scholarly journals Modified Fire Simulation Curve of Cabin Temperatures in Postcrash Fires for Fire Safety Engineering

2016 ◽  
Vol 2016 ◽  
pp. 1-8
Author(s):  
Qingsong Zhang ◽  
Naiwen Jiang ◽  
Hanpeng Qi ◽  
Xingna Luo
Keyword(s):  
Fire Safety ◽  
Safety Management ◽  
Influence Factors ◽  
Safety Engineering ◽  
Fire Simulation ◽  
Fire Dynamics ◽  
Aircraft Cabins ◽  
Fire Safety Engineering ◽  
Fire Safety Design ◽  
Scale Test

The fire simulation curve this paper presents is based on a curve which is proposed by Barnett in 2002. The curve is used to study the temperature change in a fire scenario in the interior of a rectangular compartment. However, it is not applicable to use in some long, limited spaces with arc boundaries, such as aircraft cabins. Some improvements and simplifications are made to the curve to solve this problem. A numerical simulation is conducted via the modified curve in a B737 fuselage during a postcrash fire. The result is compared with a fire dynamics simulator (FDS) simulation and a full-scale test undertaken by the National Aeronautics and Space Administration (NASA). The practicability and accuracy of the modified curve is proved through the relevant analysis and the main relative error analysis. The time to flashover is also predicted by the curve and the FDS simulation, respectively. Several parameters are chosen as influence factors to study their effect on the time to flashover in order to delay the occurrence of the flashover. This study may provide a technical support for the cabin fire safety design, safety management, and fire safety engineering.

A Fire Safety Engineering Simulation Model for Emergency Management in Airport Terminals Equipped with IoT and Augmented Reality Systems

2020 ◽  
Author(s):  
Emanuele Morra ◽  
Roberto Revetria ◽  
Domenica Loredana Scaramozzino ◽  
Gabriele Galli
Keyword(s):  
Augmented Reality ◽  
Simulation Model ◽  
Fire Safety ◽  
Safety Management ◽  
Fire Hazard ◽  
Safety Engineering ◽  
Environmental Sensors ◽  
Fire Safety Engineering ◽  
Airport Terminal ◽  
Fire Scenarios

The present paper proposes an innovative system architecture for the safety management of passenger evacuation inside an Airport Terminal, in case of a big indoor fire. The basic idea, in addition to fire hazard pre-assessment, is that information from a fast-predictive simulation of the fire evolution, immediately after the fire starting, could help the airport safety management system in taking sudden decisions to manage very specific fire scenarios. The system is based on an advanced technological interconnection among a simulation model of Fire Safety Engineering, IoT safety and environmental sensors, specific Augmented Reality equipment, and a remote server, able to exchange data by Wi-Fi connections and to elaborate them on a software platform. The ultimate scope of this system is to equip rescuers and airport safety managers with added value AR tools, like AR smart-glasses or tablets, usable for supporting safety decisions and emergency interventions.

scholarly journals A METHOD FOR LINKING SAFETY FACTOR TO THE TARGET PROBABILITY OF FAILURE IN FIRE SAFETY ENGINEERING

2014 ◽  
Vol 19 (Supplement_1) ◽  
pp. S212-S221 ◽  
Author(s):  
Depeng Kong ◽  
Shouxiang Lu ◽  
Håkan Frantzich ◽  
S. M. Lo
Keyword(s):  
Safety Factor ◽  
Fire Safety ◽  
Probability Of Failure ◽  
Practical Case ◽  
Safety Engineering ◽  
Event Tree ◽  
Fire Dynamics ◽  
Fire Safety Engineering ◽  
Target Probability ◽  
In Fire

Ensuring occupants’ safety in building fires is one of the most important aspects for fire safety engineering. Many uncertainties are inevitably introduced when estimating the occupant safety level, due to the high complexity of fire dynamics and the human behaviour in fires. Safety factor methods are traditionally employed to deal with such uncertainties. This kind of methods is easy to apply but leaves fire safety engineers unsure of the margin by which the design has failed. A method of linking safety factor and probability of failure in fire safety engineering is proposed in this study. An event tree is constructed to analyse potential fire scenarios that arise from the failure of fire protection systems. Considering uncertainties related to fire dynamics and evacuation, the traditional deterministic safety factor is considered as a random variable. Because there is no target probability of failure accepted by the whole fire safety engineering community, the concept of expected risk to life (ERL) is integrated to determine the target probability of failure. This method employs a Monte Carlo Simulation using Latin Hypercube Sampling (LHS) to calculate the required safety factor. A practical case study is conducted using the method proposed in this study.

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