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Location identification of closed crack based on Duffing oscillator transient transition

Authors :
Youxuan Zhao
Lin Bo
Ning Hu
Mingxi Deng
Jun Zhang
Xiaofeng Liu
Yaolu Liu
Source :
Mechanical Systems and Signal Processing. 100:384-397
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

Abstract

The existence of a closed micro-crack in plates can be detected by using the nonlinear harmonic characteristics of the Lamb wave. However, its location identification is difficult. By considering the transient nonlinear Lamb under the noise interference, we proposed a location identification method for the closed crack based on the quantitative measurement of Duffing oscillator transient transfer in the phase space. The sliding short-time window was used to create a window truncation of to-be-detected signal. And then, the periodic extension processing for transient nonlinear Lamb wave was performed to ensure that the Duffing oscillator has adequate response time to reach a steady state. The transient autocorrelation method was used to reduce the occurrence of missed harmonic detection due to the random variable phase of nonlinear Lamb wave. Moreover, to overcome the deficiency in the quantitative analysis of Duffing system state by phase trajectory diagram and eliminate the misjudgment caused by harmonic frequency component contained in broadband noise, logic operation method of oscillator state transition function based on circular zone partition was adopted to establish the mapping relation between the oscillator transition state and the nonlinear harmonic time domain information. Final state transition discriminant function of Duffing oscillator was used as basis for identifying the reflected and transmitted harmonics from the crack. Chirplet time-frequency analysis was conducted to identify the mode of generated harmonics and determine the propagation speed. Through these steps, accurate position identification of the closed crack was achieved.

Details

ISSN :
08883270
Volume :
100
Database :
OpenAIRE
Journal :
Mechanical Systems and Signal Processing
Accession number :
edsair.doi...........22a35cbbfc28bb4f7be01a0df6c47349