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作者:

Liu, Zenghua (Liu, Zenghua.) (学者:刘增华) | Zhong, Xuwen (Zhong, Xuwen.) | Dong, Tuocan (Dong, Tuocan.) | He, Cunfu (He, Cunfu.) (学者:何存富) | Wu, Bin (Wu, Bin.) (学者:吴斌)

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Scopus SCIE

摘要:

Combined with the modified damage imaging algorithm based on Reconstruction Algorithm for the Probabilistic Inspection of Damage (RAPID), a baseline-free detection method of the Lamb waves based on time reversal method is developed to detect the delamination in the composite plate. Through the analysis of the focus position of time reversal signal, a new calculation method of Damage Index (DI) values is proposed. The modified damage imaging algorithm based on RAPID is integrated with two image fusion methods: full summation method and full multiplication method. According to the analysis of limitations of the modified damage imaging algorithm, the transducer array is adopted, and the problem of the uneven probability distribution caused by the uneven density of sensing network is discussed. Modified methods are proposed to eliminate the influence of the uneven probability distribution and improve the accuracy and reliability of the detection results. The parameter significantly affects the effective detection range of each sensing path in the modified damage imaging algorithm. The value of parameter was experimentally determined and reasonably applied to detect the delamination. Based on the calculation of the DI of individual sensing path and the imaging results of delamination, the identification and localization of delamination were experimentally achieved. The imaging results demonstrated the problem of the uneven probability distribution and the validity of modified methods. Copyright (c) 2016 John Wiley & Sons, Ltd.

关键词:

composite plate delamination Lamb waves RAPID time reversal

作者机构:

  • [ 1 ] [Liu, Zenghua]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Zhong, Xuwen]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Dong, Tuocan]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 4 ] [He, Cunfu]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Wu, Bin]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Liu, Zenghua]Beijing Univ Technol, Beijing Engn Res Ctr Precis Measurement Technol &, Beijing 100124, Peoples R China
  • [ 7 ] [Zhong, Xuwen]Beijing Univ Technol, Beijing Engn Res Ctr Precis Measurement Technol &, Beijing 100124, Peoples R China
  • [ 8 ] [Dong, Tuocan]Beijing Univ Technol, Beijing Engn Res Ctr Precis Measurement Technol &, Beijing 100124, Peoples R China
  • [ 9 ] [He, Cunfu]Beijing Univ Technol, Beijing Engn Res Ctr Precis Measurement Technol &, Beijing 100124, Peoples R China
  • [ 10 ] [Wu, Bin]Beijing Univ Technol, Beijing Engn Res Ctr Precis Measurement Technol &, Beijing 100124, Peoples R China

通讯作者信息:

  • 刘增华

    [Liu, Zenghua]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China

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来源 :

STRUCTURAL CONTROL & HEALTH MONITORING

ISSN: 1545-2255

年份: 2017

期: 5

卷: 24

5 . 4 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:92

中科院分区:2

被引次数:

WoS核心集被引频次: 38

SCOPUS被引频次: 49

ESI高被引论文在榜: 0 展开所有

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