Bulletin of Japan Association for Fire Science and Engineering

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Authors proposed a predicting method for unexposed surface temperature of a wall using "inclusive thermal conductivity," which considers heat and moisture transfer and influence of cracks in a material. In this study, the unexposed surface temperature of walls made in ALC was predicted, accompanying with increase of the thickness of ALC(AAC) which contains a lot of mois-ture and various thicknesses. Since the inclusive thermal conductivities are estimated for each divided layers of numerical model based on the internal and unexposed surface temperature measured in fire resistance tests, the inclusive thermal conductivities of ALC were estimated so as to match the temperature inside the ALC of the fire resistance test. In the case of increasing the thick-ness of ALC, unexposed surface temperature prediction was predicted with assigned the inclusive thermal conductivity to addi-tional divided layer. The average values of former and latter layers were used as the assigned inclusive thermal conductivities of the layers. The sufficient accuracy was confirmed on practically prediction even when the thickness of ALC was doubled with the prediction method using the inclusive thermal conductivity.

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