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Author:

Li, Zhiqiang (Li, Zhiqiang.) | Jiao, Jingpin (Jiao, Jingpin.) | Zheng, Xiangfeng (Zheng, Xiangfeng.) | Hao, Xiaojun (Hao, Xiaojun.) | He, Cunfu (He, Cunfu.) | Wu, Bin (Wu, Bin.)

Indexed by:

EI SCIE

Abstract:

Low acoustic energy conversion efficiency is a major challenge for air-coupled ultrasonic technology. In the determination of the lift-off distance of air-coupled sensors, there is a balance between the acoustic energy attenuation and the difficulty of extracting defect information. In this study, an air-coupled local defect resonance (LDR) technique with coda wave analysis is proposed for the nondestructive evaluation of debonding in composites. A sensor consisting of 19 elements was used to simultaneously excite and receive ultrasonic waves. Air-coupled LDR experiments were conducted on the two types of composite structures. The effects of sensor lift-off distance and coda wave analysis on the performance of the LDR technique were investigated. It was found that the sensor lift-off distance and the coda wave analysis had a significant effect on the defect detection capability of the LDR technique. For composites, the optimal sensor lift-off distance was found to be between 3.5λ and 5.5λ, where λ is the wavelength. Compared to multiple reflection echoes, the coda waves are more suitable for identifying the damage in composites. The proposed non-contact ultrasonic technique effectively reduces the required incident acoustic energy and can be used for efficient detection of debonding in composites. © 2024 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.

Keyword:

Religious buildings Debonding Solar buildings Ultrasonic waves Concrete buildings Energy conversion efficiency Building materials Solar power generation Ultrasonic testing

Author Community:

  • [ 1 ] [Li, Zhiqiang]College of Mechanical & Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Jiao, Jingpin]College of Mechanical & Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Jiao, Jingpin]School of Information Science and Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Zheng, Xiangfeng]CHN Energy Boiler Pressure Vessel Inspection Co., Ltd., Beijing; 102209, China
  • [ 5 ] [Hao, Xiaojun]CHN Energy Boiler Pressure Vessel Inspection Co., Ltd., Beijing; 102209, China
  • [ 6 ] [He, Cunfu]College of Mechanical & Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 7 ] [He, Cunfu]School of Information Science and Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 8 ] [Wu, Bin]College of Mechanical & Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 9 ] [Wu, Bin]School of Information Science and Technology, Beijing University of Technology, Beijing; 100124, China

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Source :

Smart Materials and Structures

ISSN: 0964-1726

Year: 2024

Issue: 9

Volume: 33

4 . 1 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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