论文成果

首页 - 论文成果

New Modification Method for Safety Factor of ASME Considering Pipeline Big Data

摘要:Due to the potential severity of oil and gas pipeline accidents, the accurate assessment of defective pipelines is a critical focus in petroleum engineering. Some parameters in the assessment standards are, however, limited in their technologies. This essay provides a new modification method for the safety factor (SF) of the widely accepted ASME Manual for Determining the Remaining Strength of Corroded Pipelines (B31G-2012). In the provided method, the SF is modified considering critical factors based on pipeline big data, using two big data analysis techniques, namely, correlation analysis and the analytic hierarchy process (AHP), to improve the previous one in which only the pressure of the pipeline was used during calculation. In this paper, data from an in-service pipeline is manipulated as a case to show how the modified SF is calculated. Comparative analysis with the previous results provides clear evidence that the new results are more accurate and that the SF changes according to different risk levels.
© 2020 American Society of Civil Engineers.

ISSN号:1949-1190

卷、期、页:v 11,n 3,

发表日期:2020-08-01

期刊分区(SCI为中科院分区):四区

收录情况:SCI(科学引文索引印刷版),EI(工程索引),SCIE(科学引文索引网络版)

发表期刊名称:Journal of Pipeline Systems Engineering and Practice

通讯作者:张河苇,凌嘉瞳,冯淑璐

第一作者:董绍华,张来斌

论文类型:期刊论文

论文概要:张河苇,凌嘉瞳,董绍华,张来斌,冯淑璐,New Modification Method for Safety Factor of ASME Considering Pipeline Big Data,Journal of Pipeline Systems Engineering and Practice,2020,v 11,n 3,

论文题目:New Modification Method for Safety Factor of ASME Considering Pipeline Big Data

分享到:
分享到
×
分享到微信朋友圈
×
Scan me!