Galea, Edwin ORCID: 0000-0002-0001-6665 and Hoffmann, Nicole (1997) Using mathematical models to predict the development of aircraft cabin fires. In: Aircraft Fire Safety. AGARD Conference Proceedings, CP-587 . North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development, London, UK, 7.1-7.12. ISBN 9283600460 ISSN 0549-7191

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Abstract

Computer based mathematical models describing aircraft fire have a role to play in the design and development of safer aircraft, in the implementation of safer and more rigorous certification criteria and in post mortuum accident investigation. As the cost involved in performing large-scale fire experiments for the next generation 'Ultra High Capacity Aircraft' (UHCA) are expected to be prohibitively high, the development and use of these modelling tools may become essential if these aircraft are to prove a safe and viable reality. By describing the present capabilities and limitations of aircraft fire models, this paper will examine the future development of these models in the areas of large scale applications through parallel computing, combustion modelling and extinguishment modelling.

Item Type:	Conference Proceedings
Title of Proceedings:	Aircraft Fire Safety
Additional Information:	[1] This paper was first presented at the AGARD Propulsion and Energetics Panel (PEP) 88th Symposium on Aircraft Fire Safety held from 14-17 October 1996 in Dresden, Germany.
Uncontrolled Keywords:	evacuation modelling, aircraft, fire modelling, computer models
Subjects:	Q Science > QA Mathematics > QA76 Computer software 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 School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:	Organisation
Last Modified:	14 Oct 2016 09:00
URI:	http://gala.gre.ac.uk/id/eprint/483

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