The Dynamic Testing Method for Damage Diagnosis of Multi-Story Masonry Buildings
A new method to diagnose the damage of masonry structure using artificial network is brought forward. The frequencies and the ratio of change for any two orders various frequencies is chosen as a damage indicator and is used to train the BP neural network, which can diagnose the damage of masonry structure. The result of the numerical computation shows that the BP neural network can diagnose the damage of masonry structure.
Qing Yang, Li Hua Zhu, Jing Jing He, Zeng Feng Yan and Rui Ren
F. G. Li and H. Yu, "The Dynamic Testing Method for Damage Diagnosis of Multi-Story Masonry Buildings", Advanced Materials Research, Vols. 368-373, pp. 1148-1151, 2012