Author:
Ma Haonan,Zhang Weidong,Wang Yao,Ai Yibo,Zheng Wenyue
Funder
Beijing Municipal Science and Technology Commission
Fundamental Research Funds for the Central Universities
Special Project for Research and Development in Key areas of Guangdong Province
Southern Marine Science and Engineering Guangdong Laboratory
Subject
Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering
Reference168 articles.
1. (EGIG), E.G.P.I.D.G., 2020. 11th Report of the European Gas Pipeline Incident Data Group (Period 1970–2019). European Gas Pipeline Incident Data Group (EGIG), https://www.egig.eu/reports.
2. ASTM G46–94. (2005). Standard guide for examination and evaluation of pitting corrosion. ASTM International.
3. Neural network modelling of high pressure CO2 corrosion in pipeline steels;Abbas;Process Saf. Environ. Prot.,2018
4. Quantitative assessment of failure probability of underground natural gas storage wells using an integrated bow-tie bayesian network approach;Agarwal;J. Fail. Anal. Prev.,2021
5. Probabilistic analysis of underground pipelines subject to combined stresses and corrosion;Ahammed;Eng. Struct.,1997
Cited by
40 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献