Paper Title:
The Dynamic Testing Method for Damage Diagnosis of Multi-Story Masonry Buildings
  Abstract

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)
Chapter
Chapter 2: Disaster Prevention and Reduction of Civil Engineering
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, 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
Authors
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Price
$32.00
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