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Computational fluid dynamics simulation of a post-crash aircraft fire test

Computational fluid dynamics simulation of a post-crash aircraft fire test

Wang, Zhaozhi, Jia, Fuchen, Galea, Edwin R. ORCID: 0000-0002-0001-6665 and Ewer, John (2013) Computational fluid dynamics simulation of a post-crash aircraft fire test. Journal of Aircraft, 50 (1). pp. 164-175. ISSN 0021-8669 (Print), 1533-3868 (Online) (doi:https://doi.org/10.2514/1.C031845)

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Abstract

In this paper the computational fluid dynamics fire-field model SMARTFIRE is used to simulate a full-scale aircraft-cabin fire test conducted within the U.S. Federal Aviation Administration furnished C-133 test facility in order to provide further validation for the software. The experiment involves exposing the interior cabin materials to an external fuel fire, noting the subsequent spread of the external fire to the cabin interior and the onset of flashover, which occurs at approximately 210 s. The computational fluid dynamics fire simulations presented in this study make use of a range of sophisticated sub-models including a flame-spread model, the eddy-dissipation model, a toxicity model, and a multi-ray radiation model. The models’ ability to simulate the fire conditions within the aircraft cabin is demonstrated through its ability to 1) reproduce the measured trends in temperatures and heat fluxes at the seat tops, 2) reproduce toxic gases concentrations at locations of interest, 3) provide a reasonable prediction of the time to flashover (220 s), and 4) produce reasonable agreement with the observed fire dynamics. The predicted time to flashover is shown to be sensitive to material properties such as ignition temperature of seat materials and not very sensitive to the cabin panel thickness.

Item Type: Article
Uncontrolled Keywords: Computational Fluid Dynamics, (CFD), SMARTFIRE, C-133 test, aircraft cabin, flashover, fire simulations
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
Related URLs:
Last Modified: 14 Oct 2016 09:23
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/9498

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