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dc.contributorDepartment of Building Services Engineeringen_US
dc.contributor.advisorHuang, Xinyan (BSE)en_US
dc.creatorPeng, Cheng-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/11270-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic Universityen_US
dc.rightsAll rights reserveden_US
dc.titleNumerical validation of empirical fire plume models and smoke profileen_US
dcterms.abstractFire plume models are widely used in the field of fire protection design, but those empirical correlations (e.g., mass flow rate) applied in the model were only derived based on small-scale experiments. Although substantial quantities of numerical simulations were conducted to validate these empirical correlations, they mainly focused on the small-scale test results but rarely verify the extrapolated large-scale values. Herein, numerical simulations via FDS were performed to validate the extrapolated large-scale data about mass flow rate from the classical fire plume model with fire sizes from 300 kW to 1,000 kW and heights from 2.5 m to 12 m. This research revealed that the empirical correlations for mass flow rates were not applicable to large-scale fires. Moreover, turbulent flow at lower level height dragged more ambient air into the plume, thus it might cause the error between the simulation results and empirical correlation curves. We also found that the curves of the simulation result demonstrated that the mass flow rate was proportional to the height of the measuring point, while empirical correlations are power-exponent equations. This research not only discusses the fire behavior of fire plume but also helps to understand the limitations of the fire plume model, as well as pointing the way for further model revision.en_US
dcterms.extentx, 70 pages : color illustrationsen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2021en_US
dcterms.educationalLevelM.Eng.en_US
dcterms.educationalLevelAll Masteren_US
dcterms.LCSHFireen_US
dcterms.LCSHFlameen_US
dcterms.LCSHFire preventionen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/11270