Reliability Analysis of Hydrogen Bubble Defects in Gas Pipeline Based on Big Data
Title
Reliability Analysis of Hydrogen Bubble Defects in Gas Pipeline Based on Big Data
Subject
Hydrogen
Pipelines
Decision making
Big data
Defects
Reliability analysis
Data mining
Normal distribution
Distribution functions
Description
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. 2019 IEEE.
230-234
Creator
Zhang, Qimin
Chen, Ning
Publisher
18th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2019, July 23, 2019 - July 25, 2019
Date
2019
Type
conferencePaper
Identifier
10.1109/ICCICC46617.2019.9146096
URL
http://dx.doi.org/10.1109/ICCICC46617.2019.9146096
Citation
Zhang, Qimin and Chen, Ning, “Reliability Analysis of Hydrogen Bubble Defects in Gas Pipeline Based on Big Data,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/28746.