Modification of the ASME Code Z-Factor for Circumferential Surface Crack in Nuclear Ferritic Pipings

원전 페라이트 배관내의 원주방향 표면균열에 대한 ASME Code Z-Factor의 수정

  • Park, Y. H. (Korea Institute of Nuclear Safety) ;
  • Y. K. Chung (Korea Institute of Nuclear Safety) ;
  • W. Y. Koh (Korea Institute of Nuclear Safety) ;
  • Lee, J. B. (Korea Institute of Nuclear Safety)
  • Published : 1996.04.01

Abstract

The purpose of this paper is to modify the ASME Code Z-Factor, which is used in the evaluation of circumferential surface crack in nuclear ferritic pipings. The ASME Code Z-Factor is a load multiplier to compensate plastic load with elasto-plastic load. The current ASME Code Z-Factor underestimates pipe maximum load. In this study, the original SC. TNP method is modified first because the original SC. TNP method has a problem that the maximum allowable load predicted from the original SC. TNP method is slightly higher than that measured from the experiment. Then the new Z-Factor is developed using the modified SC. TNP method. The desirability of both the modified SC. TNP method and the new Z-Factor is examined using the experimental results for the circumferential surface crack in pipings. The results show that (1) the modified SC. TNP method is good for predicting the circumferential surface crack behavior in pipings, and (2) the Z-Factor obtained from the modified SC. TNP method well predicts the behavior of circumferential surface crack in ferritic pipings.

이 연구의 목적은 원자력발전소 페라이트 배관에 존재하는 원주방향 표면균열을 평가하는데 사용되는 ASME Code Z-Factor를 수정하는데 있다. ASME Code Z-Factor는 소성하중을 탄소성하중으로 보정하는 하중 보정 계수로서, 현재 사용되는 ASME Code Z-Factor는 최대하중을 과소평가하는 문제점이 있다. 이 연구에서는 먼저 기존의 SC. TNP방법이 수정되었으며, 그 이유는 기존의 SC. TNP 방법으로 예측된 최대허용하중이 실험에서 측정된 방법보다 약간 큰 결과를 주는 문제가 있기 때문이다. 이 수정된 SC. TNP 방법을 사용하여 페라이트 배관에 대한 새로운 Z-Factor를 개발하였다. 수정된 SC. TNP 방법의 타당성 과 새로 개발된 Z-Factor의 타당성을 원주방향 표면균열을 갖는 배관에 대한 실험 결과를 통해 조사하였다. 평 가결과는 수정된 SC. TNP 방법은 페라이트 및 오스테나이트 배관의 원주 방향 표면균열의 거동을 잘 예측할 수 있음을 보여 주며, 또한 수정된 SC. TNP 방법으로 구한 새로운 Z-Factor는 페라이트 배관에 존재하는 원주방향 표면균열의 거동을 잘 예측할 수 있음을 보여준다.

Keywords

References

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