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Multi-helical Lamb Wave Imaging for Pipe-like Structures Based on a Probabilistic Reconstruction Approach

Wang, Zhe; Huang, Songling; Wang, Shen; Wang, Qing; Zhao, Wei

Multi-helical Lamb Wave Imaging for Pipe-like Structures Based on a Probabilistic Reconstruction Approach Thumbnail


Authors

Songling Huang

Wei Zhao



Abstract

The special form of pipe-like structure provides the helical route for ultrasonic guided wave. Considering the pipe as a flattened plate but with periodical replications, the helical wave becomes intuitional and a corresponding imaging algorithm can be constructed. This work proposes the multihelical Lamb wave imaging method by utilizing the multiple arrival wavepackets which are denoted as different orders. The helical wave signal model is presented and the constant group velocity point is illustrated. The probabilistic reconstruction algorithm is combined with the separation and fusion of different helical routes. To verify the proposed scheme, finite element simulations and corresponding experiments are conducted. The cases of single-defect simulation and two-defect simulation indicate the successful and robust implementation of the imaging algorithm. The test on actual pipe damage is also investigated to show its capability in imaging an irregular defect. The comparison with imaging results from only first arrival demonstrates the advantage of multihelical wave imaging, including the better imaging resolution and higher localization accuracy.

Citation

Wang, Z., Huang, S., Wang, S., Wang, Q., & Zhao, W. (2020). Multi-helical Lamb Wave Imaging for Pipe-like Structures Based on a Probabilistic Reconstruction Approach. IEEE Transactions on Instrumentation and Measurement, 70, Article 6002510. https://doi.org/10.1109/tim.2020.3038474

Journal Article Type Article
Acceptance Date Nov 3, 2020
Online Publication Date Nov 17, 2020
Publication Date 2020
Deposit Date Jan 4, 2021
Publicly Available Date Jan 6, 2021
Journal IEEE Transactions on Instrumentation and Measurement
Print ISSN 0018-9456
Electronic ISSN 1557-9662
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 70
Article Number 6002510
DOI https://doi.org/10.1109/tim.2020.3038474
Public URL https://durham-repository.worktribe.com/output/1254572

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Accepted Journal Article (1.2 Mb)
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© 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.






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