| Vol. - No. | Vol.10 - No.1 |
|---|---|
| Date | Mar., 2021 |
| Title |
Estimating Door Open Time Distributions for Occupants Escaping from Apartments |
| Author | Charlie Hopkin1,2+, Michael Spearpoint1, Danny Hopkin1, and Yong Wang2 |
| Institutions |
1OFR Consultants, Sevendale House, Lever Street, Manchester, M1 1JA, UK 2Department of MACE, The University of Manchester, Manchester, M13 9PL, UK |
| Abstract |
The door open time, resulting from occupants evacuating from apartments, is an important parameter when assessing the performance of smoke ventilation systems in high-rise apartment buildings. However, the values recommended in UK design guidance appear to have limited substantiation. Monte Carlo simulations have been carried out considering variabilities in door swing time, flow rate and number of occupants. It has been found that the door open time can be represented by a lognormal distribution with a mean of 6.6, 8.7 and 11.1 s and a standard deviation of 1.7, 3.2 and 4.7 s for one, two and three-bedroom apartments, respectively. For deterministic analyses, it is proposed that the 95th percentile values may be adopted in line with recommended practice for other fire safety design parameters such as fuel load density and soot yield, giving door open times of 10 s to 19 s, depending on the number of bedrooms. |
| Keyword | Residential fire safety, egress, doors, smoke ventilation, common corridor. |
| PP. | PP.73~83 |
| Paper File |
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