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The Impact of Smoke on Walking Speed

Fridolf, Karl LU ; Andrée, Kristin LU ; Nilsson, Daniel LU and Frantzich, Håkan LU (2013) International Interflam Conference, Interflam 2013 In [Host publication title missing] 2. p.955-965
Abstract
In fire safety engineering, information about the expected walking speed of occupants through smoke is one factor that is of great interest to the designer. However, despite the fact that research already in the 1970s demonstrated that people tend to evacuate through smoke, little research has been performed on the topic, and evidently there is a lack of data on walking speed in smoke. This has created a situation where fire safety engineering assessments of the RSET may be intimately associated with great uncertainties, especially for buildings in which in which people can be expected to evacuate long distances through smoke, e.g., underground transportation systems. In order to address the lack of data on movement through smoke, 133 data... (More)
In fire safety engineering, information about the expected walking speed of occupants through smoke is one factor that is of great interest to the designer. However, despite the fact that research already in the 1970s demonstrated that people tend to evacuate through smoke, little research has been performed on the topic, and evidently there is a lack of data on walking speed in smoke. This has created a situation where fire safety engineering assessments of the RSET may be intimately associated with great uncertainties, especially for buildings in which in which people can be expected to evacuate long distances through smoke, e.g., underground transportation systems. In order to address the lack of data on movement through smoke, 133 data points on individual walking speed in smoke are presented in this paper. The presented data lies within an extinction coefficient range from 1.2 to 7.5 m-1 (approximately corresponding to a visibility interval of 2.4-0.4 m for reflecting objects). In addition, recommendations are given on how designers should treat the data in their fire safety risk assessments, depending on the type of risk analysis method, i.e., if the designer is performing a deterministic analysis, or a quantitative risk analysis (QRA). It is argued that this information can be used to reduce the uncertainty in future risk analyses that involve egress calculations. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
[Host publication title missing]
volume
2
pages
955 - 965
publisher
Interscience Communications
conference name
International Interflam Conference, Interflam 2013
ISBN
978-0-9556548-9-3
language
English
LU publication?
yes
id
2412ff24-fdcd-4b28-80a3-c3bd0414909f (old id 3634251)
date added to LUP
2013-04-19 09:37:12
date last changed
2016-10-11 08:28:10
@inproceedings{2412ff24-fdcd-4b28-80a3-c3bd0414909f,
  abstract     = {In fire safety engineering, information about the expected walking speed of occupants through smoke is one factor that is of great interest to the designer. However, despite the fact that research already in the 1970s demonstrated that people tend to evacuate through smoke, little research has been performed on the topic, and evidently there is a lack of data on walking speed in smoke. This has created a situation where fire safety engineering assessments of the RSET may be intimately associated with great uncertainties, especially for buildings in which in which people can be expected to evacuate long distances through smoke, e.g., underground transportation systems. In order to address the lack of data on movement through smoke, 133 data points on individual walking speed in smoke are presented in this paper. The presented data lies within an extinction coefficient range from 1.2 to 7.5 m-1 (approximately corresponding to a visibility interval of 2.4-0.4 m for reflecting objects). In addition, recommendations are given on how designers should treat the data in their fire safety risk assessments, depending on the type of risk analysis method, i.e., if the designer is performing a deterministic analysis, or a quantitative risk analysis (QRA). It is argued that this information can be used to reduce the uncertainty in future risk analyses that involve egress calculations.},
  author       = {Fridolf, Karl and Andrée, Kristin and Nilsson, Daniel and Frantzich, Håkan},
  booktitle    = {[Host publication title missing]},
  isbn         = {978-0-9556548-9-3},
  language     = {eng},
  pages        = {955--965},
  publisher    = {Interscience Communications},
  title        = {The Impact of Smoke on Walking Speed},
  volume       = {2},
  year         = {2013},
}