DocumentCode
2073383
Title
Parameter identification based on stabilization diagram with kernel fuzzy clustering method
Author
Liu, Hanbing ; Wu, Chunli ; Wan, Hongpeng ; Wang, Hanzhang
Author_Institution
Coll. of Transp., Jilin Univ., Changchun, China
fYear
2011
fDate
16-18 Dec. 2011
Firstpage
1185
Lastpage
1188
Abstract
Research has been carried out on parameter identification of the bridge structure based on stabilization diagram with kernel fuzzy clustering method in input space and stochastic subspace method. A newly stabilization diagram plotted frequency against arbitrary column data of modal assurance criterion is proposed without the consideration of damping. The presented compared circle method can distinguish the spurious and physical modes accurately, intelligently and no longer to need people´s subjective participation. Numerical simulation results of a simple beam bridge demonstrate the correctness and reliability of the employed approaches.
Keywords
beams (structures); bridges (structures); fuzzy set theory; mechanical stability; parameter estimation; pattern clustering; reliability; beam bridge; bridge structure; kernel fuzzy clustering method; parameter identification; reliability; stabilization diagram; stochastic subspace method; Bridges; Clustering methods; Educational institutions; Kernel; Mathematical model; Parameter estimation; Stochastic processes; bridge structure; kernel fuzzy clustering method in input space; parameter identification; stabilization diagram; stochastic subspace method;
fLanguage
English
Publisher
ieee
Conference_Titel
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4577-1700-0
Type
conf
DOI
10.1109/TMEE.2011.6199417
Filename
6199417
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