Risk assessment of building fire evacuation with stochastic obstructed emergency exit

Shariff, G. N. and Yong, J. C.E. and Salleh, Norsaremah and Siow, Chee Loon (2020) Risk assessment of building fire evacuation with stochastic obstructed emergency exit. In: 4th International Conference and Workshops on Recent Advances and Innovations in Engineering, ICRAIE 2019;, 28th - 29th November 2019, Kedah, Malaysia.

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Abstract

Fire evacuation simulation for buildings has greatly enhance the safety of escaping efficiently and give valuable insight for better layout permutation. The aim of this article is to evaluate the safety risk of fire evacuation given a random chance that emergency exits are obstructed. A case study of evacuation pathway was evaluated against fire safety codes and practices in Malaysia. AnyLogic was used to simulate fire evacuation, assuming peak occupancy, with three randomly obstructed emergency exit pathways. Results show that though the floorplan fulfils safety criteria, the risk was high which requires adjustment. Monte Carlo analysis indicates the performance of risk of obstruction of all three emergency exits at one percent probability. Risk assessment points to the need of a minimum number of emergency exits by floor area per exit basis and a reconfiguration of floorplan layout.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	3705/82436
Uncontrolled Keywords:	Agent-based Modelling Simulation, Fire risk assessment, Monte Carlo Analysis
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management H Social Sciences > HV Social pathology. Social and public welfare > HV551.2 Emergency management
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr Norsaremah Salleh
Date Deposited:	26 Aug 2020 09:38
Last Modified:	26 Aug 2020 09:38
URI:	http://irep.iium.edu.my/id/eprint/82436

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