ESTIMATION OF THE HEAT RELEASE RATE OF COMPARTMENT FIRES USING INVERSE FIRE MODELING WITH GENETIC ALGORITHM

Abstract

A sudden accident or a natural catastrophe that causes great damage or loss of life. From these hazards fire incidents are the major accidents that hamper the progress and well being of mankind. Inverse Fire Model (IFM) is one of them, it can estimate the average heat release rate inside a building in an attempt to aid fire fighting operations. In this article, one separate compartments was made to represent an office that a fire may occur. Size of compartment was 10m x 10m x 3m. IFM are used to estimate the fire size in compartment. The IFM model describes the intensity of fire, fire conditions, inside a building. This model also tries to evaluate the fire conditions by employing the GA. The GA can use multiple parameters like MLR, vent dimensions, HRR etc. Another advantage of GA is that one can arrive at the ideal solution by giving different values of parameter in algorithms. This would result in getting a situation that it is very much near to the real values.