The Dynamic Testing Method for Damage Diagnosis of Multi-Story Masonry Buildings

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 368-373)

Edited by:

Qing Yang, Li Hua Zhu, Jing Jing He, Zeng Feng Yan and Rui Ren

Pages:

1148-1151

DOI:

10.4028/www.scientific.net/AMR.368-373.1148

Citation:

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

Online since:

October 2011

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Price:

$35.00

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