Fire Safety Science · 2003 · 12 citations · 15 references
EngineeringBuilding ScienceGeoinformaticsFire ManagementSpatial AnalysisSpatial ModelingFire Damage AssessmentFire DynamicsFire ModelingFire Risk AssessmentFire SimulationFire Spread ProcessesCellular Automaton ModelingDynamic Systems ApproachFire Loss ModelingFire LossesFire SpreadFire Spread ModellingFire Spread ModelsFire Spread Prediction
Fires after earthquakes sometimes develop into conflagrations resulting in widespread losses of life and property. A geographic information system (GIS) model linked to property and valuation data is shown to be an appropriate tool for estimating urban fire losses. One approach uses a static buffering technique to define potential burnout zones that are sampled randomly to give estimates of losses. The other uses a dynamic cellular automaton technique for determining both the rate and extent of fire-spread in response to a wide range of factors including wind, radiation, sparking, branding, building separations and building claddings. The dynamic approach uses a set of ‘rules’ based on fire physics modified by historical data. The model runs in real time for single ignitions. The static method is used to estimate losses assuming a 12m separation will prevent fire spread All buildings are assumed combustible (upper bound case). The dynamic model assuming fire can not spread to buildings with non-combustible claddings and areas of vegetation are not flammable (lower bound case). The resulting losses are between NZ$50M and NZ$500M (excluding building contents), compared with NZ$5,000M for shaking losses for a magnitude 7.3 earthquake and a total building stock of NZ$19,000M.
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Structural design for fire safety
Jim Milke · Fire Safety Journal · 2002 · 408 citations
Engineering, Architectural Engineering, Civil Engineering +14
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An introduction to fire dynamics
G. M. Faeth · Combustion and Flame · 1986 · 213 citations · Full text
Natural Resources, Environmental Sciences, Dynamical Systems +9
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