A BIM-based simulation framework for fire safety management and investigation of the critical factors affecting human evacuation performance. (April 2020)

• Record Type: Journal Article
• Authors: Sun, Qi; Turkan, Yelda
• Is Part Of: Advanced engineering informatics. Volume 44(2020)
• Publication Date: 2020-04
• Subjects: Fire safety management -- Statistical analysis -- Building information modeling -- Fire dynamics simulator -- Agent-based modeling -- Human evacuation performance; Computer-aided engineering -- Periodicals; Engineering -- Data processing -- Periodicals; 620.00285
• DOI: 10.1016/j.aei.2020.101093
• Languages: English
• ISSNs: 1474-0346

Abstract

Abstract: Fire hazards are a big threat to human life and property safety. The U.S. fire statistics reveal that, in 2017 alone, 1, 319, 500 fires caused 3400 deaths and 14, 670 injuries, which resulted in a loss of $23 billion [1]. Effective evacuation planning in densely occupied buildings should be primarily put in place if both the number of injuries/fatalities and the level of property loss are to be minimized. However, it is not realistic, and is unethical to study human evacuation performance under a burning building. For this reason, computational tools tend to be the best approach for simulating fire growth as well as human response to fire hazards. This study aims to develop a BIM-based simulation framework that implements the Fire Dynamic Simulator (FDS) and agent-based modeling (ABM) for simulating fire growth and evacuation performance for different building layout scenarios. An experimental implementation is conducted to validate the proposed framework, which verified the benefits of (1) using BIM to offer a platform for conducting simulation design and visualizing the simulation results of (a) hazardous fire zones and (b) effective escape routes; (2) simulating fire growth using the FDS tool; (3) developing an agent-based model that accounts for the critical factors affecting evacuation performance; and (4) applying a statistical analysis for investigating the effects of influential parameters from the proposed model. As a result, the simulation outputs can be used to optimize the building design and to investigate the influential factors on human evacuation efficiency. The proposed framework contributes to building fire safety management by enabling to minimize both injuries/fatalities and property loss.