Structural Damage Identification Method and Program Designing Based on Statistical Analysis

Article Preview

Abstract:

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.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 639-640)

Pages:

283-286

Citation:

Online since:

January 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Feng Xin, Li Guoqiang, Zhou Jing, State-of-the-art of statistical identification for structural health diagnosis in civil engineering, 2005,25(2):105-113.

Google Scholar

[2] Housner G W,Bergman L A,Caughey T K,et al.Structural control: past,resent,and future[J].Journal of Engineering Mechanics,1997,123(9):897-971.

Google Scholar

[3] LI Miao, HUANG Tian-li, REN Wei-xin, Structural novelty detection under temperature variation based on PCA and modal flexibility[J], JOURNAL OF VIBRATION AND SHOCK,2011,30(5):83-87.

Google Scholar

[4] Doebling S W. A Summary Review of Vibration Based on Damage Identigication Methods[J]. The Shock and Vibration Digest, 1998, 30(2): 92-105.

DOI: 10.1177/058310249803000201

Google Scholar

[5] Yang Shu-zi, Wu ya, Xuan Jian-ping, Time series Analysis in Engineering Application[M], WUHAN:Publishing Company of Huazhong University, 2007.

Google Scholar

[6] WU Sen&WEI Zhuobin.Damage Identification Based on AR Coefficients and PCA.The 2nd International Conference on Mechanic Automation and Control Engineering,Inner Mongolia China.2011.

Google Scholar

[7] Jeffrey Travis, Jim Kring, LabVIEW for Everyone, BEIJING: Electronic Industry Press,2011.

Google Scholar

[8] Sun Zong-guang: Dynamic Damage evaluateof Long-span Cable-stayed Bridge[D], Zhe Jiang University,2001.

Google Scholar