Structural Damage Identification Method and Program Designing Based on Statistical Analysis

In order to realize the monitoring for the large-scale structures and find the change of its condition, a new damage feature factor is put forward. The damage feature factor is based on the PCA (principle component analysis) theory, analyzing the object of AR (Auto-regressive) model coefficient by the constant load, utilizing the theory of ellipse control figure. Then a program is designed combining the damage identification method with LabVIEW. Finally, an experiment is conducted on a steel frame model under different conditions. The results show that the first two principle components contain the main information of the structure condition, and the method can identify the changes of the structure condition correctly. Besides, the program works well and gives sound and light alarm under the damage condition.