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Numerical optimisation techniques applied to evacuation analysis

Numerical optimisation techniques applied to evacuation analysis

Machado Tavares, Rodrigo and Galea, Edwin R. ORCID: 0000-0002-0001-6665 (2010) Numerical optimisation techniques applied to evacuation analysis. In: Klingsch, W.W.F., Rogsch, C., Schadschneider, A. and Schreckenberg, M., (eds.) Pedestrian and Evacuation Dynamics 2008. Springer-Verlag, Berlin / Heidelberg, Germany, pp. 555-561. ISBN 978-3-642-04503-5 (Print), 978-3-642-04504-2 (Online) (doi:10.1007/978-3-642-04504-2_49)

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Abstract

A common problem faced by fire safety engineers in the field of evacuation analysis concerns the optimal design of an arbitrarily complex structure in order to minimise evacuation times. How does the engineer determine the best solution? In this study we introduce the concept of numerical optimisation techniques to address this problem. The study makes user of the buildingEXODUS evacuation model coupled with classical optimisation theory including Design of Experiments (DoE) and Response Surface Models (RSM). We demonstrate the technique using a relatively simple problem of determining the optimal location for a single exit in a square room.

Item Type: Book Section
Additional Information: [1] This paper forms part of the proceedings of the 4th international conference on "Pedestrian and Evacuation Dynamics", held 27-29 February 2008 at Wuppertal University, Wuppertal, Germany. [2] The topics presented were published in Pedestrian and Evacuation Dynamics 2008.
Uncontrolled Keywords: numerical optimisation techniques, evacuation analysis, fire safety, buildingEXODUS evacuation model, Design of Experiments (DoE), Response Surface Models (RSM), optimal location, square room
Subjects: T Technology > TH Building construction
Q Science > QA Mathematics > QA76 Computer software
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 09:05
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/1783

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