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Assessment of the impact of computed and measured fire environments on building evacuation using bench and real scale test data

Assessment of the impact of computed and measured fire environments on building evacuation using bench and real scale test data

Robinson, J.E., Hull, T.R., Lebek, K., Stec, A.A., Galea, Edwin R., Mahalingam, Arun, Jia, Fuchen, Patel, Mayur and Persson, H. (2007) Assessment of the impact of computed and measured fire environments on building evacuation using bench and real scale test data. Interflam 2007 11th International Fire Science and Engineering Conference. Interscience Communications, Greenwich, pp. 873-884. ISBN 9780954121693

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Abstract

This study investigates the use of computer modelled versus directly experimentally determined fire hazard data for assessing survivability within buildings using evacuation models incorporating Fractionally Effective Dose (FED) models. The objective is to establish a link between effluent toxicity, measured using a variety of small and large scale tests, and building evacuation. For the scenarios under consideration, fire simulation is typically used to determine the time non-survivable conditions develop within the enclosure, for example, when smoke or toxic effluent falls below a critical height which is deemed detrimental to evacuation or when the radiative fluxes reach a critical value leading to the onset of flashover. The evacuation calculation would the be used to determine whether people within the structure could evacuate before these critical conditions develop.

Item Type: Book Section
Additional Information: This paper forms part of the published proceedings from 11th International Fire Science & Engineering Conference, Interflam 2007, 3-5th September 2007, Royal Holloway College, University of London, UK
Uncontrolled Keywords: evacuation models, survivability, Fractional Effective Dose (FDE), effluent toxicity, radiative fluxes, flashover
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Mechanics & Reliability Group
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
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Last Modified: 14 Oct 2016 09:03
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/1096

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