Fatigue crack detection in pipes with multiple mode nonlinear guided waves

Ruiqi Guan, Ye Lu, Kai Wang, Zhongqing Su

Research output: Contribution to journalArticleResearchpeer-review

Abstract

This study elaborates fundamental differences in fatigue crack detection using nonlinear guided waves between plate and pipe structures and provides an effective approach for analysing nonlinearity in pipe structures. For this purpose, guided wave propagation and interaction with microcrack in a pipe structure, which introduced a contact acoustic nonlinearity, was analysed through a finite element analysis in which the material nonlinearity was also included. To validate the simulation results, experimental testing was performed using piezoelectric transducers to generate guided waves in a specimen with a fatigue crack. Both methods revealed that the second harmonic wave generated by the breathing behaviour of the microcrack in a pipe had multiple wave modes, unlike the plate scenario using nonlinear guided waves. Therefore, a proper index which considered all the generated wave modes due to the microcrack was developed to quantify the nonlinearity, facilitating the identification of microscale damage and further assessment of the severity of the damage in pipe structures.

Original languageEnglish
Pages (from-to)180-192
Number of pages13
JournalStructural Health Monitoring
Volume18
Issue number1
DOIs
Publication statusPublished - Jan 2019

Keywords

  • contact acoustic nonlinearity
  • fatigue crack
  • Nonlinear guided waves
  • pipelines
  • structural health monitoring

Cite this

Guan, Ruiqi ; Lu, Ye ; Wang, Kai ; Su, Zhongqing. / Fatigue crack detection in pipes with multiple mode nonlinear guided waves. In: Structural Health Monitoring. 2019 ; Vol. 18, No. 1. pp. 180-192.
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Fatigue crack detection in pipes with multiple mode nonlinear guided waves. / Guan, Ruiqi; Lu, Ye; Wang, Kai; Su, Zhongqing.

In: Structural Health Monitoring, Vol. 18, No. 1, 01.2019, p. 180-192.

Research output: Contribution to journalArticleResearchpeer-review

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