Application of a one-dimensional thermal flame spread model on predicting the rate of heat release in the SBI test

Tuula Hakkarainen (Corresponding Author), Matti Kokkala

    Research output: Contribution to journalArticleScientificpeer-review

    17 Citations (Scopus)

    Abstract

    A one‐dimensional thermal flame spread model was applied to predict the rate of heat release in the single burning item (SBI) test on the basis of the cone calorimeter data. The input parameters were selected according to the features of the SBI test and using particle board as a model tuning material. The features of the measured and calculated rate of heat release curves were compared for a series of 33 building products. The fire growth rate (FIGRA) indices were calculated to predict the classification in the forthcoming Euroclass system. The model gave correct classification for 90% of the products studied. An essential feature of the model is that only one cone calorimeter test at the exposure level of 50 kW m−2 is needed. The model, therefore, provides a practical tool for product development and quality control.
    Original languageEnglish
    Pages (from-to)61-70
    Number of pages10
    JournalFire and Materials
    Volume25
    Issue number2
    DOIs
    Publication statusPublished - 2001
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Calorimeters
    Cones
    Particle board
    Product development
    Quality control
    Fires
    Tuning
    Hot Temperature

    Cite this

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    title = "Application of a one-dimensional thermal flame spread model on predicting the rate of heat release in the SBI test",
    abstract = "A one‐dimensional thermal flame spread model was applied to predict the rate of heat release in the single burning item (SBI) test on the basis of the cone calorimeter data. The input parameters were selected according to the features of the SBI test and using particle board as a model tuning material. The features of the measured and calculated rate of heat release curves were compared for a series of 33 building products. The fire growth rate (FIGRA) indices were calculated to predict the classification in the forthcoming Euroclass system. The model gave correct classification for 90{\%} of the products studied. An essential feature of the model is that only one cone calorimeter test at the exposure level of 50 kW m−2 is needed. The model, therefore, provides a practical tool for product development and quality control.",
    author = "Tuula Hakkarainen and Matti Kokkala",
    year = "2001",
    doi = "10.1002/fam.760",
    language = "English",
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    journal = "Fire and Materials",
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    Application of a one-dimensional thermal flame spread model on predicting the rate of heat release in the SBI test. / Hakkarainen, Tuula (Corresponding Author); Kokkala, Matti.

    In: Fire and Materials, Vol. 25, No. 2, 2001, p. 61-70.

    Research output: Contribution to journalArticleScientificpeer-review

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    T1 - Application of a one-dimensional thermal flame spread model on predicting the rate of heat release in the SBI test

    AU - Hakkarainen, Tuula

    AU - Kokkala, Matti

    PY - 2001

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    N2 - A one‐dimensional thermal flame spread model was applied to predict the rate of heat release in the single burning item (SBI) test on the basis of the cone calorimeter data. The input parameters were selected according to the features of the SBI test and using particle board as a model tuning material. The features of the measured and calculated rate of heat release curves were compared for a series of 33 building products. The fire growth rate (FIGRA) indices were calculated to predict the classification in the forthcoming Euroclass system. The model gave correct classification for 90% of the products studied. An essential feature of the model is that only one cone calorimeter test at the exposure level of 50 kW m−2 is needed. The model, therefore, provides a practical tool for product development and quality control.

    AB - A one‐dimensional thermal flame spread model was applied to predict the rate of heat release in the single burning item (SBI) test on the basis of the cone calorimeter data. The input parameters were selected according to the features of the SBI test and using particle board as a model tuning material. The features of the measured and calculated rate of heat release curves were compared for a series of 33 building products. The fire growth rate (FIGRA) indices were calculated to predict the classification in the forthcoming Euroclass system. The model gave correct classification for 90% of the products studied. An essential feature of the model is that only one cone calorimeter test at the exposure level of 50 kW m−2 is needed. The model, therefore, provides a practical tool for product development and quality control.

    U2 - 10.1002/fam.760

    DO - 10.1002/fam.760

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