A study of reliability assessment for gas transmission pipeline system
碩士 === 國立海洋大學 === 機械與輪機工程學系 === 85 === Gas transmission pipeline system was designed very conservativelydue to the server losses of lives and properties after fracture failure.In order to evaluate the conservatism of safety margins of a...
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ndltd-TW-085NTOU04910162015-10-13T18:05:36Z http://ndltd.ncl.edu.tw/handle/09654378085228492112 A study of reliability assessment for gas transmission pipeline system 天然氣輸送管線系統可靠度評估之研究 Wu, sung quwn 吳松錕 碩士 國立海洋大學 機械與輪機工程學系 85 Gas transmission pipeline system was designed very conservativelydue to the server losses of lives and properties after fracture failure.In order to evaluate the conservatism of safety margins of a pipeline system, the well-developed modern engineering reliability analyses wereused instead of traditional statistics methodology.The objective of thisstudy was to have a quantitative reliability analysis of transmission pipeline system by using probabilistic fracture mechanics approachwhere ductile pipe fracture mechanics models were developed. Two probabilistic fracture mechanics models for(1)leak and (2)leakand break failures had been developed respectively; the reliability ofgas transmission pipeline system was estimated by Monte Carlo Simulationmethod First-Order-Second-Moment method. The results showed that both MCS method and FOSM method couldbe applied satisfactorily ,and also showed the inappropriateness by a traditional statistic's analysis for a scarce data.Sensitivity analyses were processed to show that the major uncertaintyresided on defect size,and the most influential failure mode on reliabilitywas leak that indicated the key strategy on failure prevention.To the conclusion,a raise of design factor of stress ratio to 0.6 will still maintain the pipe integrity in a conservative condition. Chao. Yu-Shing 趙玉星 1997 學位論文 ; thesis 50 zh-TW |
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碩士 === 國立海洋大學 === 機械與輪機工程學系 === 85 === Gas transmission pipeline system was designed very
conservativelydue to the server losses of lives and properties
after fracture failure.In order to evaluate the conservatism of
safety margins of a pipeline system, the well-developed modern
engineering reliability analyses wereused instead of traditional
statistics methodology.The objective of thisstudy was to have a
quantitative reliability analysis of transmission pipeline
system by using probabilistic fracture mechanics approachwhere
ductile pipe fracture mechanics models were developed. Two
probabilistic fracture mechanics models for(1)leak and
(2)leakand break failures had been developed respectively; the
reliability ofgas transmission pipeline system was estimated by
Monte Carlo Simulationmethod First-Order-Second-Moment method.
The results showed that both MCS method and FOSM method couldbe
applied satisfactorily ,and also showed the inappropriateness by
a traditional statistic's analysis for a scarce data.Sensitivity
analyses were processed to show that the major
uncertaintyresided on defect size,and the most influential
failure mode on reliabilitywas leak that indicated the key
strategy on failure prevention.To the conclusion,a raise of
design factor of stress ratio to 0.6 will still maintain the
pipe integrity in a conservative condition.
|
author2 |
Chao. Yu-Shing |
author_facet |
Chao. Yu-Shing Wu, sung quwn 吳松錕 |
author |
Wu, sung quwn 吳松錕 |
spellingShingle |
Wu, sung quwn 吳松錕 A study of reliability assessment for gas transmission pipeline system |
author_sort |
Wu, sung quwn |
title |
A study of reliability assessment for gas transmission pipeline system |
title_short |
A study of reliability assessment for gas transmission pipeline system |
title_full |
A study of reliability assessment for gas transmission pipeline system |
title_fullStr |
A study of reliability assessment for gas transmission pipeline system |
title_full_unstemmed |
A study of reliability assessment for gas transmission pipeline system |
title_sort |
study of reliability assessment for gas transmission pipeline system |
publishDate |
1997 |
url |
http://ndltd.ncl.edu.tw/handle/09654378085228492112 |
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