Two-model Monte Carlo simulation of fire scenarios

Simo Hostikka, Timo Korhonen, Olavi Keski-Rahkonen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    11 Citations (Scopus)


    A risk analysis tool called Probabilistic Fire Simulator (PFS) is developed for the computation of the distributions of fire model output variables and the sensitivities of the output variables to the inputs. PFS performs a Monte Carlo simulation using different fire models, including CFAST two-zone model and FDS fluid dynamics model. In this work, a new technique is developed for the use of two different fire models in the same Monte Carlo simulation. The two-model Monte Carlo technique provides a computationally effective means to improve the accuracy of the fast but inaccurate models, using the results of the more accurate but computationally more demanding models. The technique is tested in three scenarios: approximation of an analytical function, calculation of a ceiling jet temperature and a simulation of a simple room fire.
    Original languageEnglish
    Title of host publicationFire Safety Science
    Subtitle of host publicationProceedings of the eighth international symposium
    EditorsDaniel T. Gottuk, Biran Y. Lattimer
    PublisherInternational Association for Fire Safety Science (IAFSS)
    Publication statusPublished - 2005
    MoE publication typeA4 Article in a conference publication
    Event8th International Symposium on Fire Safety Science, IAFSS 2005 - Tsinghua University, Beijing, China
    Duration: 18 Sept 200523 Sept 2005
    Conference number: 8

    Publication series

    SeriesFire safety science


    Conference8th International Symposium on Fire Safety Science, IAFSS 2005
    Abbreviated titleIAFSS 2005


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