Prediction of temperature and velocity profiles in a single compartment fire by an improved neural network analysis

Fire Safety Journal

Volumn 41, Issue 6, 2006, Pages 478-485

  Yuen, Richard K K ^a   Lee, Eric W M ^a   Lo, S M ^a   Yeoh, G H ^b  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b AUSTRALIAN NUCLEAR SCIENCE AND TECHNOLOGY ORGANISATION   (Australia)

Author keywords

Artificial neural network; Compartment fire; GRNNFA; Temperature profile; Velocity profile

Indexed keywords

BENCHMARKING; COMPUTATIONAL FLUID DYNAMICS; FIRES; MATHEMATICAL MODELS; VELOCITY CONTROL;

COMPARTMENT FIRE; GRNNFA; TEMPERATURE PROFILE; VELOCITY PROFILE;

NEURAL NETWORKS;

EID: 33746744331     PISSN: 03797112     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.firesaf.2006.03.003     Document Type: Article

References (28)

1. Beard A.N. Fire models and design. Fire Saf J 28 (1997) 117-138
2. Yeoh G.H., Yuen R.K.K., Lee E.W.M., and Cheung S.C.P. Fire and smoke distribution in a two-room compartment structure. Int J Numer Methods Heat Fluid Flow 12 2-3 (2002) 178-194
3. Yeoh G.H., Yuen R.K.K., Chen D.H., and Kwok W.K. Combustion and heat transfer in compartment fires. Numer Heat Transfer Part A-Appl 42 1-2 (2002) 153-172
4. Yeoh G.H., Yuen R.K.K., Lo S.M., and Chen D.H. On numerical comparison of enclosure fire in a multi-compartment building. Fire Saf J 38 (2003) 85-94
5. Yeoh G.H., Yuen R.K.K., Cheung S.C.P., and Kwok W.K. On modelling combustion, radiation and soot processes in compartment fires. Build Environ 38 (2003) 771-785
6. Chen Y, Sathyamoorthy S, Serio MA. New fire detection system using FT-IR spectroscopy and artificial neural network. NISTIR6242. NIST annual conference fire research Gaithersburg, MD, November 1998.
7. Ishii H, Ono T, Yamauchi Y, Ohtani S. Fire detection system by multi-layered neural network with delay circuit. Fire safety science-Proceedings of the fourth international symposium; 1994. p. 761-72.
8. Milke J.A., and Mcavoy T.J. Analysis of signature patterns for discriminating fire detection with multiple sensors. Fire Technol 31 2 (1995) 120-136
9. Okayama Y. A primitive study of a fire detection method controlled by artificial neural net. Fire Saf J 17 6 (1991) 535-553
10. Pfister G. Multisensor/multicriteria fire detection: a new trend rapidly becomes state of art. Fire Technol 33 2 (1997) 115-139
11. Lee W.M., Yuen K.K., Lo S.M., and Lam K.C. Prediction of sprinkler actuation time using the artificial neural networks. J Build Surv 2 1 (2000) 10-13
12. Lee EWM, Yuen RKK, Lo SM, Lam KC. Application of Fuzzy ARTMAP for prediction of flashover in compartmental fire. Proceedings of international conference on construction, Hong Kong; 19-21 June 2001. p. 301-11.
13. Lee E.W.M., Yuen R.K.K., Lo S.M., and Lam K.C. Probabilistic inference with maximum entropy for prediction of flashover in single compartment fire. Adv Eng Inform 16 (2002) 179-191
14. Lee E.W.M., Yuen R.K.K., Lo S.M., Lam K.C., and Yeoh G.H. A novel artificial neural network fire model for prediction of thermal interface location in single compartment fire. Fire Saf J 39 (2004) 67-87
15. Rosenblatt F. Principles of neurodynamics (1962), Spartan Books, New York
16. Carpenter G.A., Grossberg S., Markuzon N., and Reynolds J.H. Fuzzy ARTMAP: a neural network architecture for incremental supervised learning of analog multidimensional maps. IEEE Trans Neural Networks 3 5 (1992) 698-713
17. Lee E.W.M., Lim C.P., Yuen R.K.K., and Lo S.M. A hybrid artificial neural network model for online data regression. IEEE Trans Syst Man Cybernet-Part B: Cybernet 34 2 (2004) 951-960
18. Steckler KD, Quintiere JD, Rinkinen WJ. Flow induced by fire in a compartment. NBSIR 82-2520, National Bureau of Standards, Washington, DC; 1982.
19. Kerrison L., Galea E.R., Hoffmann N., and Patel M.K. A comparison of a FLOW3D based fire field model with experimental room fire data. Fire Saf J 23 (1994) 387-411
20. Keramida E.P., Souris N.N., Boudouvis A.G., and Markatos N.C. Numerical modeling of radiative heat transfer in integrated CFD fire modeling. J Appl Fire Sci 9 1 (1999) 3-19
21. Gosman A.D., Pun W.M., Runchal A.K., Spalding D.B., and Wolfshtein W.M. Heat and mass transfer in recirculating flows (1969), Academic Press, New York
22. Yeoh G.H., Yuen R.K.K., Cheung S.C.P., and Kwok W.K. On modeling combustion, radiation and soot processes in compartment fires. Building and Environment 38 (2003) 771-785
23. Jamaluddin S., and Smith P.J. Predicting radiative transfer in rectangular enclosures using the discrete ordinates method. Combust Sci Technol 59 (1988) 321-340
24. Carpenter G.A., Grossberg S., and David B.R. Fuzzy ART: fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Network 4 (1991) 759-771
25. Specht D.F. A general regression neural network. IEEE Trans Neural Network 2 6 (1991) 568-576
26. Bishop C. Neural network for pattern recognition (1995), Clarendon Press, Oxford
27. Dagher I., and Georgiopoulos M. An ordering algorithm for pattern presentation in Fuzzy ARTMAP that tends to improve generalization performance. IEEE Trans Neural Network 10 4 (1999) 768-778
28. Kerrison L., Galea E.R., Hoffmann N., and Patel M.K. A comparison of a FLOW3D based fire field model with experimental room fire data. Fire Saf J 23 (1994) 387-411