• 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