한국공작기계학회:학술대회논문집 (Proceedings of the Korean Society of Machine Tool Engineers Conference)
- 한국공작기계학회 2003년도 춘계학술대회 논문집
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- Pages.73-78
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- 2003
IMPROVED POD METHODOLOGY USING MONTE CARLO SIMULATION
- Park, Ik-Keun (Seoul National University of Thechnology(SNUT)) ;
- Yoon, Jong-Hak (Mechanical Engineering, SNUT) ;
- Ro, Sing-Nam (Mechanical Engineering, SNUT) ;
- Seo, Seong-Won (Mechanical Engineering, SNUT) ;
- Namkoong, Chai-Kwan (School of Mechanical Design and Automation Engineering, SNUT)
- 발행 : 2003.04.01
초록
Ultrasonic measurement is one of important technologies in the lift-time maintenance of nuclear poler plant. Ultrasonic inspection system is consisted of the operator, equipment and procedure. The reliability of ultrasonic inspection system is affected by its ability. The performance demonstration round robin was conducted to quantify the capability of ultrasonic inspection for in-service. The small number of teams who employed procedures that met or exceeded ASME Sec. XI Code requirements detected the piping of nuclear power plant with various cracks to evaluate the capability of detection and sizing. In this paper, the statistical reliability assessment of ultrasonic nondestructive inspection data using Monte Carlo simulation is presented. The results of the probability of detection (POD) analysis using Monte Carlo simulation are compared to these of logistic probability model. In these results, Monte Carlo simulation was found to be very useful to the reliability assessment f3r the small hit/miss data sets.
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