Identification of Structural Damage in Single Bay Steel Frame Using ANFIS Software

Damage to various structural elements of a structure will cause the structure to deteriorate and ultimately cause its complete failure. These kinds of damages must be recognized right away. It has been demonstrated that a number of methods work well for estimating damage based on natural frequencies and modes. Artificial Intelligence technique is an effective way to identify structural damage. This study aimed to determine the optimal ANFIS model for identifying single and multiple damages resulting from the frame's decreased modulus of elasticity. A variety of membership functions are employed in order to forecast the precise ANFIS model. The Gaussian membership function has proved to be the most accurate ANFIS model which has generated almost similar to the same natural frequencies with coefficient of determination (R2) close to 1. This allows ANFIS to be used effectively to predict damage in the framed structure.