Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/83830
Title: Guided Wave Tomography Based on Full Waveform Inversion
Authors: Rao, Jing
Ratassepp, Madis
Fan, Zheng
Keywords: Tomography
Numerical models
Issue Date: 2016
Source: Rao, J., Ratassepp, M., & Fan, Z. (2016). Guided Wave Tomography Based on Full Waveform Inversion. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 63(5), 737-745.
Series/Report no.: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Abstract: In this paper, a guided wave tomography method based on full waveform inversion (FWI) is developed for accurate and high-resolution reconstruction of the remaining wall thickness in isotropic plates. The forward model is computed in the frequency domain by solving a full-wave equation in a two-dimensional (2-D) acoustic model, accounting for higher order effects such as diffractions and multiple scattering. Both numerical simulations and experiments were carried out to obtain the signals of a dispersive guided mode propagating through defects. The inversion was based on local optimization of a waveform misfit function between modeled and measured data, and was applied iteratively to discrete frequency components from low to high frequencies. The resulting wave velocity maps were then converted to thickness maps by the dispersion characteristics of selected guided modes. The results suggest that the FWI method is capable to reconstruct the thickness map of a irregularly shaped defect accurately on a 10-mm-thick plate with the thickness error within 0.5 mm.
URI: https://hdl.handle.net/10356/83830
http://hdl.handle.net/10220/41447
ISSN: 0885-3010
DOI: 10.1109/TUFFC.2016.2536144
Rights: © 2016 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. The published version is available at: [http://dx.doi.org/10.1109/TUFFC.2016.2536144].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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