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Using Inverse Fire Modeling With Multiple Input Signals to Obtain Heat Release Rates in Compartment Fire Scenarios

dc.contributor.advisorMarshall, Andreen_US
dc.contributor.authorPrice, Michael Daviden_US
dc.description.abstractA set of multi-room compartment fire experiments were conducted to obtain measurements of hot gas layer temperature and depth. These measurements were used as an input to an inverse fire model that coupled a genetic algorithm with a zone fire model to calculate a unique solution to the original fire size and door opening used in the experiments. The objective of this research was to calculate simultaneously the real-time fire size and fire door opening of the experiment using a combination of hot gas layer temperature and hot gas layer height measurements from a multi-room compartment in concert with an inverse fire model. This research focused on increasing the robustness of an inverse fire model (IFM) with respect to physical accuracy and multi-variable calculations. The IFM successfully identified a unique solution and calculated fire size within 10-40% of experimental values.en_US
dc.titleUsing Inverse Fire Modeling With Multiple Input Signals to Obtain Heat Release Rates in Compartment Fire Scenariosen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentFire Protection Engineeringen_US
dc.subject.pqcontrolledApplied mathematicsen_US
dc.subject.pquncontrolledemergency fire respondersen_US
dc.subject.pquncontrolledfire modelingen_US
dc.subject.pquncontrolledgenetic algorithmen_US
dc.subject.pquncontrolledinverse fire modelingen_US
dc.subject.pquncontrolledlife safetyen_US

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