Projects per year
Abstract
This paper puts forward a methodology for applying the frequency domain Factorisation Method to time domain experimental data arising from ultrasonic phased array inspections in a limited aperture setting. Application to both synthetic and experimental data is undertaken and a multi-frequency approach is explored to address the difficulty encountered in empirically choosing the optimum frequency at which to operate. Additionally, a truncated singular value decomposition (TSVD) approach is implemented in the case where the flaw is embedded in a highly scattering medium, to regularise the scattering matrix and minimise the contribution of microstructural noise to the final image. It is shown that when the Factorisation Method is applied to multi-frequency scattering matrices, it can better characterise crack-like scatterers than in the case where the data arises from a single frequency. Finally, a volumetric defect and a lack-of-fusion crack are both successfully reconstructed from experimental data, where the resulting images exhibit only 3\% and 10\% errors respectively in their measurement.
Original language | English |
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Pages (from-to) | 954-966 |
Number of pages | 13 |
Journal | Acta Acustica United with Acustica |
Volume | 103 |
Issue number | 6 |
Early online date | 1 Nov 2017 |
DOIs | |
Publication status | Published - 31 Dec 2017 |
Keywords
- frequency domain analysis
- ultrasonic nondestructive testing
- truncated singular value decomposition
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Dive into the research topics of 'Application of the factorisation method to limited aperture ultrasonic phased array data'. Together they form a unique fingerprint.Profiles
Projects
- 2 Finished
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iNEED (including Nondestructive Evaluation in Engineered Design)
Mulholland, A., Ijomah, W., Illes, T. & Windmill, J.
EPSRC (Engineering and Physical Sciences Research Council)
1/09/16 → 31/01/21
Project: Research
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New Methods For Ultrasonic NDE Of Difficult Materials
Gachagan, A., Li, M., Mulholland, A. & O'Leary, R.
EPSRC (Engineering and Physical Sciences Research Council)
1/08/11 → 31/07/14
Project: Research
Datasets
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FMC dataset - 3mm side drilled hole 304ss MMA weld
Tant, K. M. M. (Creator), University of Strathclyde, 10 Aug 2017
DOI: 10.15129/60b6a5b8-e78e-4742-8414-aaba9399a9c8
Dataset
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FMC dataset - Lack-of-fusion crack on welded 316L stainless steel plates
Tant, K. M. M. (Creator), University of Strathclyde, 2016
DOI: 10.15129/086404bd-eb69-429b-978c-2c35cdbfcf87
Dataset