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Large-scale generation and characterisation of fire effluents

Blomqvist, P. LU and Simonson Mcnamee, M. LU (2010) p.461-514
Abstract

The characterisation of fire effluents from large-scale fire tests is important for assessing the risks associated with specific scenarios regarding buildings and transport, and also for validation of effluent data from small-scale tests. This chapter describes some of the most important standard large-scale test scenarios and modifications of these tests including gas analysis. It will further describe some specially designed tests with a focus on how these tests can be used to obtain information concerning the emission of toxic species. The standard tests described include tests with building materials, cables and tests of extinguishing systems on ships. The specially designed tests discussed include various tests with land vehicles,... (More)

The characterisation of fire effluents from large-scale fire tests is important for assessing the risks associated with specific scenarios regarding buildings and transport, and also for validation of effluent data from small-scale tests. This chapter describes some of the most important standard large-scale test scenarios and modifications of these tests including gas analysis. It will further describe some specially designed tests with a focus on how these tests can be used to obtain information concerning the emission of toxic species. The standard tests described include tests with building materials, cables and tests of extinguishing systems on ships. The specially designed tests discussed include various tests with land vehicles, marine vehicles and different industrial applications. A discussion of methods for sampling and analysing toxic species of interest with a focus on large-scale applications is also included.

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Please use this url to cite or link to this publication:
author
and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Fire effluents, Large-scale fire tests, Smoke characterisation, Toxic fire gases.
host publication
Fire Toxicity
pages
54 pages
publisher
Woodhead Publishing Limited
external identifiers
  • scopus:84856674759
ISBN
9781845695026
DOI
10.1533/9781845698072.4.461
language
English
LU publication?
no
additional info
Copyright: Copyright 2013 Elsevier B.V., All rights reserved.
id
1b5a4424-f1df-4a6d-a522-d472ec6b75b9
date added to LUP
2021-09-29 14:23:13
date last changed
2022-02-02 00:08:01
@inbook{1b5a4424-f1df-4a6d-a522-d472ec6b75b9,
  abstract     = {{<p>The characterisation of fire effluents from large-scale fire tests is important for assessing the risks associated with specific scenarios regarding buildings and transport, and also for validation of effluent data from small-scale tests. This chapter describes some of the most important standard large-scale test scenarios and modifications of these tests including gas analysis. It will further describe some specially designed tests with a focus on how these tests can be used to obtain information concerning the emission of toxic species. The standard tests described include tests with building materials, cables and tests of extinguishing systems on ships. The specially designed tests discussed include various tests with land vehicles, marine vehicles and different industrial applications. A discussion of methods for sampling and analysing toxic species of interest with a focus on large-scale applications is also included.</p>}},
  author       = {{Blomqvist, P. and Simonson Mcnamee, M.}},
  booktitle    = {{Fire Toxicity}},
  isbn         = {{9781845695026}},
  keywords     = {{Fire effluents; Large-scale fire tests; Smoke characterisation; Toxic fire gases.}},
  language     = {{eng}},
  month        = {{03}},
  pages        = {{461--514}},
  publisher    = {{Woodhead Publishing Limited}},
  title        = {{Large-scale generation and characterisation of fire effluents}},
  url          = {{http://dx.doi.org/10.1533/9781845698072.4.461}},
  doi          = {{10.1533/9781845698072.4.461}},
  year         = {{2010}},
}