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dc.contributor.authorTadej, Holler
dc.contributor.authorKomen, Ed M. J.
dc.contributor.authorIvo, Kljenak
dc.date.accessioned2019-02-28T11:05:44Z
dc.date.available2019-02-28T11:05:44Z
dc.date.copyright5/16/2018 12:00:00 AM
dc.date.issued2018
dc.identifier.issn2332-8983
dc.identifier.otherners_004_03_031009.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4252616
dc.description.abstractThe paper presents the computational fluid dynamics (CFD) combustion modeling approach based on two combustion models. This modeling approach was applied to a hydrogen deflagration experiment conducted in a large-scale confined experimental vessel. The used combustion models were Zimont's turbulent flame-speed closure (TFC) model and Lipatnikov's flame-speed closure (FSC) model. The conducted simulations are aimed to aid identifying and evaluating the potential hydrogen risks in nuclear power plant (NPP) containment. The simulation results show good agreement with experiment for axial flame propagation using the Lipatnikov combustion model. However, substantial overprediction in radial flame propagation is observed using both combustion models, which consequently results also in overprediction of the pressure increase rate and overall combustion energy output. As assumed for a large-scale experiment without any turbulence inducing structures, the combustion took place in low-turbulence regimes, where the Lipatnikov combustion model, due to its inclusion of quasi-laminar source term, has advantage over the Zimont model.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleHydrogen–Air–Steam Deflagration Experiment Simulated Using Different Turbulent Flame-Speed Closure Models
dc.typeJournal Paper
dc.journal.volume4
dc.journal.issue3
dc.journal.titleJournal of Nuclear Engineering and Radiation Science
dc.identifier.doi10.1115/1.4039067
dc.journal.fristpage31009
dc.journal.lastpage031009-6
dc.treeJournal of Nuclear Engineering and Radiation Science:;2018:;volume( 004 ):;issue: 003
dc.contenttypeFulltext


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