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Investigating an assessment model of system oil leakage considering failure dependence.
Qin, Guojin; Zhang, Peng; Wang, Yihuan.
  • Qin G; School of Mechatronic Engineering, Southwest Petroleum University, Chengdu, 610500, Sichuan, China. guojin.qin@ucalgary.ca.
  • Zhang P; Department of Mechanical Engineering, University of Calgary, Calgary, Alberta, T2N 1N4, Canada. guojin.qin@ucalgary.ca.
  • Wang Y; School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu, 610500, Sichuan, China.
Environ Sci Pollut Res Int ; 27(32): 40075-40087, 2020 Nov.
Article en En | MEDLINE | ID: mdl-32656758
Corrosion has made petrochemical infrastructure becomes a significant hazard of the surrounding environment. It is an excellent approach to reduce the risk of environmental pollution by improving the accuracy of determining the leakage probability of the equipment system. In this work, a reliability-based methodology was proposed to assess the system leakage probability with multiple pipe segments under the common cause failure (CCF). Specifically, the existence of FD between the pipe segments was examined under the CCF so that a system leakage assessment model was developed considering the FD. Thereby a novelty corrosion-induced leakage risk management framework was developed. After leakage evaluation for an oil pipeline, it was found that the results obtained were too conservative if ignoring FD, which will develop a wasteful maintenance plan. Overall, the findings in this work may be an opportunity for managers to improve maintenance efficiency.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Contaminación Ambiental Tipo de estudio: Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Contaminación Ambiental Tipo de estudio: Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Article