지하철 역사 내 화재발생시 연기거동제어 시뮬레이션 연구

Abstract

When a subway station fire accident occurs, it is likely to cause large casualties, especially because it is unpredictable and has no set cycle. In order to prevent this type of accident, appropriate ventilation systems are essential for controlling smoke and providing safe evacuation conditions. To conduct this study, the Fire Dynamic Simulator based on Computational Fluid Dynamics is used to analyze the products of combustion and the Express Bus Terminal Station is selected as a model with a deep structure and many passengers. To determine the appropriate ventilation system for an underground subway station, Supply and Exhaust dominant ventilation systems are evaluated and the results of computational analysis are evaluated. The results show that the Exhaust system reduces carbon monoxide distribution by 33% and improves visibility by 41.86%.

When a subway station fire accident occurs, it is likely to cause large casualties, especially because it is unpredictable and has no set cycle. In order to prevent this type of accident, appropriate ventilation systems are essential for controlling smoke and providing safe evacuation conditions. To conduct this study, the Fire Dynamic Simulator based on Computational Fluid Dynamics is used to analyze the products of combustion and the Express Bus Terminal Station is selected as a model with a deep structure and many passengers. To determine the appropriate ventilation system for an underground subway station, Supply and Exhaust dominant ventilation systems are evaluated and the results of computational analysis are evaluated. The results show that the Exhaust system reduces carbon monoxide distribution by 33% and improves visibility by 41.86%.