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Computer simulation of residential natural ventilation smoke control system

Computer simulation of residential natural ventilation smoke control system

Athar, Sidra (2017) Computer simulation of residential natural ventilation smoke control system. MPhil thesis, University of Greenwich.

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Abstract

The main objective of the research is to explore the potential benefits of natural ventilation systems in domestic dwelling applications using SMARTFIRE CFD based fire simulation software and EXODUS evacuation simulation software. Based on the objective of natural ventilation system a detailed literature review has been performed and a new methodology has been proposed to understand the development of house fire with limited ventilation. The enhancement to fire modelling in terms of smoke removal using roof top vent through this study identifies the different vent sizes, positions and scenarios that can occur in a house. The proposed methodology uses the HRR curve method (simulation-correction method) which allows to design any fire realistic for any house structure. This study also proposes a solution to analyse the potential benefits or the risks involved using the roof top vent as the source of removal of smoke. And finally a survivability analysis will help to conclude the roof top vent application impact on survivability. Under an assumption that the fire is fixed with and without a top open, this study has demonstrated that a top vent is able to improve the dwelling survivability and the improvement in closed bedrooms just with leakages at the doorway is significant.

Item Type: Thesis (MPhil)
Uncontrolled Keywords: Numerical modelling; fire simulation software; fire and evacuation modelling; fire safety;
Subjects: Q Science > QA Mathematics
T Technology > TD Environmental technology. Sanitary engineering
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Department of Mathematical Sciences
Last Modified: 17 Apr 2019 16:36
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/23638

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