自诊断复合材料研究进展

复合材料科学与工程 ›› 2020, Vol. 0 ›› Issue (9): 111-117.

自诊断复合材料研究进展

韦君^1,2, 颜春², 赵岳², 赵德刚³

1.中国科学技术大学纳米科学技术学院,苏州215123;
2.浙江省机器人与智能制造装备技术重点实验室,中国科学院宁波材料技术与工程研究所,宁波315201;
3.宁波远景汽车零部件有限公司,宁波315327

收稿日期:2019-11-25 出版日期:2020-09-25 发布日期:2020-09-28
通讯作者: 陈刚(1974-),男,高级工程师,主要从事碳纤维复合材料轻量化技术方面的研究,chengang@nimte.ac.cn。
作者简介:韦君(1996-),男,硕士研究生,主要从事纤维增强树脂基复合材料健康检测方面的研究。
基金资助:
中科院战略性先导专项A(XDA-Y04-02-01,XDA17020405);宁波市自然基金(2018A610027,2018A610173);浙江省博士后择优资助项目(zj20180042)

RESEARCH PROGRESS IN SELF-DIAGNOSIS COMPOSITES

WEI Jun^1,2, YAN Chun², ZHAO Yue², ZHAO De-gang³

1. Nano Science and Technology Institute, University of Science and Technology of China, Suzhou 215123, China;
2. Zhejiang Provincial Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology, Ningbo Institute of Material Technology & Engineering, Chinese Academy of Sciences, Ningbo 315201, China;
3. Ningbo Yuanjing Auto Parts Co., Ltd., Ningbo 315327, China

Received:2019-11-25 Online:2020-09-25 Published:2020-09-28

摘要/Abstract

摘要： 自诊断复合材料是一种可以动态监测自身结构健康状态的功能材料,已被广泛应用于航空航天、车辆工程、土木工程等领域。本文详细介绍了这类复合材料的自诊断原理,包括压阻效应自诊断、压电效应自诊断和光纤自诊断,结合国内外近几年对复合材料自诊断的研究,重点讨论了树脂基复合材料和水泥基复合材料的自诊断研究进展。最后总结了目前自诊断复合材料的不足之处,分析了其未来的应用前景。

关键词: 自诊断, 树脂基复合材料, 水泥基复合材料, 健康监测

Abstract: Self-diagnosis composites are one kind of functional materials that can dynamically monitor the health of their structures and have been widely applied in many fields, such as aerospace, automobile industry, civil engineering, and so on. In this paper, the self-diagnosis principle of composites is introduced in detail, including self-diagnosis of piezoresistive effect, self-diagnosis of piezoelectric effect and self-diagnosis of optical fiber. The research progress of self-diagnosis resin-based composites and self-diagnosis concrete-based composites is also discussed. Finally, the shortcomings of the current self-diagnostic composites are summarized, and its prospect of application in the future is analyzed.

Key words: self-diagnosis, polymer composites, health monitor, concrete composites

中图分类号:

TB332

韦君, 颜春, 赵岳, 赵德刚. 自诊断复合材料研究进展[J]. 复合材料科学与工程, 2020, 0(9): 111-117.

WEI Jun, YAN Chun, ZHAO Yue, ZHAO De-gang. RESEARCH PROGRESS IN SELF-DIAGNOSIS COMPOSITES[J]. Composites Science and Engineering, 2020, 0(9): 111-117.

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