Show simple item record

dc.contributor.authorMemon, Shabbir
dc.contributor.authorMohammed, Obaidur Rahman
dc.contributor.authorRoozbahani, Hamid
dc.contributor.authorLankarani, Hamid M.
dc.date.accessioned2018-04-24T19:19:15Z
dc.date.available2018-04-24T19:19:15Z
dc.date.issued2017
dc.identifier.citationMemon S, Mohammed O, Roozbahani H, Lankarani HM. Predicting the Failure Probability and Reliability Based Design, Optimization for Pipelines. ASME International Mechanical Engineering Congress and Exposition, Volume 11: Systems, Design, and Complexity ():V011T15A010en_US
dc.identifier.isbn978-0-7918-5846-2
dc.identifier.otherWOS:000428711400010
dc.identifier.urihttp://dx.doi.org/10.1115/IMECE2017-71972
dc.identifier.urihttp://hdl.handle.net/10057/14969
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractA probabilistic model is developed in this study for calculating the failure probability and finding the associated reliability for a given pipeline in a plant affected by the time-dependent failure by corrosion. This is accomplished by applying a probabilistic approach to the Shell-92 pipeline failure prediction model. The Monte Carlo simulation scheme is used to predict the probability of failure. The life cycle cost is also estimated based on predicted probability density function, which shows that failure cost is dominating the maintenance cost in overall life cycle cost. A sensitivity analysis is also carried out to investigate the influence of corrosion parameters on the probability of failure which reflects the effect of axial-radial corrosion rates and depth-length of corrosion defect on failure probability. At the end, optimized corrosion rates are also predicted using the reliability based design and optimization (RBDO) technique, in which the probabilistic constraint has been utilized based on the Shell-92 pipeline failure prediction model.en_US
dc.language.isoen_USen_US
dc.publisherASMEen_US
dc.relation.ispartofseriesASME International Mechanical Engineering Congress and Exposition;v.11
dc.subjectStructural optimizationen_US
dc.subjectCorrosion defectsen_US
dc.subjectGas-pipelinesen_US
dc.subjectSubjecten_US
dc.subjectOilen_US
dc.titlePredicting the failure probability and reliability based design, optimization for pipelinesen_US
dc.typeConference paperen_US
dc.rights.holder© 2017 by ASMEen_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record