Guided wave tomography with an improved scattering model

Huthwaite, Peter

doi:10.1098/rspa.2016.0643

Cited by 32 publications

(30 citation statements)

References 40 publications

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“…However, the experimental reconstruction has slight deformation in the shape of the defect and the contrast of the defect is also slightly underestimated. The reason is that the reconstructed thickness is affected by the effect of different scattering behavior between guided waves with thickness variation and acoustic waves with velocity variation [ 44 ]. Some artifacts can be observed in the reconstructed image, especially at the positions of the transducers array and around the defect.…”

Section: Resultsmentioning

confidence: 99%

“…It can be seen that location of the defect and the minimum thickness have been successfully identified for both cases. It can also be noted that the reconstructed defects are slightly narrower than the measurement from the laser scanner, which is believed to be caused by the difference in the scattering by the acoustic and the elastic model [ 44 ].…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

On-Line Corrosion Monitoring of Plate Structures Based on Guided Wave Tomography Using Piezoelectric Sensors

Rao

Ratassepp

Lisevych

et al. 2017

Sensors

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Corrosion is a major safety and economic concern to various industries. In this paper, a novel ultrasonic guided wave tomography (GWT) system based on self-designed piezoelectric sensors is presented for on-line corrosion monitoring of large plate-like structures. Accurate thickness reconstruction of corrosion damages is achieved by using the dispersive regimes of selected guided waves and a reconstruction algorithm based on full waveform inversion (FWI). The system makes use of an array of miniaturised piezoelectric transducers that are capable of exciting and receiving highly dispersive A0 Lamb wave mode at low frequencies. The scattering from transducer array has been found to have a small effect on the thickness reconstruction. The efficiency and the accuracy of the new system have been demonstrated through continuous forced corrosion experiments. The FWI reconstructed thicknesses show good agreement with analytical predictions obtained by Faraday’s law and laser measurements, and more importantly, the thickness images closely resemble the actual corrosion sites.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

On-Line Corrosion Monitoring of Plate Structures Based on Guided Wave Tomography Using Piezoelectric Sensors

Rao

Ratassepp

Lisevych

et al. 2017

Sensors

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“…For a truly accurate forward model in this scenario, it would be necessary to fully model the IR wave behaviour, including diffraction, reflection, attenuation and refraction as it passes through the pipe. In theory this would correspondingly produce the most accurate results; within geophysics this has been demonstrated in full wave inversion [21] and in guided wave tomography it has also been shown that accurately accounting for scattering behaviour gives the most accurate results [22]. However, this is likely to be very slow, challenging to invert and potentially very sensitive to errors Fig.…”

Section: Initial Reconstructionsmentioning

confidence: 97%

Mid Infrared Tomography of Polymer Pipes

et al. 2020

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Mid-infrared signals in the 2–5 μm wavelength range have been transmitted through samples of polymer pipes, as commonly used in the water supply industry. It is shown that simple through-transmission images can be obtained using a broad spectrum source and a suitable camera. This leads to the possibility of tomography, where images are obtained as the measurement system is rotated with respect to the axis of the pipe. The unusual 3D geometry created by a source of finite size and the imaging plane of a camera, plus the fact that refraction at the pipe wall would cause significant ray bending, meant that the reconstruction of tomographic images had to be considered with some care. A result is shown for a thinning defect on the inner wall of a polymer water pipe, demonstrating that such changes can be reconstructed successfully.

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“…FWI is computationally and algorithmically demanding, and, although these demands hampered progress for many decades, these restrictions have been largely overcome in the past decade, due to advances in algorithms and computing technology. Today, FWI is widely used in applications including medical imaging [10][11][12][13][14] , nondestructive testing [15][16][17][18][19][20][21][22][23][24] , near-surface characterization [25][26][27][28][29][30] , onshore and offshore exploration seismology [31][32][33][34][35][36][37][38][39] , deep crustal seismic imaging [40][41][42][43][44][45][46][47] , earthquake seismology [48][49][50][51][52][53][54] and ambient-noise seismology 55,56 . A comprehensive ove...…”

Section: Surface Wavesmentioning

confidence: 99%

“…Applications of seismic FWI can be categorized as controlled-source, earthquake and ambient-noise seismology. In addition to hydrocarbon exploration and deep crustal imaging [40][41][42][43][44][45][46][47] , controlled-source applications can be further subdivided by scale into medical imaging [10][11][12][13][14] , nondestructive testing [15][16][17][18][19][20][21][22][23][24] and near-surface charac terization of the top tens of metres of the Earth [25][26][27][28][29][30] , but these are beyond the scope of this Technical Review. Since 2010, ambient-noise FWI based on seismic interferometry [159][160][161] has emerged 55,56 .…”

Section: Applicationsmentioning

confidence: 99%

Seismic wavefield imaging of Earth’s interior across scales

Tromp

2019

Nat Rev Earth Environ

113

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Seismic full-waveform inversion (FWI) for imaging Earth's interior was introduced in the late 1970s. Its ultimate goal is to use all of the information in a seismogram to understand the structure and dynamics of Earth, such as hydrocarbon reservoirs, the nature of hotspots and the forces behind plate motions and earthquakes. Thanks to developments in high-performance computing and advances in modern numerical methods in the past 10 years, 3D FWI has become feasible for a wide range of applications and is currently used across nine orders of magnitude in frequency and wavelength. A typical FWI workflow includes selecting seismic sources and a starting model, conducting forward simulations, calculating and evaluating the misfit, and optimizing the simulated model until the observed and modelled seismograms converge on a single model. This method has revealed Pleistocene ice scrapes beneath a gas cloud in the Valhall oil field, overthrusted Iberian crust in the western Pyrenees mountains, deep slabs in subduction zones throughout the world and the shape of the African superplume. The increased use of multi-parameter inversions, improved computational and algorithmic efficiency , and the inclusion of Bayesian statistics in the optimization process all stand to substantially improve FWI, overcoming current computational or data-quality constraints. In this Technical Review, FWI methods and applications in controlled-source and earthquake seismology are discussed, followed by a perspective on the future of FWI, which will ultimately result in increased insight into the physics and chemistry of Earth's interior.

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Guided wave tomography with an improved scattering model

Cited by 32 publications

References 40 publications

On-Line Corrosion Monitoring of Plate Structures Based on Guided Wave Tomography Using Piezoelectric Sensors

On-Line Corrosion Monitoring of Plate Structures Based on Guided Wave Tomography Using Piezoelectric Sensors

Mid Infrared Tomography of Polymer Pipes

Seismic wavefield imaging of Earth’s interior across scales

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