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Author:

Yan, Shi (Yan, Shi.) | Qi, Ji (Qi, Ji.) | Zhao, Nai Zhi (Zhao, Nai Zhi.) | Cheng, Yang (Cheng, Yang.) | Qi, Sheng Wen Jun (Qi, Sheng Wen Jun.)

Indexed by:

EI Scopus

Abstract:

This paper focuses on the multiple crack detection of steel pipelines using PZT-based guided waves. Numerical simulations of cracked pipes based on ultrasonic guided-waves are conducted by using the ANSYS finite element software. Based on the analysis of the reflected signal, the arrival time of the crack reflection waves are determined and the crack positions are accurately evaluated by the calculation of the travel time and group velocity of the PZT-based guided waves. The crack parameters are numerically altered to determine how the parameters impact the sensitive degree of the pipe crack damage. To validate the efficiency of the numerical simulation, an experiment of the multiple crack detection for the same parameter pipe with the numerical model is performed in the laboratory, and the results match well with the numerical simulation. © (2014) Trans Tech Publications, Switzerland.

Keyword:

Environmental technology Finite element method Pipelines Cracks Guided electromagnetic wave propagation Numerical models Computer simulation

Author Community:

  • [ 1 ] [Yan, Shi]School of Civil Engineering, Shenyang Jianzhu University, Shenyang Liaoning 110168, China
  • [ 2 ] [Qi, Ji]School of Civil Engineering, Shenyang Jianzhu University, Shenyang Liaoning 110168, China
  • [ 3 ] [Zhao, Nai Zhi]School of Civil Engineering, Shenyang Jianzhu University, Shenyang Liaoning 110168, China
  • [ 4 ] [Cheng, Yang]School of Civil Engineering, Shenyang Jianzhu University, Shenyang Liaoning 110168, China
  • [ 5 ] [Qi, Sheng Wen Jun]School of Civil and Environmental Engineering, Beijing University of Technology, Beijing 100081, China

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Source :

ISSN: 1660-9336

Year: 2014

Volume: 448-453

Page: 3702-3708

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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