Large-scale fire spread model for traditional Chinese building communities

Abstract

The complex layout of traditional Chinese building communities and the flammability of building materials make fire prevention and control a huge challenge. Scientific and effective allocation of fire resources is an effective way to deal with this issue. Through Fault Tree Analysis and cellular automata, the mathematical relationships between uncertainty influencing factors in the fire spread process of traditional Chinese building communities are explored, and a large-scale fire spread discriminant index model is constructed. This paper takes the buildings in the Nanluoguxiang area of Beijing as the research object. Fire spread paths are analyzed under four different fire starting point locations for Nanluoguxiang's fire hazards. By superimposing the fire spread paths, the key locations of the fire spread risk in the area are determined. The study proposes further improvement measures for fire prevention and control with the addition of micro fire stations based on these findings. The results of this study indicate that the construction of micro fire stations can effectively control the spread of fire between buildings. The model achieves an accurate portrayal of the differences in the interaction of fire spread between buildings. It realistically reflects the dynamic simulation process of fire spread in traditional Chinese building communities. Moreover, the model can more accurately calculate the key points of fire spread paths in traditional Chinese buildings. It will facilitate the optimal allocation of firefighting resources. This study can provide valuable support for firefighting practices in traditional Chinese communities.