固体力学与飞行器总体设计

基于PVDF的无线智能疲劳监测系统

  • 白石 ,
  • 周智 ,
  • 申宇 ,
  • 欧进萍
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  • 1. 哈尔滨工业大学 土木工程学院, 黑龙江 哈尔滨 150090;
    2. 大连理工大学 土木工程学院, 辽宁 大连 116024
白石男,博士研究生。主要研究方向:结构构件疲劳监测与分析。Tel:0411-84707321,E-mail:stone3214@163.com;欧进萍男,博士,教授,博士生导师。主要研究方向:结构监测、控制与防灾减灾工程。Tel:0451-86282209,E-mail:oujinping@hit.edu.cn

收稿日期: 2013-12-24

  修回日期: 2014-05-21

  网络出版日期: 2014-05-26

基金资助

国家“973”计划(2011CB013705);国家科技支撑项目(2011BAK02B01);教育部新世纪优秀人才支持计划(NCET-10-0290)

A Wireless Intelligent Fatigue Monitoring System Based on PVDF

  • BAI Shi ,
  • ZHOU Zhi ,
  • SHEN Yu ,
  • OU Jinping
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  • 1. School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China;
    2. School of Civil Engineering, Dalian University of Technology, Dalian 116024, China

Received date: 2013-12-24

  Revised date: 2014-05-21

  Online published: 2014-05-26

Supported by

National Basic Research Program of China (2011CB013705); National Scientific Support Project of China (2011BAK02B01); New Century Program for Excellent Talents of Ministry of Education of China (NCET-10-0290).

摘要

疲劳问题由于影响因素多、理论分析误差大、长期实时捕获疲劳信息困难等特点,使得工程中难于对疲劳破坏实现及时的、可靠的预警,这是一直以来困扰机械、土木、航空航天、能源装备等领域研究者们的一个重要课题。针对传统基于应变时程分析疲劳累积损伤的诸多问题,提出了一种以聚偏二氟乙烯(Polyvinylidene Fluoride,PVDF)为感知元件、方便用于结构疲劳监测的无线传感器系统。首先,根据PVDF的感知特性,对其灵敏度系数进行了标定;然后,通过对6061-T6铝合金材料的疲劳性能进行试验研究,验证了该系统的各方面工作性能;最后,通过将试验测点与该铝合金材料的S-N曲线进行对比,验证了该测试方法在研究材料疲劳性能时的可行性。试验结果表明,所开发的疲劳监测系统工作稳定性好、准确性高、实时性强,具有良好的工程应用前景。

本文引用格式

白石 , 周智 , 申宇 , 欧进萍 . 基于PVDF的无线智能疲劳监测系统[J]. 航空学报, 2014 , 35(8) : 2190 -2198 . DOI: 10.7527/S1000-6893.2014.0106

Abstract

Due to the multi-factor influence, big errors in theoretical analysis and difficulties in chronically capturing fatigue datum in real time, it is difficult to give a timely and reliable warning for fatigue failure. This has been a critical problem in engineering practice such as in mechanical engineering, civil infrastructures, aerospace engineering and energy related structures. Considering the problems of analysis on fatigue damage cumulation based on conventional method of strain history, this paper proposes a wireless intelligent system based on polyvinylidene fluoride (PVDF) sensor for fatigue damage monitoring of in-service structures with online structural health monitoring. Firstly, PVDF's sensitivity is calibrated according to its sensing characteristics. Secondly, from the experimental results of 6061-T6 aluminum alloy members, the performance of the system is verified. Finally, by comparison of the experimental results and the S-N curve of 6061-T6 aluminum alloy, the method of study on fatigue of materials in the paper is feasible. The results show that the system has good working stability, high accuracy and nice instantaneity, and it can be further applied to practice.

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