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
Link To Document :
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