Comparison of approaches for estimating pipe rupture frequencies for risk-informed in-service inspections

Kaisa Simola (Corresponding Author), Urho Pulkkinen, Päivi Karjalainen-Roikonen, Arja Saarenheimo

Research output: Contribution to journalArticleScientificpeer-review

14 Citations (Scopus)

Abstract

This paper describes the comparative study of two approaches to estimate pipe leak and rupture frequencies for piping. One method is based on a probabilistic fracture mechanistic model while the other one is based on statistical estimation of rupture frequencies from a large database. In order to be able to compare the approaches and their results, the rupture frequencies of some selected welds have been estimated using both of these methods. This paper highlights the differences both in methods, input data, need and use of plant specific information and need of expert judgement. The study focuses on one specific degradation mechanism, namely the intergranular stress corrosion cracking. This is the major degradation mechanism in old stainless steel piping in BWR environment, and its growth is influenced by material properties, stresses and water chemistry.
Original languageEnglish
Pages (from-to)65 - 74
Number of pages10
JournalReliability Engineering and System Safety
Volume84
Issue number1
DOIs
Publication statusPublished - 2004
MoE publication typeA1 Journal article-refereed

Fingerprint

Inspection
Pipe
Degradation
Stress corrosion cracking
Materials properties
Welds
Stainless steel
Water

Keywords

  • risk-informed in-service inspection
  • fracture mechanics
  • fracture
  • probabilistic fracture mechanics
  • pipe break frequencies
  • intergranular stress corrosion cracking
  • nuclear safety

Cite this

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title = "Comparison of approaches for estimating pipe rupture frequencies for risk-informed in-service inspections",
abstract = "This paper describes the comparative study of two approaches to estimate pipe leak and rupture frequencies for piping. One method is based on a probabilistic fracture mechanistic model while the other one is based on statistical estimation of rupture frequencies from a large database. In order to be able to compare the approaches and their results, the rupture frequencies of some selected welds have been estimated using both of these methods. This paper highlights the differences both in methods, input data, need and use of plant specific information and need of expert judgement. The study focuses on one specific degradation mechanism, namely the intergranular stress corrosion cracking. This is the major degradation mechanism in old stainless steel piping in BWR environment, and its growth is influenced by material properties, stresses and water chemistry.",
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Comparison of approaches for estimating pipe rupture frequencies for risk-informed in-service inspections. / Simola, Kaisa (Corresponding Author); Pulkkinen, Urho; Karjalainen-Roikonen, Päivi; Saarenheimo, Arja.

In: Reliability Engineering and System Safety, Vol. 84, No. 1, 2004, p. 65 - 74.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Simola, Kaisa

AU - Pulkkinen, Urho

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AU - Saarenheimo, Arja

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AB - This paper describes the comparative study of two approaches to estimate pipe leak and rupture frequencies for piping. One method is based on a probabilistic fracture mechanistic model while the other one is based on statistical estimation of rupture frequencies from a large database. In order to be able to compare the approaches and their results, the rupture frequencies of some selected welds have been estimated using both of these methods. This paper highlights the differences both in methods, input data, need and use of plant specific information and need of expert judgement. The study focuses on one specific degradation mechanism, namely the intergranular stress corrosion cracking. This is the major degradation mechanism in old stainless steel piping in BWR environment, and its growth is influenced by material properties, stresses and water chemistry.

KW - risk-informed in-service inspection

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KW - fracture

KW - probabilistic fracture mechanics

KW - pipe break frequencies

KW - intergranular stress corrosion cracking

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