Abstract
Sanderson [1] examined the theoretical basis for and the experimentation supporting the predictive smoke zone models currently being used in fire engineering design that are cited, in nationally and internationally accepted guidance documents, to support the increasing use of performance-based building codes/regulations throughout the world. This critical examination identified anomalies: 1) between different researcher’s results, when considering the same fire environment, and 2) areas where the models used in guidance documents have limited empirical support. The variance between models was examined by the parametric variation of critical data input parameters the impact of which indicated that the most recent research produced models that predict a lower level of mass smoke flow than the earlier models. It may be suggested that the more recent research, building on previous work, produces models that can be used with a greater level of confidence however there is no robust evidence to support this. This paper illustrates the variances between the model outputs by means of a case study.
| Original language | English |
|---|---|
| Pages (from-to) | 751-762 |
| Number of pages | 12 |
| Journal | Fire Safety Science |
| Volume | 9 |
| DOIs | |
| Publication status | Published - 1 Jan 2009 |
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Keywords
- fire safety
- mass smoke flow
- engineering design
- predictive smoke zone models
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A comparative analysis of the use of different zone models to predict the mass smoke flow for axisymetric and spill plumes. / Sanderson, Iain; Kilpatrick, Tony; Torero, J. L.
In: Fire Safety Science, Vol. 9, 01.01.2009, p. 751-762.Research output: Contribution to journal › Article
TY - JOUR
T1 - A comparative analysis of the use of different zone models to predict the mass smoke flow for axisymetric and spill plumes
AU - Sanderson, Iain
AU - Kilpatrick, Tony
AU - Torero, J. L.
N1 - <p>Originally published in: Fire Safety Science (2009), 9, pp.751-762.</p>
PY - 2009/1/1
Y1 - 2009/1/1
N2 - Sanderson [1] examined the theoretical basis for and the experimentation supporting the predictive smoke zone models currently being used in fire engineering design that are cited, in nationally and internationally accepted guidance documents, to support the increasing use of performance-based building codes/regulations throughout the world. This critical examination identified anomalies: 1) between different researcher’s results, when considering the same fire environment, and 2) areas where the models used in guidance documents have limited empirical support. The variance between models was examined by the parametric variation of critical data input parameters the impact of which indicated that the most recent research produced models that predict a lower level of mass smoke flow than the earlier models. It may be suggested that the more recent research, building on previous work, produces models that can be used with a greater level of confidence however there is no robust evidence to support this. This paper illustrates the variances between the model outputs by means of a case study.
AB - Sanderson [1] examined the theoretical basis for and the experimentation supporting the predictive smoke zone models currently being used in fire engineering design that are cited, in nationally and internationally accepted guidance documents, to support the increasing use of performance-based building codes/regulations throughout the world. This critical examination identified anomalies: 1) between different researcher’s results, when considering the same fire environment, and 2) areas where the models used in guidance documents have limited empirical support. The variance between models was examined by the parametric variation of critical data input parameters the impact of which indicated that the most recent research produced models that predict a lower level of mass smoke flow than the earlier models. It may be suggested that the more recent research, building on previous work, produces models that can be used with a greater level of confidence however there is no robust evidence to support this. This paper illustrates the variances between the model outputs by means of a case study.
KW - fire safety
KW - mass smoke flow
KW - engineering design
KW - predictive smoke zone models
U2 - 10.3801/IAFSS.FSS.9-751
DO - 10.3801/IAFSS.FSS.9-751
M3 - Article
VL - 9
SP - 751
EP - 762
JO - Fire Safety Science
JF - Fire Safety Science
SN - 1817-4299
ER -