DOI QR코드

DOI QR Code

Development of Numerical Algorithm of Total Point Method for Thinning Evaluation of Nuclear Secondary Pipes

원전 2차측 배관 감육여부 판별을 위한 Total Point Method 전산 알고리즘 개발

  • 오영진 (한국전력기술(주) 미래전력기술연구소) ;
  • 윤훈 (한국전력기술(주) 재료기술그룹) ;
  • 문승재 (한양대학교 기계공학부) ;
  • 한경희 (서울대학교 통계학과) ;
  • 박병욱 (서울대학교 통계학과)
  • Received : 2015.11.04
  • Accepted : 2015.12.07
  • Published : 2015.12.30

Abstract

Pipe wall-thinning by flow-accelerated corrosion (FAC) and various types of erosion is a significant and costly damage phenomenon in secondary piping systems of nuclear power plants (NPPs). Most NPPs have management programs to ensure pipe integrity due to wall-thinning that includes periodic measurements for pipe wall thicknesses using ultrasonic tests (UTs). Nevertheless, thinning evaluations are not easy because the amount of thickness reduction being measured is often quite small compared to the accuracy of the inspection technique. U.S. Electric Power Research Institute (EPRI) had proposed Total Point Method (TPM) as a thinning occurrence evaluation method, which is a very useful method for detecting locally thinned pipes or fittings. However, evaluation engineers have to discern manually the measurement data because there are no numerical algorithm for TPM. In this study, numerical algorithms were developed based on non-parametric and parametric statistical method.

Keywords

References

  1. Electric Power Research Institute (EPRI), 2002, "Flow Accelerated Corrosion in Power Plants", TR-106611-R1.
  2. Electric Power Research Institute (EPRI), 1998, "Thinning of Pipe Walls in Nuclear Power Plants (NP-6066)", Utility Response to NRC Bulletin 87-01.
  3. Electric Power Research Institute (EPRI), 2010, "Mentoring Guide for Flow-Accelerated Corrosion Engineers", TR-1022295.
  4. Electric Power Research Institute (EPRI), 2013, "Recommendations for an Effective Flow-Accelerated Corrosion Program (NSAC-202L-R4)", TR-3002000563.
  5. J.S. Horowitz, 2009, "Statistical Methods for the Analysis of Multiple-Inspection Flow-Accelerated Corrosion Data", EPRI report 1019175.
  6. Wikipedia, "Multimodal distribution", https://en.wikipedia.org
  7. HARTIGAN, J. A. and HARTIGAN, P. M., 1985, "The dip test of unimodality", The Annals of Statistics, 13 70.84. https://doi.org/10.1214/aos/1176346577
  8. MINNOTTE, M. C., 1997, "Nonparametric testing of the existence of modes", The Annals of Statistics, 25 1646.1660. https://doi.org/10.1214/aos/1031594735
  9. SILVERMAN, B. W., 1981, "Using kernel density estimates to investigate multimodality", Journal of the Royal Statistical Society. Series B, 43 97.99.
  10. 박흥배 등, 2014, "배관 두께 측정자료의 불확실성을 고려한 감육속도 최적 평가법 개발", 한국전력기술(주) 기술개발과제 보고서.
  11. Hun Yun, Young-Jin Oh and Seung-Jae Moon, 2015, "Development of wall-thinning evaluation procedure for nuclear power plant piping-Part 1 : Quantification of thickness measurement deviation", Submitted to Nuclear Engineering and Technology.