Simulation Study on Fire Product Movement Law and Evacuation in a University High-Rise Teaching Building

Cui, Yan; Wang, Hao; You, Bo; Cheng, Chuan; Li, Ming

doi:10.3390/app131810532

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…However, there are still few studies combining grounded theory (GT) and Bayesian networks (BNs) in the risk assessments of road transportation of hazardous chemicals. Currently, grounded theory (GT) has been widely used in the fields of social psychology, education, management, and political science, and its application in identifying risk factors is also relatively mature [24][25][26][27][28][29][30]. Cassiani et al (1996) described in detail the specific research steps of the grounded theory approach, providing directions for future users [25].…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Risk Factors of Hazardous Chemical Road Transportation Accidents Based on Grounded Theory and a Bayesian Network

Wang,

Zhang,

et al. 2023

Sustainability

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With the increase in the production and use of hazardous chemicals in China, road transportation safety issues are becoming increasingly prominent. To study the causes of road transportation accidents involving hazardous chemicals, prevent accident occurrence, and realize the safety and sustainable development of the transportation of hazardous chemicals, we combined grounded theory (GT) and a Bayesian network (BN) model to quantify the causal relationship of the interactions among the influencing factors leading to hazardous chemical road transportation accidents that occurred in China in the period of 2017–2020. The influencing factors of these accidents were classified into 5 core categories, 12 main categories, and 28 categories through the GT method, and then a BN-based model was established for these collected accidents. The conditional probability and posterior probability of each influencing factor leading to an accident were determined through BN learning, and then the causal relationship of the interactions between the influencing factors was quantified. The results indicated that the probability of road transportation accidents involving hazardous chemicals considered in this study reaches 72.5% under the combined influence of various factors, and the most likely causal chain of an accident is that equipment failure during the hazardous chemical transportation process contributes to an Unsafe Tanker State, which in turn leads to an accident. The sensitivity analysis confirmed that the key impact factor of hazardous chemical road transportation accidents is equipment failure, followed by improper operation. Overall, this study presents a reference and a foundation for avoiding or reducing risks as much as possible during daily hazardous chemical road transportation operations and risk supervision, realizing safe, sustainable development.

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Section: Introductionmentioning

confidence: 99%

Analyzing the Risk Factors of Hazardous Chemical Road Transportation Accidents Based on Grounded Theory and a Bayesian Network

Wang,

Zhang,

et al. 2023

Sustainability

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“…It can simulate various types of buildings and disaster situations, and the calculation results are accurate. It is widely used in the design of evacuation paths and safety evacuation results assessment for various buildings [18,19].…”

Section: Software Introductionmentioning

confidence: 99%

Analysis of Evacuation Efficiency for Differently-Abled People in Multi-Layered Buildings Based on Assistance Ratio

Li,

Fu,

Cai

et al. 2023

Applied Sciences

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The term “differently-abled” refers to people with mobility difficulties, including the disabled and the elderly. In order to explore the optimal evacuation efficiency, in emergencies, of different floors in multi-layered buildings where differently-abled people reside, this study has established a mixed evacuation model based on the characteristics of the evacuation behavior of differently-abled people and non-differently-abled people. This model simulated the impact of evacuation strategies on different floors for differently-abled people at various assistance ratios. Through the comparative analysis of various evacuation strategies, an evacuation efficiency analysis model was constructed, which is suitable for multi-layered buildings where differently-abled people reside. The research indicates that, for stair-determined evacuation strategies, when the proportion of assisting personnel exceeds 70%, there is a noticeable improvement in overall evacuation efficiency. For elevator-determined evacuation strategies, evacuating middle floors with unrestricted methods can enhance evacuation efficiency. The analysis model for optimal evacuation efficiency on each floor that is presented in this study, using a five-story building as an example, can clearly and accurately determine evacuation strategies for multi-layered buildings where differently-abled people reside.

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Simulations on Evacuation Strategy and Evacuation Process of the Subway Train Under the Fire

Wang,

Liu,

et al. 2024

Fire

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This study focuses on the safe evacuation strategy and evacuation process in the subway train under the fires. The subway station evacuation mode should be adopted if the power system of a subway train is normal on fire. While, the tunnel evacuation mode should be adopted if the power system of the train fails because of the effects of fire. Under the tunnel evacuation mode, the direction of tunnel smoke should be opposite to that of most passengers, and passengers should be evacuated toward the fresh wind. By using the numerical simulation software Pathfinder and PyroSim, the passenger evacuation time under different conditions is calculated, and the safety of the evacuation process is evaluated. The results show that the evacuation time of the station evacuation mode is obviously shorter than that of the tunnel evacuation mode. With the same conditions, the evacuation time of the tunnel evacuation mode is 2193 s, which is about four times as much as the evacuation time of the station evacuation mode (526 s). The total evacuation time increases with the total number of passengers and the proportion of older people and children. Under an oil pool fire, which is an extreme fire condition, the fire environment inside the train may reach a level threatening the passengers’ safety before the evacuation is complete, even before the door opens; therefore, special attention should be paid to the safety issues in stage from the fire begins to the evacuation complete.

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Simulation Study on Fire Product Movement Law and Evacuation in a University High-Rise Teaching Building

Cited by 3 publications

References 24 publications

Analyzing the Risk Factors of Hazardous Chemical Road Transportation Accidents Based on Grounded Theory and a Bayesian Network

Analyzing the Risk Factors of Hazardous Chemical Road Transportation Accidents Based on Grounded Theory and a Bayesian Network

Analysis of Evacuation Efficiency for Differently-Abled People in Multi-Layered Buildings Based on Assistance Ratio

Simulations on Evacuation Strategy and Evacuation Process of the Subway Train Under the Fire

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