Failure Probability Estimation of Long Pipeline

Liyang Xie, Zheng Wang, Guangbo Hao and Mingchuan Zhang
Additional contact information
Liyang Xie: Northeastern University
Zheng Wang: Northeastern University
Guangbo Hao: Northeastern University
Mingchuan Zhang: Northeastern University

Chapter 11 in Recent Advances in Reliability and Quality in Design, 2008, pp 239-251 from Springer

Abstract: Abstract It is well known that, for the majority of pressurized pipelines, both the load and the resistance parameters show evident uncertainty, and a probabilistic approach should be applied to assess their behaviors. Concerning reliability estimation of passive components such as pressure vessel and pipeline, there are two kinds of approaches – direct estimation using statistics of historical failure event data, and indirect estimation using probabilistic analysis of the failure phenomena of consideration. The direct estimation method can be validated relatively easily. However, it suffers statistical uncertainty due to scarce data. Indirect estimation method relies on the statistics of material property and those of environment load which are more readily available. As to systems composed of passive components, statistical dependence among component failures is a complex issue that cannot be ignored in reliability estimation.

Keywords: Failure Probability; Series System; Component Failure; Probabilistic Risk Assessment; Failure Dependence (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-1-84800-113-8_11

Ordering information: This item can be ordered from
http://www.springer.com/9781848001138

DOI: 10.1007/978-1-84800-113-8_11

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().