Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/92135
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dc.contributorDepartment of Building Environment and Energy Engineering-
dc.creatorXi, Y-
dc.creatorDong, X-
dc.creatorChow, W-
dc.date.accessioned2022-02-08T02:18:12Z-
dc.date.available2022-02-08T02:18:12Z-
dc.identifier.issn0354-9836-
dc.identifier.urihttp://hdl.handle.net/10397/92135-
dc.language.isoenen_US
dc.publisherVinča Institute of Nuclear Sciencesen_US
dc.rights© 2021 Society of Thermal Engineers of Serbiaen_US
dc.rightsThis is an open access article distributed under the CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) terms and conditionsen_US
dc.rightsThe following publication Xi, Y., Dong, X., & Chow, W. (2021). Numerical simulation on temperature in wood crib fires. Thermal Science, 25(4 Part A), 2621-2636 is available at https://doi.org/10.2298/TSCI180818288Xen_US
dc.subjectCFDen_US
dc.subjectFlammability diagramen_US
dc.subjectGaseous phase sensitivityen_US
dc.subjectWood crib firesen_US
dc.titleNumerical simulation on temperature in wood crib firesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2621-
dc.identifier.epage2636-
dc.identifier.volume25-
dc.identifier.issue4-
dc.identifier.doi10.2298/TSCI180818288X-
dcterms.abstractTemperature from burning wood cribs will be simulated in this paper by sub-grid scale model in fire dynamics simulator. A baseline gas phase uncertainty is determined for simulating wood crib fire spread scenarios. This uncertainty is based on a sensitivity analysis of key input parameters and their subsequent effect on key output variables that are important for fire spread. Effects of different grid systems, computing domains and moisture contents on the predictions were studied first and then used to study the gaseous phase sensitivity. The gaseous phase input variables considered are: Smagorinsky constant, Prandtl number, and Schmidt number. The results show that the predictions for temperature have good agreement with experiment with the values of 0.25, 0.7, 0.4, and 5 for Smagorinsky constant, turbulent Schmidt number, and turbulent Prandtl number, respectively.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationThermal science, 2021, v. 25, no. 4, pt. A, p. 2621-2636-
dcterms.isPartOfThermal science-
dcterms.issued2021-
dc.identifier.scopus2-s2.0-85111532559-
dc.identifier.artnpt. A-
dc.description.validate202202 bcvc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe work described in this paper was partially supported by Research Grants Council of the Hong Kong Special Administrative Region, China for the project A study on powder explosion hazards and control schemes when clouds of coloured powder are sprayed in partially confined areas (Project No. PolyU 15252816) with account number B-Q53X, and partially supported by the Fundamental Research Funds for the Central Universities (Grant No. 2019JBM087) and Natural Science Foundation of China (Grant No. 52072027) with funding granted to Dr Y. H. Xi.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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