Research On Quantitative Fire Risk Assessment Mode Of Large-Scale Shopping Complex

The large shopping complex has been always considered as the concentration cite of property and life occupant. Once catch fire, it's very likely to threaten the life of the occupant and the property. The current solutions of fire risk assessment are mainly executed by qualitative description, semi-quantitative scoring etc. The whole methodology is either probabilistic model or deterministic model. It's seldom analyzed by the combination of them to solve the fire risk problems. Thus, it's required to solve the building fire risk problem by combining the fire dynamics and the discipline of statistics probability urgently. Based on this perspective, this thesis described how to realize the integration of the two models and how to build the quantitative fire risk assessment model on the large shopping complex.The quantitative fire risk model is consisted of two parts: the first part is referred as performance-based analysis, which is illustrated how to identify, analyze, evaluate and control the fire hazard as well as providing the performance-based solution and determining the occurring sequence of fire events. The second part is referred as risk analysis reformed on the discipline of statistics probability, which is summarized how to combine the conclusion of the first model with the existing collected fire statistical data to set up the fire risk event tree, in order that determining the fire scenarios due to the unreliability of the fire protection systems. Thus compare to the related fire risk acceptable guidelines to distinguish the accepted fire scenarios to the unaccepted ones. Refine the performance-based strategy in order to reduce the fire risk as low as reasonably practicable in the design stage. If any scenario is unacceptable either, utilizing the fault tree to analyze and evaluate the importance of the fire protection system and summarize the reasons which can result in the unreliability and ineffective, make the decision to reduce the whole fire risk to the acceptable level.