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dc.contributor.advisorSævik, Svein
dc.contributor.authorPark, Seoyeon
dc.date.accessioned2016-08-26T14:01:08Z
dc.date.available2016-08-26T14:01:08Z
dc.date.created2016-06-10
dc.date.issued2016
dc.identifierntnudaim:14275
dc.identifier.urihttp://hdl.handle.net/11250/2402233
dc.description.abstractPipelines are essential units as a energy transportation method nowadays. Buckling behaviors have been recognized as majority because it can cause sudden disconnection of pipelines and this may lead the pipeline to difficulties such as rupture (\cite{book1}). Moreover, for exposed pipelines on the sea floor, global buckling is the major phenomenon observed (\cite{hong}). Global buckling has sensitivity of several features which are pressure, temperature, embedment, pipe-soil interaction, initial pipeline configuration, and etc. An issue is that vulnerable hydrocarbon is exposed to high temperature and pressure under the deep sea (\cite{book1}). In order to operate the oil and gas transportation safely, therefore, pipelines eventually face challenges. Many researchers have previously discussed about pipe-soil interaction, and proposed soil force-displacement models such as Mohr-Coulomb model, DNV model, PONDUS model, and SAFEBUCK model. The scope of this paper is to analyse the global buckling response from different interaction models along with parametric studies. The founding shows that geology data of the foundation has a strong correlation with global buckling more than typical stochastic data. On the other hand the stochastic data has an influences on stabilization of moments, which affect initial design layout for simulations determining length of the operation simulation time. As representative soil models, Coulomb model and DNV model which soil berm formation algorithm under cyclic loading is implemented into, are compared. The DNV model displays conservative resultants in certain extend.
dc.languageeng
dc.publisherNTNU
dc.subjectMarine Technology, Marine Structures
dc.titleGlobal buckling of pipelines - A study on different soil models
dc.typeMaster thesis
dc.source.pagenumber107


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