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http://dx.doi.org/10.7731/KIFSE.2019.33.6.020

Development of a Numerical Model for the Rapidly Increasing Heat Release Rate Period During Fires (Logistic function Curve, Inversed Logistic Function Curve)  

Kim, Jong-Hee (Dept. of Disaster Science, University of Seoul)
Song, Jun-Ho (Dept. of Mathematics, University of Seoul)
Kim, Gun-Woo (Dept. of Mechanical and Information Engineering, University of Seoul)
Kweon, Oh-Sang (Korea Institute of Construction Technology)
Yoon, Myong-O (Dept. of Disaster Science, University of Seoul)
Publication Information
Fire Science and Engineering / v.33, no.6, 2019 , pp. 20-27 More about this Journal
Abstract
In this study, a new function with higher accuracy for fire heat release rate prediction was developed. The 'αt2' curve, which is the major exponential function currently used for fire engineering calculations, must be improved to minimize the prediction gap that causes fire system engineering inefficiency and lower cost-effectiveness. The newly developed prediction function was designed to cover the initial fire stage that features rapid growth based on logistic function theory, which has a more logical background and graphical similarity compared to conventional exponential function methods for 'αt2'. The new function developed in this study showed apparently higher prediction accuracy over wider range of fire growth durations. With the progress of fire growth pattern studies, the results presented herein will contribute towards more effective fire protection engineering.
Keywords
Heat release rate (HRR); Logistic function curve; Inversed logistic function curve; FDS simulation; Fire protection system detection sensor;
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