The characteristics of planar defects (no loss of material volume) that arise during industrial plant operation are difficult to predict in detail, yet these can affect the performance of non-destructive testing (NDT) used to manage plant structural integrity. Inspection modelling is increasingly used to design and assess ultrasonic inspections of such plant items. While modelling of smooth planar defects is relatively mature and validated, issues have remained in the treatment of rough planar defect species. The qualification of ultrasonic inspections for such defects is presently very conservative, owing to the uncertainty of the amplitudes of rough surface reflections. Pragmatic solutions include the addition of large sensitivity thresholds and more frequent inspection intervals, which require more plant downtime. In this article, an alternative approach has been developed by the authors to predict the expected surface reflection from a rough defect using a theoretical statistical model. Given only the frequency, angle of incidence and two statistical parameter values used to characterise the defects, the expected reflection amplitude is obtained rapidly for any scattering angle and size of defect, for both compression and shear waves. The method is applicable for inspections of isotropic media that feature surface reflections such as pulse-echo or pitch-catch, rather than for tip signal-dependent techniques such as time-of-flight diffraction. The potential impact for inspection qualification is significant, with the new model predicting increases of up to 20 dB in signal amplitude in comparison with models presently used in industry. All mode conversions are included and rigorous validations using numerical and experimental methods have been performed. The model has been instrumental in obtaining new statistically significant results related to the effect of tilt; the expected pulse-echo backscattered amplitude for very rough planar defects is independent of tilt angle, with convergence obtained fora range of frequencies.
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Korea Res Inst Standard & Sci, Ctr Safety Measurernent, Daejeon, South KoreaKorea Res Inst Standard & Sci, Ctr Safety Measurernent, Daejeon, South Korea
Choi, Wonjae
Shi, Fan
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Imperial Coll London, Dept Mech Engn, London, EnglandKorea Res Inst Standard & Sci, Ctr Safety Measurernent, Daejeon, South Korea
Shi, Fan
Lowe, Michael J. S.
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Imperial Coll London, Dept Mech Engn, London, EnglandKorea Res Inst Standard & Sci, Ctr Safety Measurernent, Daejeon, South Korea
Lowe, Michael J. S.
Skelton, Elizabeth A.
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Imperial Coll London, Dept Math, London, EnglandKorea Res Inst Standard & Sci, Ctr Safety Measurernent, Daejeon, South Korea
Skelton, Elizabeth A.
Craster, Richard V.
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Imperial Coll London, Dept Math, London, EnglandKorea Res Inst Standard & Sci, Ctr Safety Measurernent, Daejeon, South Korea
Craster, Richard V.
Daniels, William L.
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Wood Plc, Aberdeen, ScotlandKorea Res Inst Standard & Sci, Ctr Safety Measurernent, Daejeon, South Korea
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Korea Res Inst Standard & Sci, Ctr Safety Measurernent, Daejeon, South KoreaKorea Res Inst Standard & Sci, Ctr Safety Measurernent, Daejeon, South Korea
Choi, Wonjae
Shi, Fan
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机构:
Imperial Coll London, Dept Mech Engn, London, EnglandKorea Res Inst Standard & Sci, Ctr Safety Measurernent, Daejeon, South Korea
Shi, Fan
Lowe, Michael J. S.
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h-index: 0
机构:
Imperial Coll London, Dept Mech Engn, London, EnglandKorea Res Inst Standard & Sci, Ctr Safety Measurernent, Daejeon, South Korea
Lowe, Michael J. S.
Skelton, Elizabeth A.
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h-index: 0
机构:
Imperial Coll London, Dept Math, London, EnglandKorea Res Inst Standard & Sci, Ctr Safety Measurernent, Daejeon, South Korea
Skelton, Elizabeth A.
Craster, Richard V.
论文数: 0引用数: 0
h-index: 0
机构:
Imperial Coll London, Dept Math, London, EnglandKorea Res Inst Standard & Sci, Ctr Safety Measurernent, Daejeon, South Korea
Craster, Richard V.
Daniels, William L.
论文数: 0引用数: 0
h-index: 0
机构:
Wood Plc, Aberdeen, ScotlandKorea Res Inst Standard & Sci, Ctr Safety Measurernent, Daejeon, South Korea