Skip navigation

Evacuation modelling analysis within the operational research context: a combined approach for improving enclosure designs

Evacuation modelling analysis within the operational research context: a combined approach for improving enclosure designs

Machado Tavares, R. and Galea, E.R. ORCID: 0000-0002-0001-6665 (2009) Evacuation modelling analysis within the operational research context: a combined approach for improving enclosure designs. Building and Environment, 44 (5). pp. 1005-1016. ISSN 0360-1323 (doi:https://doi.org/10.1016/j.buildenv.2008.07.019)

Full text not available from this repository.

Abstract

Evacuation models have been playing an important function in the transition process from prescriptive fire safety codes to performance-based ones over the last three decades. In fact, such models became also useful tools in different tasks within fire safety engineering field, such as fire risks assessment and fire investigation. However, there are some difficulties in this process when using these models. For instance, during the evacuation modelling analysis, a common problem faced by fire safety engineers concerns the number of simulations which needs to be performed. In other terms, which fire designs (i.e., scenarios) should be investigated using the evacuation models? This type of question becomes more complex when specific issues such as the optimal positioning of exits within an arbitrarily structure needs to be addressed. Therefore, this paper presents a methodology which combines the use of evacuation models with numerical techniques used in the operational research field, such as Design of Experiments (DoE), Response Surface Models (RSM) and the numerical optimisation techniques. The methodology here presented is restricted to evacuation modelling analysis, nevertheless this same concept can be extended to fire modelling analysis.

Item Type: Article
Uncontrolled Keywords: fire safety codes, evacuation models, fire design, design of experiments, response surface models, numerical optimisation techniques
Subjects: Q Science > QA Mathematics
T Technology > TH Building construction
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 > Fire Safety Engineering Group
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:04
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/1505

Actions (login required)

View Item View Item