Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-25T05:03:22.795Z Has data issue: false hasContentIssue false

CFD fire simulation of the Swissair Flight 111 in-flight fire – Part II: Fire spread analysis

Published online by Cambridge University Press:  03 February 2016

F. Jia
Affiliation:
Fire Safety Engineering Group, School of Computing and Mathematical Sciences, University of Greenwich, London, UK
M. K. Patel
Affiliation:
Fire Safety Engineering Group, School of Computing and Mathematical Sciences, University of Greenwich, London, UK
E. R. Galea
Affiliation:
Fire Safety Engineering Group, School of Computing and Mathematical Sciences, University of Greenwich, London, UK
A. Grandison
Affiliation:
Fire Safety Engineering Group, School of Computing and Mathematical Sciences, University of Greenwich, London, UK
J. Ewer
Affiliation:
Fire Safety Engineering Group, School of Computing and Mathematical Sciences, University of Greenwich, London, UK

Abstract

In 1998, Swissair Flight 111 (SR111) developed an in-flight fire shortly after take-off which resulted in the loss of the aircraft, a McDonnell Douglas MD-11, and all passengers and crew. The Transportation Safety Board (TSB) of Canada, Fire and Explosion Group launched a four year investigation into the incident in an attempt to understand the cause and subsequent mechanisms which lead to the rapid spread of the in-flight fire. As part of this investigation, the SMARTFIRE Computational Fluid Dynamics (CFD) software was used to predict the ‘possible’ development of the fire and associated smoke movement. In this paper the CFD fire simulations are presented and model predictions compared with key findings from the investigation. The model predictions are shown to be consistent with a number of the investigation findings associated with the early stages of the fire development. The analysis makes use of simulated pre-fire airflow conditions within the MD-11 cockpit and above ceiling region presented in an earlier publication (Part I) which was published in The Aeronautical Journal in January 2006.

Type
Research Article
Copyright
Copyright © Royal Aeronautical Society 2006 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Transportation Safety Board (TSB) of Canada, In-flight fire leading to collision with water—Swissair Transport Limited McDonnell Douglas MD11 HB-IWF Peggy’s Cove, Nova Scotia 5 nm SW 2 September 1998, 2003, Report Number A98H0003.Google Scholar
2. Galea, E.R. On the field modelling approach to the simulation of enclosure fires, J Fire Protection Engineering, 1989, 1, (1), pp 1122.Google Scholar
3. Cox, G. (Ed). Combustion Fundamentals of Fire, 1995, Academic Press.Google Scholar
4. Jia, F., Patel, M.K., Galea, E.R., Grandison, A. and Ewer, J. CFD fire simulation of the Swissair flight 111 in-flight fire—Part 1: Prediction of the pre-fire air flow within the cockpit and surrounding areas, Aeronaut J, January 2006, 110, (1103), pp 4152.Google Scholar
5. Ewer, J., Jia, F., Grandison, A., Galea, E.R. and Patel, M.K. SMARTFIRE V3.0 User Guide and Technical Manual, 2002, Fire Safety Engineering Group, University of Greenwich, UK.Google Scholar
6. Taylor, S., Petridis, M., Knight, B., Ewer, J., Galea, E.R. and Patel, M.K. SMARTFIRE: An integrated computational fluid dynamics code and expert system for fire field modelling, Fire Safety Science, 1997, Proceedings of the Fifth International Symposium, pp 12851296.Google Scholar
7. Ewer, J., Galea, E.R., Patel, M.K., Taylor, S., Knight, B. and Petridis, M. SMARTFIRE: An intelligent CFD based fire model, Fire Protection Engineering, 1999, 10, (1), pp 1327.Google Scholar
8. Taylor, S., Galea, E., Patel, M.K., Petridis, M., Knight, B. and Ewer, J. SMARTFIRE: An intelligent fire field model, 1996, Proceedings Interflam 96, Cambridge, UK, pp 671680.Google Scholar
9. Kumar, S., Gupta, A.K. and Cox, G. Effects of thermal radiation on the fluid dynamics of compartment fires, Fire Safety Science, 1991, Procedings of the Third Intational Symposium, pp 345354.Google Scholar
10. Raithby, G.D. and Chui, E.H. A finite volume method for predicting a radiant heat transfer in enclosures with participating media, J Heat Transfer, May 1990, 112, pp 415423.Google Scholar
11. Magnussen, B.F. and Hjertager, B.H. On mathematical modelling of turbulent combustion with special emphasis on soot formation and combustion, 1977, 16th International Symposium on Combustion, the Combustion Institute, pp 719729.Google Scholar
12. Pantakar, S.V. Numerical Heat Transfer and Fluid Flow, 1980, Intertext Books, McGraw Hill, New York.Google Scholar
13. Grandison, A.J., Galea, E.R. and Patel, M.K. Development of Standards for Fire Field Models. Report on Phase 1 Simulations, 2003, Office of the Deputy Prime Minister, Fire Research Division, Fire Research Division, Research Report 2/2003.Google Scholar
14. Grandison, A.J., Galea, E.R. and Patel, M.K. Development of Standards for Fire Field Models. Report on SMARTFIRE Phase 2 Simulations, 2003, Office of the Deputy Prime Minister, Fire Research Division, Fire Research Division, Research Report 1/2003.Google Scholar
18. Communication with TSB: FDR_RAPS_Track_with_Graphs.xls (27/08/2002)Google Scholar
19. Quintiere, J.G. The effects of angular orientation on flame spread over thin materials, 1999, DOT/FAA/AR-99/86, US Department of Transportation, Federal Aviation Administration Google Scholar
20. Communication with TSB: FSEG Computer Fire Modelling Fuel List Overview, 06/10/2002.Google Scholar
21. Communication with TSB, FSEG_27_Aug_02_Update, 02/08/2002.Google Scholar