DocumentCode
2540397
Title
Apply GM (0,N) to the Weighting Anlysis in Timoshenko Beam System
Author
Wang, J.-R. ; Der-Wei Chen ; Kuan-Ying Lu ; Chang-Jhih Hong ; Cheng-Chung Chiu ; Ping-You Zang
Author_Institution
Dept. of Autom. Eng., Chienkuo Technol. Univ., Changhua, Taiwan
fYear
2010
fDate
13-15 Dec. 2010
Firstpage
461
Lastpage
464
Abstract
An experimental approach to the general gray model GMHN was adopted in this paper. Using the GM(0,N) model, we analyze the free vibrations of a Timoshenko beam-carrying multiple spring-mass system. The relative weighting between the five lowest natural frequencies generated by inputting the three variables k*, m* and ξ*. First, we used the data and experiments from past literature to derive the data through 693 experiments. The GM(0,N) model was then used to analyze the 693 experimental results in order to determine the relative weighting of the input variables on the natural frequency. The results showed that ξ* >; m* >; k*. The Matlab Toolbox was also used as an aid for calculating and analyzing large amounts of data, providing the field with a new direction for future analysis and experiments.
Keywords
beams (structures); grey systems; mathematics computing; springs (mechanical); vibrations; GM(0,N) model; GMHN; Matlab toolbox; Timoshenko beam system; free vibrations; general gray model; natural frequency; spring-mass system; weighting analysis; Analytical models; Automation; Electronic mail; Equations; Mathematical model; Vibrations; GM (0; Matlab; N); Timoshenko; relative weighting;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-4244-8891-9
Type
conf
DOI
10.1109/ICGEC.2010.121
Filename
5715469
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