DocumentCode
3047842
Title
A method for structural damage identification using residual force vector and mode shape expansion
Author
Zhao, Jianhua ; Zhang, Ling
Author_Institution
MOE Key Lab. for Strength & Vibration, Xi´´an Jiaotong Univ., Xi´´an, China
fYear
2011
fDate
26-28 July 2011
Firstpage
945
Lastpage
949
Abstract
A method for structural damage identification using residual force vector and mode shape expansion is presented in this paper. To deal with the incompleteness of measured modal data, a mode shape expansion method is first introduced to match with all degrees of freedom of the finite element model under consideration. And then, the residual force vector is employed to locate the damage position and quantify the damage extent. In order to eliminate the influence of extra errors that caused by mode shape expansion and improve the efficiency of the methodology, residual force vector assurance criterion (RFVAC) is developed to analyze the sensitivity between two sets of residual force vectors in the health and damaged structures after mode shape expansion. Finally, the proposed method is numerically illustrated by a simply supported truss beam with three damage cases. Results indicate that the proposed method is effective for the structural damage identification when the measured mode shapes are incomplete.
Keywords
beams (structures); finite element analysis; maintenance engineering; structural engineering; supports; RFVAC; damage position; finite element model; mode shape expansion; residual force vector assurance criterion; structural damage identification; supported truss beam; Finite element methods; Force; Frequency measurement; Sensitivity; Shape; Shape measurement; Strain; damage extent; damage location; mode shape expansion; residual force vector; structural damage identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6002963
Filename
6002963
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