DocumentCode :
2092619
Title :
Damage Identification Methods for Stiffness Mutation Position of Tower Structure Based on Dynamic Response Information Truncation
Author :
Gao, Baifeng ; Li, Huijian ; Li, Yanxia
Author_Institution :
Dept. of Eng. Mech., Yanshan Univ., Qinhuangdao, China
Volume :
1
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
389
Lastpage :
393
Abstract :
This paper provides one damage identification method for stiffness mutation position of tower structure based on dynamic response information truncation. On the basis of obtaining dynamic response information of tower structure under environment excitation, wavelet transform is adopted for structure damage location identification. When there is mutation point in integral stiffness of tower structure, stiffness mutation will make stiffness change caused by structure damage difficult to identify. Therefore, through stiffness structure analysis, dynamic response information of structure stiffness mutation position is truncated, and the truncated dynamic response information interval is extended, so as to eliminate the influence of Gibbs phenomenon on the boundary of initial dynamic response information interval, so that structure damage identification of extended information interval will be achieved by wavelet transform. Analysis result of examples shows that this method is very effective and reliable for damage identification of stiffness mutation position of tower structure.
Keywords :
dynamic response; inspection; structural engineering; wavelet transforms; Gibbs phenomenon; damage identification methods; environment excitation; stiffness mutation position; stiffness structure analysis; tower structure; truncated dynamic response information interval; wavelet transform; Computer science; Genetic mutations; Information analysis; Load forecasting; Paper technology; Poles and towers; Reliability engineering; Signal processing; Wavelet analysis; Wavelet transforms; damage identification; information extension; information truncation; stiffness mutation; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3746-7
Type :
conf
DOI :
10.1109/ISCSCT.2008.238
Filename :
4731451
Link To Document :
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