A Preliminary Study of karlsson Model

• Main Authors: Sung, Mao-Ching, 宋茂清
• Other Authors: Chen, Chiun-Hsun
• Format: Others
• Language: zh-TW
• Published: 1998
• Online Access: http://ndltd.ncl.edu.tw/handle/27673807910886738698

碩士 === 國立交通大學 === 機械工程研究所 === 86 === Karlsson Model was developed by Dr. Bjorn Karlsson, a fire safety engineer and scientist in Sweden. This model utilizes the measurements obtained from two standardized bench-scale tests, Cone Calorimeter (CONE) and Literal Ignition and Flame Spread Test Apparatus (LIFT), as the input data to predict the fire growth in the full or 1/3 scale room tests. These input data consists of the heat release rate as a function of time, kpc, ignition temperature and flame spread parameter. The thesis focuses on the theory development of the numerical method and its program structure. Also a set of computational works are carried out by using the bench-scale fire test data, measured from local products, supplied by the Fire Laboratory of Architecture & Building Research Institute (ABRI), Ministry of Interior. The predicted results are then compared with the ones obtained from the large-scale fire room/corner test, complied with ISO 9705 standard. In the simulation of heat release rate, the trend and quantities are consistent in a general point of view. However, some shortcomes of the model are identified from the observation of the predicted results, such as the occurrence of pulse in heat release rate and the ignition delay. These can be improved by modifying the assumptions used in the prescribed fire scenario in the model. The computed hot-layer and ceiling surface temperatures are found over-predicted. It indicates that we should consider to apply the correct coefficient according to the material fire performance and to include the extra heat loss mechanisms, such as radiation and conduction to the ceiling and walls. Finally, according to the understanding of theory and structure of the model, the experience by executing the program and the comparison between the experimental and computational results, this thesis makes several recommendations and suggestions to improve the performance and predictive capability of Karlsson Model in the near future. The main purpose is to provide a good guidance for the development of fire modeling in the next five-year fire research program.