抄録
We propose a new crack detection system based on natural frequency changes. In the previous study, we have succeeded in developing crack detection system based on genetic algorithm (GA). However, it is difficult to identity a crack in real time. In the present study, we employ the response surface method using the optimization tool Solver installed in Excel, which is less time consuming than the GA. Monitoring the minimum error between the natural frequencies obtained using the regression function and the natural frequencies obtained from the experiment, we detect the crack position and the crack length. By using both the response surface method and Excel macro program, we can identify the crack in real time.
