金资助项目(No.ZR2011FQ025)();中国博士后基金资助项目(No.201104916
- DOI：10.3788/OPE.20142211.2894
  中图分类号： V257;TN253
- 收稿日期：2013-12-24，
  
  修回日期：2014-02-07，
  
  纸质出版日期：2014-11-25
- 稿件说明：
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路士增, 林兰波, 姜明顺等. 基于光纤光栅传感器的复合材料损伤识别系统[J]. 光学精密工程, 2014,22(11): 2894-2901

LU Shi-zeng, LIN Lan-bo, JIANG Ming-shun etc. Identification system of composite material damage based on FBG sensor[J]. Editorial Office of Optics and Precision Engineering, 2014,22(11): 2894-2901
路士增, 林兰波, 姜明顺等. 基于光纤光栅传感器的复合材料损伤识别系统[J]. 光学精密工程, 2014,22(11): 2894-2901 DOI： 10.3788/OPE.20142211.2894.

LU Shi-zeng, LIN Lan-bo, JIANG Ming-shun etc. Identification system of composite material damage based on FBG sensor[J]. Editorial Office of Optics and Precision Engineering, 2014,22(11): 2894-2901 DOI： 10.3788/OPE.20142211.2894.

摘要

利用光纤布拉格光栅(FBG)构建了传感器网络;结合小波分解与重构算法、频谱分析和支持向量多分类机算法研究了碳纤维复合材料板损伤的模式识别算法。首先

对带有不同损伤模式的复合材料结构进行冲击试验

探索损伤模式与信号特征之间的关系。然后

对信号进行小波分解与重构去除基线干扰;采用傅里叶变换频谱分析提取信号幅频特性

构建了复合材料结构损伤模式识别方法。最后

将提取的信号幅频特性作输入

复合材料结构损伤模式作输出

利用支持向量多分类机

实现了复合材料结构损伤模式识别。在500 mm500 mm2 mm的碳纤维复合材料板中心

选定200 mm200 mm的实验区域

对30组测试样本进行了损伤模式识别。实验结果表明: 29组损伤模式得到了准确识别

正确率为96.7%。研究结果为碳纤维复合材料板的损伤模式识别提供了一种可靠的方法。

Abstract

A sensing network was constructed by a Fiber Bragg Grating (FBG) sensor

and a mode identification algorithm for the damage of carbon composite materials was researched by combining the wavelet decomposition and reconstruction

frequency spectrum analysis and support vector classifier algorithm. Firstly

according to the impact test on a composite material structure with different damage modes

the relationship between damage modes and signal characteristics was explored. Then

the wavelet decomposition and reconstruction were used to remove the signal baseline interference

and the identification method of damage mode for composite materials was constructed based on extracting signal amplitude frequency characteristic by Fourier transform analysis. Finally

the extracted signal amplitude frequency characteristic was used as an input and the damage mode as an output

the damage modes of composite materials were identified based on support vector classifiers. An experimental area with 200 mm200 mm was selected in a 500 mm500 mm2 mm carbon fiber reinforced plastic plate center. The 30 damage modes are tested

and the result shows that 29 damage modes are identified accurately with identification accuracy of 96.7%. The research provides a reliable method for the identification of damage modes of composite materials.

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references

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