APPLICATION OF ARTIFICIAL NEURAL NETWORK IN THE PREDICTION OF COMPRESSIVE STRENGTH OF LONG STANDING CONCRETE AFTER EXPOSURE TO HIGH TEMPERATURE

Based on test results, the compressive strength of standing concrete after exposure to high temperature is predicted by the method of artificial neural network (ANN). Good agreement is reached between the predicted results and the test data. The effects of high temperature, standing time after cooling, methods of cooling and curing on the compressive strength of concrete are discussed. The fire resistance performance of concrete exposed to high temperature fire is analyzed by the ANN. It is concluded that the ANN method is feasible to estimation of the compressive strength of standing concrete after exposure to high temperature in practice.