Prediction of fire resistance of concrete filled tubular steel columns

摘要

A functional relationship between the fire resistance of a concrete filled steel column and the parameters which cause the fire resistance is represented using an artificial neural network. Experimental data obtained from previous laboratory fire tests are used for training the neural Network model. The model predicted values are compared with actual test results. The results Indicate that the model can predict the fire resistance with adequate accuracy required for Practical design purpose. The developed neutral network can be used to predict the fire Resistance of similar columns under fire by observing various factors influencing the resistance Such as : (a) structural factors, (b) material factors, and (c) loading conditions.