Print Email Facebook Twitter A dynamic condition assessment model of aging subsea pipelines subject to corrosion-fatigue degradation Title A dynamic condition assessment model of aging subsea pipelines subject to corrosion-fatigue degradation Author Han, Ziyue (Xi'an University of Architecture and Technology) Li, Xinhong (Xi'an University of Architecture and Technology) Zhang, Renren (Xi'an University of Architecture and Technology) Yang, M. (TU Delft Safety and Security Science) Seghier, Mohamed El Amine Ben (OsloMet – storbyuniversitetet) Date 2023 Abstract Extension of operating lifetime of aging subsea pipelines is of great interest to oil and gas sectors. Corrosion and fatigue are the main causations of the condition degradation of subsea pipelines. A dynamic probabilistic condition assessment model based on continuous dynamic Bayesian network (DBN) is developed to support the life extension decision-making of aging subsea pipeline subjected to the corrosion-fatigue degradation. The methodology is built based on equivalent initial flaw size (EIFS) concept and a time-dependent prediction model implemented using DBN. The complex corrosion-fatigue degradation process is simplified by EIFS concept, and the crack propagation due to corrosion-fatigue is modelled using fracture mechanics model and DBN. A limit state function (LSF) is used to express the failure condition of subsea pipeline due to crack propagation. The dynamic reliability of subsea pipeline is estimated using Monte Carlo (MC) method with the probability distributions of the predicted crack sizes at different time slices. The estimated reliability is compared with the acceptable threshold to decide whether any measures are required to extend the life of subsea pipeline. The methodology is tested by a case study, and it is observed that it can be a useful tool to support life extension decision-making of aging subsea pipelines. Subject Ageing subsea pipelinesCondition assessmentCorrosion-fatigueEIFSLife extension To reference this document use: http://resolver.tudelft.nl/uuid:f5264de0-105d-4940-9416-604252f62af6 DOI https://doi.org/10.1016/j.apor.2023.103717 Embargo date 2024-02-29 ISSN 0141-1187 Source Applied Ocean Research, 139 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2023 Ziyue Han, Xinhong Li, Renren Zhang, M. Yang, Mohamed El Amine Ben Seghier Files PDF 1_s2.0_S0141118723002584_main.pdf 3.07 MB Close viewer /islandora/object/uuid:f5264de0-105d-4940-9416-604252f62af6/datastream/OBJ/view