scholarly journals Design of evacuation simulation system for subway station personnel in fire environment based on SPH

Author(s):  
Jinqiang Ma ◽  
Zhihong Miao ◽  
Junjing Tian ◽  
Peisheng Huang
2018 ◽  
pp. 909-917
Author(s):  
Qiang Li ◽  
Jiaqing Zhang ◽  
Jinmei Li ◽  
Yichen Yang ◽  
Minghao Fan

2015 ◽  
Vol 21 (4) ◽  
pp. 514-523 ◽  
Author(s):  
Wei Zhong ◽  
Rui Tu ◽  
Jian Peng Yang ◽  
Tian Shui Liang

A running traffic train induces piston wind in the subway. The influence of piston wind on fire smoke propagation in subway is investigated numerically. The flow field structure in fire platform, temperature contours and velocity profiles at certain positions are obtained at various scenarios respectively. Three methods are adopted to reduce the impact of piston wind on smoke layers. Results show that large-scale vortexes and tremendous horizontal inertial force would be produced under the influence of piston wind; and that smoke stratification would be broken totally under its influence, therefore toxic gas would spread to subway hall through stairs. So the former smoke management system in a subway station becomes less effective. Results also show that combination of enhanced the volume flux of pressurization at the subway hall and lowering the height of smoke screens around stairs are necessary to restrict hazard smoke on the floor on fire. The bypass wind tunnel and ventilation shaft are useful to attenuate the magnitude of piston wind.


2012 ◽  
Vol 21 (3) ◽  
pp. 230 ◽  
Author(s):  
Nicholas J. Gralewicz ◽  
Trisalyn A. Nelson ◽  
Michael A. Wulder

A spatially explicit baseline measure of historic, current and future wildfire ignition expectations is required to monitor and understand changes in fire occurrence, the distribution of which climate change is anticipated to modify. Using spatial–temporal patterns of fire in Canada, we present a method to identify baseline expectations and ignition trends between 1980 and 2006 across 1-km spatial units. Kernel density estimates of wildfire ignitions and temporal trajectory metrics were calculated to describe expected ignition density, variability from expected density, and increasing or decreasing density trends. Baseline ignition expectations and trends were used to create unique fire ignition regimes and assess anthropogenic influence on ignitions. Fire ignition densities decreased exponentially as distance to road or populated place increased, and largest ignition trends occurred closest to both variables. Fire ignition regime delineation was more dependent on human transportation networks than human settlement. These findings provide a unique approach to quantifying ignition expectations. This research highlights the potential of this baseline approach for monitoring efforts and fire–environment interaction research and offers a preliminary spatially explicit model of wildfire occurrence expectations in Canada.


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