FDS 기반 1차원 열분해 모델을 이용한 화재 성장 예측에 관한 연구
An Investigation on Predicting Fire Growth Using the Fire Dynamics Simulator with a One-Dimensional Pyrolysis Model
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Abstract : This study was conducted to evaluate the effectiveness of a one-dimensional pyrolysis model in Fire Dynamics Simulator (FDS) simulations for predicting fire growth. To this end, conjugated radiative and convective heat transfer effects quantified from three-dimensional Fire Dynamics Simulator (FDS) simulations were incorporated into the one-dimensional pyrolysis model. ISO 5660-1 cone calorimetery experiments were also carried out on PMMA to analyze its pyrolysis and combustion characteristics and to compare the results with the FDS simulations. Convective heat transfer coefficients derived from three-dimensional simulations were used to refine the one-dimensional model, improving its prediction accuracy for burning rate and heat release rate. The results show that the improved model provides better agreement with ISO 5660-1 cone calorimetery data while maintaining computational efficiency, making it a viable tool for predicting fire growth.
Abstract
Abstract : This study was conducted to evaluate the effectiveness of a one-dimensional pyrolysis model in Fire Dynamics Simulator (FDS) simulations for predicting fire growth. To this end, conjugated radiative and convective heat transfer effects quantified from three-dimensional Fire Dynamics Simulator (FDS) simulations were incorporated into the one-dimensional pyrolysis model. ISO 5660-1 cone calorimetery experiments were also carried out on PMMA to analyze its pyrolysis and combustion characteristics and to compare the results with the FDS simulations. Convective heat transfer coefficients derived from three-dimensional simulations were used to refine the one-dimensional model, improving its prediction accuracy for burning rate and heat release rate. The results show that the improved model provides better agreement with ISO 5660-1 cone calorimetery data while maintaining computational efficiency, making it a viable tool for predicting fire growth.
