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

Simple item page
dc.contributor.advisorMarshall, Andreen_US
dc.contributor.authorPrice, Michael Daviden_US
dc.contributor.departmentFire Protection Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2015-02-06T06:30:55Z
dc.date.available2015-02-06T06:30:55Z
dc.date.issued2014en_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.identifierhttps://doi.org/10.13016/M2K600
dc.identifier.urihttp://hdl.handle.net/1903/16133
dc.language.isoenen_US
dc.subject.pqcontrolledEngineeringen_US
dc.subject.pqcontrolledApplied mathematicsen_US
dc.subject.pquncontrolledemergency fire respondersen_US
dc.subject.pquncontrolledfireen_US
dc.subject.pquncontrolledfire modelingen_US
dc.subject.pquncontrolledgenetic algorithmen_US
dc.subject.pquncontrolledinverse fire modelingen_US
dc.subject.pquncontrolledlife safetyen_US
dc.titleUsing Inverse Fire Modeling With Multiple Input Signals to Obtain Heat Release Rates in Compartment Fire Scenariosen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Price_umd_0117N_15622.pdf
Size:
1.96 MB
Format:
Adobe Portable Document Format
Download

Collections

UMD Theses and Dissertations
Fire Protection Engineering Theses and Dissertations