Repository logo
Communities & Collections
All of DSpace
  • English
  • العربية
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Smati, Abdelnacer"

Filter results by typing the first few letters
Now showing 1 - 3 of 3
  • Results Per Page
  • Sort Options
  • No Thumbnail Available
    Item
    Intrinsic availability assessment of aged gas transmission pipeline using bayesian update and stochastic process modeling
    (Elsevier, 2017) Younsi, Karim; Smati, Abdelnacer
  • No Thumbnail Available
    Item
    Intrinsic availability assessment of aged gas transmission pipeline using bayesian update and stochastic process modeling
    (Elsevier, 2017) Younsi, Karim; Smati, Abdelnacer
  • No Thumbnail Available
    Item
    Pipeline integrity assessment using probabilistic transformation method and corrosion growth modeling through gamma distribution
    (2013) Younsi, Karim; Chebouba, Ammar; Zemmour, Nordine; Smati, Abdelnacer
    This paper presents a methodology to estimate the probability of failure of every individual corrosion defect and the residual likelihood of failure of an overall corroded pipeline segment after selected repairs, using structural probabilistic analysis based on the assumption of a stationary gamma distribution of the corrosion process. Metal loss size is taken as the load condition, and the allowable depth of the defect is taken as the resistance condition. The load condition is obtained applying the probabilistic transformation method (PTM) and the resistance condition is obtained through Monte Carlo simulation. Using inspection data collected on a gas pipeline segment pigged two times, results of the suggested methodology are compared with those obtained by a classical approach based on a Gaussian distribution. It is determined that the use of the Gaussian model overestimates for a short time horizon after inspection of the failure probability, and suggests many useless repairs. The model developed in this paper instead uses a more rigorous estimation of failure probability and a significant reduction of maintenance costs

DSpace software copyright © 2002-2026 LYRASIS

  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify