Abstract
| Original language | English |
|---|---|
| Number of pages | 18 |
| Journal | Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences |
| Volume | 472 |
| Issue number | 2188 |
| DOIs | |
| Publication status | Published - 20 Apr 2016 |
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Keywords
- imaging algorithms
- austenitic welds
- flaw detection
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The detection of flaws in austenitic welds using the decomposition of the time reversal operator. / Cunningham, Laura J.; Mulholland, Anthony J.; Tant, Katherine M. M.; Gachagan, Anthony; Harvey, Gerry; Bird, Colin .
In: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 472, No. 2188, 20.04.2016.Research output: Contribution to journal › Article
TY - JOUR
T1 - The detection of flaws in austenitic welds using the decomposition of the time reversal operator
AU - Cunningham, Laura J.
AU - Mulholland, Anthony J.
AU - Tant, Katherine M. M.
AU - Gachagan, Anthony
AU - Harvey, Gerry
AU - Bird, Colin
PY - 2016/4/20
Y1 - 2016/4/20
N2 - The non-destructive testing of austenitic welds using ultrasound plays an important role in the assessment of the structural integrity of safety critical structures. The internal microstructure of these welds is highly scattering and can lead to the obscuration of defects when investigated by traditional imaging algorithms. This paper proposes an alternative objective method for the detection of flaws embedded in austenitic welds based on the singular value decomposition of the time-frequency domain response matrices. The distribution of the singular values is examined in the cases where a flaw exists and where there is no flaw present. A lower threshold on the singular values, specific to austenitic welds, is derived which, when exceeded, indicates the presence of a flaw. The detection criterion is successfully implemented on both synthetic and experimental data. The datasets arising from welds containing a flaw, are further interrogated using the decomposition of the time reversal operator (DORT) method and the total focussing method (TFM) and it is shown that images constructed via the DORT algorithm typically exhibit a higher signal to noise ratio than those constructed by the TFM algorithm.
AB - The non-destructive testing of austenitic welds using ultrasound plays an important role in the assessment of the structural integrity of safety critical structures. The internal microstructure of these welds is highly scattering and can lead to the obscuration of defects when investigated by traditional imaging algorithms. This paper proposes an alternative objective method for the detection of flaws embedded in austenitic welds based on the singular value decomposition of the time-frequency domain response matrices. The distribution of the singular values is examined in the cases where a flaw exists and where there is no flaw present. A lower threshold on the singular values, specific to austenitic welds, is derived which, when exceeded, indicates the presence of a flaw. The detection criterion is successfully implemented on both synthetic and experimental data. The datasets arising from welds containing a flaw, are further interrogated using the decomposition of the time reversal operator (DORT) method and the total focussing method (TFM) and it is shown that images constructed via the DORT algorithm typically exhibit a higher signal to noise ratio than those constructed by the TFM algorithm.
KW - imaging algorithms
KW - austenitic welds
KW - flaw detection
UR - http://rspa.royalsocietypublishing.org/content/by/year
U2 - 10.1098/rspa.2015.0500
DO - 10.1098/rspa.2015.0500
M3 - Article
VL - 472
JO - Proceedings A: Mathematical, Physical and Engineering Sciences
JF - Proceedings A: Mathematical, Physical and Engineering Sciences
SN - 1364-5021
IS - 2188
ER -