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Reliability Analysis of UT Measurement for Evaluating Pipe Wall Thinning in Nuclear Power Plants
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  • Journal title : Corrosion Science and Technology
  • Volume 11, Issue 4,  2012, pp.129-134
  • Publisher : The Corrosion Science Society of Korea
  • DOI : 10.14773/cst.2012.11.4.129
 Title & Authors
Reliability Analysis of UT Measurement for Evaluating Pipe Wall Thinning in Nuclear Power Plants
Yun, Hun; Hwang, Kyeong-mo;
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 Abstract
UT(Ultrasonic Test), one of the non-destructive tests, is the most common thickness measurement method for evaluating the wear rate in NPPs(Nuclear Power Plants). UT is used widely because it is easy and safe for use. However some amount of error inevitably occurs in attempting to measure the thickness. The error, that could make the thickness data thicker or thinner, may affect estimation of wear rate in pipes. NPPs are composed of a lot of pipes and components. Some of them are tested to check the current status during RFO(Re-Fueling Outage). Reliability analysis of UT is essential for evaluating pipe wear rate and establishing the long-term management plan in NPPs. This paper reviewed the cause of error occurrence and presented the UT data reliability analysis method. Also, this paper shows the application result of reliability analysis to the UT data acquired in NPPs.
 Keywords
UT measurement;wall thinning;error;reliability;wear rate;
 Language
Korean
 Cited by
1.
원전 배관의 반복 측정 데이터에 대한 신뢰도 분석 방법,윤훈;황경모;

Corrosion Science and Technology, 2013. vol.12. 3, pp.142-148 crossref(new window)
1.
Reliability Analysis Method for Repeated UT Measurement Data in Nuclear Power Plants, Corrosion Science and Technology, 2013, 12, 3, 142  crossref(new windwow)
2.
Method and Application for Reliability Analysis of Measurement Data in Nuclear Power Plant, Corrosion Science and Technology, 2015, 14, 1, 33  crossref(new windwow)
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2.
K. M. Hwang, T. E. Jin, S. H. Lee, "Wall Thinning Analysis for Secondary Side Piping of Domestic NPPs using CHECWORKS Code", Proceedings of the Korean Society of Mechanical Engineers, 1, 807 (2001)

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Jeffrey Horowitz, "Guidelines for Plant Modeling and Evaluation of Component Inspection Data", EPRI 1009599, p. 4-1 (2004).

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Jeffrey Horowitz, "Statistical Methods for Analysis of Multiple-Inspection Flow-Accelerated Corrosion Data", EPRI 1019175, p. 3.3 (2011).