Evaluation of Leak Probability in Pipes using P-PIE Program 


Vol. 32,  No. 6, pp. 1-8, Dec.  2017
10.14346/JKOSOS.2017.32.6.1


PDF
  Abstract

P-PIE is a program developed to estimate failure probability of pipes and pressure vessels considering fatigue and stress corrosion crack growth. Using the program, crack growth simulation was performed with an initially existing crack in order to examine the effects of initial crack depth distribution on the leak probability of pipes. In the simulation stress corrosion crack growth was considered and several crack depth distribution models were used. From the results it was found that the initial crack depth distribution gives great effect on the leak probability of pipes. The log-normal distribution proposed by Khaleel and Simonen gives lower leak probability compared other exponential distribution models. The effects of the number and the quality of pre-service and in-service inspections on the leak probability were also examined and it was recognized that the number and the quality of pre-service and in-service inspections are also give great effect on the leak probability. In order to reduce the leak probability of pipes in plants it is very important to improve the quality of inspections. When in-service inspection is performed every 10 years and the quality of inspection is above the very good level, the leak probability shows nearly constant value after the first inspection for an initially existing crack.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

박재학 and 신창현, "Evaluation of Leak Probability in Pipes using P-PIE Program," Journal of the Korean Society of Safety, vol. 32, no. 6, pp. 1-8, 2017. DOI: 10.14346/JKOSOS.2017.32.6.1.

[ACM Style]

박재학 and 신창현. 2017. Evaluation of Leak Probability in Pipes using P-PIE Program. Journal of the Korean Society of Safety, 32, 6, (2017), 1-8. DOI: 10.14346/JKOSOS.2017.32.6.1.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

pISSN : 1229 - 9197
eISSN : 1875 - 0052

Impact Factor(2022): 2.5