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- W3044992447 abstract "Based on the big data theory and data mining of gas pipeline failure history, the key factors determining the safety of pipeline system are found out, such as probability, function, time and prescribed conditions. Based on the reliability principle, the interference state of probability density distribution of stress and strength is analyzed, and the failure area of pipeline is obtained. Deviation coefficient and reliability coefficient are introduced to establish a reliability evaluation model for a hydrogen blistering defect in gas transmission pipelines, which is distinguished by normal distribution function. After variable replacement, the nonstandard normal distribution function can be transformed into the standard normal distribution function. Referring to the national unified standards for reliability design of building structures, and considering the failure characteristics and consequences of ductile failure of pipeline steel, the criteria for judging reliability of pipeline defects are reasonably determined. Taking the hydrogen bubbling defect of ZQ gas pipeline as an example, the reliability of single bubbling defect and adjacent bubbling defect with different sizes under yield strength and blasting pressure are calculated respectively, and the safety grade of pipeline is evaluated, which provides scientific decision-making basis for safe operation of pipeline." @default.
- W3044992447 created "2020-07-29" @default.
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- W3044992447 date "2019-07-01" @default.
- W3044992447 modified "2023-09-27" @default.
- W3044992447 title "Reliability Analysis of Hydrogen Bubble Defects in Gas Pipeline Based on Big Data" @default.
- W3044992447 cites W2071887671 @default.
- W3044992447 doi "https://doi.org/10.1109/iccicc46617.2019.9146096" @default.
- W3044992447 hasPublicationYear "2019" @default.
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