Resilience assessment of a subsea pipeline using dynamic Bayesian network-Reference-Cited by-同舟云学术

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Resilience assessment of a subsea pipeline using dynamic Bayesian network

Published:2022-06 Issue:2 Volume:2 Page:100053
ISSN:2667-1433
Container-title:Journal of Pipeline Science and Engineering
language:en
Short-container-title:Journal of Pipeline Science and Engineering

Author:

Yazdi Mohammad^ORCID,Khan Faisal^ORCID,Abbassi Rouzbeh,Quddus Noor^ORCID

Funder

Genome Canada

Publisher

Elsevier BV

Subject

Materials Chemistry

Reference123 articles.

1. Storm sewer pipe renewal planning considering deterioration, climate change, and urbanization: a dynamic Bayesian network and GIS framework;Abebe;Sustain. Resilient Infrastruct.,2020

2. Resilience modeling of engineering systems using dynamic object-oriented Bayesian network approach;Abimbola;Comput. Ind. Eng.,2019

3. ZBWM: the Z-number extension of best worst method and its application for supplier development;Aboutorab;Expert Syst. Appl.,2018

4. Introducing the extended safety fractal: reusing the concept of safety management systems to organize resilient organizations;Accou;Int. J. Environ. Res. Public Health,2020

5. Operational safety assessment of offshore pipeline with multiple MIC defects;Adumene;Comput. Chem. Eng.,2020

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