DocumentCode
3510744
Title
Application of the progressive approach in damage localization of plane-like structure
Author
Zhang, Xuejun ; Chen, Xiaozhen
Author_Institution
Dept. of Mech. Eng., Nan Yang Inst. of Technol., Nanyang, China
fYear
2009
fDate
20-24 July 2009
Firstpage
1081
Lastpage
1084
Abstract
Damage detection method based the static measured data and the application in the plane-like structures are studied in this paper. Static displacement curvature assurance coefficient (SDCAC) based on the grey relation theory is put forward for the damage localization. A numerical example of Two-fixed-end plane-like structure with single or multiple damages is used to examine the capability of the proposed method. The factors of measurement noise and incomplete test data are also discussed, the damage in the plane-like structure can be localized correctly through using static displacement curvature assurance coefficient, regardless of the number of measured displacement nodes. The result shows that the proposed method is effective to detect the damage location and extent. The application of the grey theory to the structural identification own wide prospective.
Keywords
displacement measurement; failure analysis; fault diagnosis; flaw detection; grey systems; shapes (structures); structural engineering; damage detection method; damage localization; grey relation theory; measurement noise; plane-like structure; progressive approach method; static displacement curvature assurance coefficient; two-fixed-end plane-like structure; Corrosion; Displacement measurement; Geometry; Information processing; Mechanical engineering; Mechanical variables measurement; Noise measurement; Petroleum; Shape; Testing; SDCAC; damage identification; the progressive approach method;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-4903-3
Electronic_ISBN
978-1-4244-4905-7
Type
conf
DOI
10.1109/ICRMS.2009.5270001
Filename
5270001
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