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dc.contributor.advisorTrouve, Arnauden_US
dc.contributor.authorNeviackas, Andrew Williamen_US
dc.date.accessioned2007-09-28T15:00:14Z
dc.date.available2007-09-28T15:00:14Z
dc.date.issued2007-07-31en_US
dc.identifier.urihttp://hdl.handle.net/1903/7290
dc.description.abstractThe objective of this research is to develop a new paradigm in fire-fighting techniques and demonstrate the feasibility of using fire imaging technology (e.g., thermal imaging cameras to monitor smoke conditions from a burning building) combined with fire modeling software for real-time fire analysis to assist firefighter operations. This project focuses on the development of a prototype inverse fire modeling (IFM) algorithm. The IFM uses: MATLAB as the programming language; BRI2002 as the zone model; and a genetic algorithm for optimization. The IFM is tested as a stand-alone component in which the camera-based observations of smoke layer properties are replaced by data on the upper layer temperature (TUL) coming from a reference BRI simulation with a certain heat release rate (HRRref). The objective of the IFM algorithm is then to provide an estimate of HRRref from the sole knowledge of TUL. The performance of the IFM algorithm has been studied in a series of tests of gradually increasing complexity.en_US
dc.format.extent12803427 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.titleInverse fire modeling to estimate the heat release rate of compartment firesen_US
dc.typeThesisen_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.pqcontrolledEngineering, Generalen_US
dc.subject.pquncontrolledinverse fire modelen_US
dc.subject.pquncontrolledgenetic algorithmen_US
dc.subject.pquncontrolledthermal imaging cameraen_US
dc.subject.pquncontrolledzone fire modelen_US


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