NDLI: A Multi-Grid Model for Evacuation Coupling with the Effects of Fire Products

Content Provider	Springer Nature Link
Author	Fang, Zhi Ming Song, Wei Guo Zhang, Jun Wu, Hao
Copyright Year	2010
Abstract	In the study, influences of fire products on pedestrians are introduced into a multi-grid evacuation model, in which the space is discretized into small grids with the size of 0.1 m × 0.1 m and each pedestrian occupies 5 × 5 grid sites. The fire products affect two walking parameters of pedestrians: the desired movement direction and the step frequency. The data of fire products are obtained from the simulation results of the Fire Dynamics Simulator (FDS), a well-founded computational fluid dynamic (CFD) program, developed by the National Institute of Standards and Technology (NIST). With this model, we investigated the routes of pedestrians in fires, and the evacuation times in scenarios with different fire intensities, pre-movement times or door widths. The results indicate that pedestrians will avoid moving towards the fire source, small fire may make egress process faster while large fire may reduce evacuation efficiency significantly, the movement time increases rapidly with the increasing pre-movement time, and the door width plays a more important role for evacuation in fire than normal condition. Furthermore, for the evacuation from a hall with two exits our model can reproduce the inefficient use of exits and predict the optimal condition that results in least evacuation time.
Starting Page	91
Ending Page	104
Page Count	14
File Format	PDF
ISSN	00152684
Journal	Fire Technology
Volume Number	48
Issue Number	1
e-ISSN	15728099
Language	English
Publisher	Springer US
Publisher Date	2010-08-18
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Fire products Temperature Extinction coefficient Evacuation Multi-grid model Physics Characterization and Evaluation of Materials Mechanics Civil Engineering
Content Type	Text
Resource Type	Article
Subject	Materials Science Safety, Risk, Reliability and Quality

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