2017
DOI: 10.1016/j.firesaf.2017.09.005
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Data-driven probabilistic post-earthquake fire ignition model for a community

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Cited by 31 publications
(13 citation statements)
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References 10 publications
(14 reference statements)
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“…The initial event, being the earthquake, may lead to a fire ignition. The probability of ignition inside a building can be quantified using the procedure discussed by Elhami Khorasani et al [89], as a function of earthquake intensity, characteristics of the community, and building construction type. The sprinklers after the earthquake may not be functional leading to an uncontrolled fire.…”
Section: Event Treementioning
confidence: 99%
“…The initial event, being the earthquake, may lead to a fire ignition. The probability of ignition inside a building can be quantified using the procedure discussed by Elhami Khorasani et al [89], as a function of earthquake intensity, characteristics of the community, and building construction type. The sprinklers after the earthquake may not be functional leading to an uncontrolled fire.…”
Section: Event Treementioning
confidence: 99%
“…Fire that followed the earthquake in a majority of these cases caused considerable damage. Based on our current design guidelines, buildings are generally designed for individual extreme events (i.e., earthquakes or fires only), but the structural response of buildings under cascading multi-hazard fire and earthquake events is not evaluated during the design process, and this is something to consider for resiliency planning in densely populated regions (Elhami Khorasani 2015; Elhami Khorasani et al 2015c). Previous studies on the response of structures in FFE scenarios analyze the problem using deterministic approaches and model thermal and seismic analyses in different programming environments Yassin et al 2008) due to the limited available tools which can analyze both loading events.…”
Section: Future Developmentsmentioning
confidence: 99%
“…Based on previous studies of the PEF performance of structures, several researchers evaluated the possibility of a fire occurring after an earthquake based on its intensity (D‫׳‬Orazio et al, 2014). They demonstrated that there is a relationship between the probability of ignition and several parameters, such as peak ground acceleration (PGA), possibility of structural collapse, and ground tension (Himoto and Tanaka, 2008;Khorasani et al, 2017). Scawthorn (2010) showed that there is a strong relationship between seismic intensity and the possibility of ignition (Scawthorn, 2010).…”
Section: Introductionmentioning
confidence: 99%