Damage detection in composite structures with high-damping materials using time reversal method

Hang Xiao, Yanfeng Shen, Li Xiao, Wenzhong Qu, Ye Lu

Research output: Contribution to journalArticleResearchpeer-review

Abstract

This paper presents a new damage detection technique for use in highly damped composite structures using the time reversal method with different excitation amplitudes. A Rayleigh damping model was used to numerically explore the influence of damping on the time-reversibility of Lamb waves. In the experimental investigation, high-damping absorptive materials were introduced between a sensing path on a composite plate. Excitations of different amplitudes were applied on transducers to generate different energy levels for interrogating waves. It was found that high damping broke down the time-reversibility of the Lamb waves. Both the damped and the damaged sensing paths had much higher damage indices than the pristine path under a large excitation. However, with the decrease in excitation amplitude, the damage indices of the damaged path obviously decreased, whereas those of the highly damped path remained almost constant. The proposed method can effectively detect damage in composite structures and avoid false alarms from the presence of high-damping materials.

Original languageEnglish
Pages (from-to)329-345
Number of pages17
JournalNondestructive Testing and Evaluation
Volume33
Issue number3
DOIs
Publication statusPublished - 3 Jul 2018

Keywords

  • composite structure
  • damping effect
  • excitation amplitude
  • Structural health monitoring
  • time reversal method

Cite this

Xiao, Hang ; Shen, Yanfeng ; Xiao, Li ; Qu, Wenzhong ; Lu, Ye. / Damage detection in composite structures with high-damping materials using time reversal method. In: Nondestructive Testing and Evaluation. 2018 ; Vol. 33, No. 3. pp. 329-345.
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Damage detection in composite structures with high-damping materials using time reversal method. / Xiao, Hang; Shen, Yanfeng; Xiao, Li; Qu, Wenzhong; Lu, Ye.

In: Nondestructive Testing and Evaluation, Vol. 33, No. 3, 03.07.2018, p. 329-345.

Research output: Contribution to journalArticleResearchpeer-review

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