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Simulating one of the CIB W14 round robin test cases using the SMARTFIRE fire field model

Simulating one of the CIB W14 round robin test cases using the SMARTFIRE fire field model

Wang, Z. ORCID: 0000-0002-8986-0554, Jia, F. ORCID: 0000-0003-1850-7961, Galea, E.R. ORCID: 0000-0002-0001-6665, Patel, M.K. and Ewer, J. ORCID: 0000-0003-0609-272X (2001) Simulating one of the CIB W14 round robin test cases using the SMARTFIRE fire field model. Fire Safety Journal, 36 (7). pp. 661-677. ISSN 0379-7112 (doi:https://doi.org/10.1016/S0379-7112(01)00018-2)

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Abstract

Numerical predictions produced by the SMARTFIRE fire field model are compared with experimental data. The predictions consist of gas temperatures at several locations within the compartment over a 60 min period. The test fire, produced by a burning wood crib attained a maximum heat release rate of approximately 11MW. The fire is intended to represent a nonspreading fire (i.e. single fuel source) in a moderately sized ventilated room. The experimental data formed part of the CIB Round Robin test series. Two simulations are produced, one involving a relatively coarse mesh and the other with a finer mesh. While the SMARTFIRE simulations made use of a simple volumetric heat release rate model, both simulations were found capable of reproducing the overall qualitative results. Both simulations tended to overpredict the measured temperatures. However, the finer mesh simulation was better able to reproduce the qualitative features of the experimental data. The maximum recorded experimental temperature (12141C after 39 min) was over-predicted in the fine mesh simulation by 12%.
(C) 2001 Elsevier Science Ltd. All rights reserved.

Item Type: Article
Additional Information: [1] Available online 30 July 2001. [2] CMS Ref. No: 01/70.
Uncontrolled Keywords: fire modelling, CFD, validation, verification, mesh sensitivity, fire test
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TC Hydraulic engineering. Ocean engineering
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Mechanics & Reliability Group
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
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Last Modified: 03 Mar 2021 16:50
URI: http://gala.gre.ac.uk/id/eprint/478

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