Analysis of mode shape variations using response surface methodology

被引:0
|
作者
Gallina, A. [1 ]
Uhl, T. [1 ]
机构
[1] AGH Univ Sci & Technol, Dept Robot & Mechatron, PL-30059 Krakow, Poland
关键词
D O I
暂无
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper addresses to the analysis of mode shape of a structure affected by parameter modification. Using approximating techniques it is possible to express the eigenvectors in terms of structural parameters of the studied model and follow the mode shape changes when a perturbation of those parameters is imposed. The result is a modeling of the eigenvectors that allows to quickly perform several analyses of the vibrating structure. However, during the modeling phase not-trivial problems could raise from the eigenvector scalability or from physical phenomena like mode swapping and mode veering. The paper, after a description of the implemented methodology, shows the results from a series of Monte Carlo Simulations that have been carried out in order to figure out the MAC and node lines dispersion.
引用
收藏
页码:699 / 712
页数:14
相关论文
共 50 条
  • [1] Response surface methodology for damage detection using frequency and mode shape
    Umar, Sarehati
    Bakhary, Norhisham
    Abidin, A. R. Z.
    [J]. MEASUREMENT, 2018, 115 : 258 - 268
  • [2] Shape optimization of castings by using successive response surface methodology
    Gustafsson, Erik
    Stroemberg, Niclas
    [J]. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2008, 35 (01) : 11 - 28
  • [3] Shape optimization of castings by using successive response surface methodology
    Erik Gustafsson
    Niclas Strömberg
    [J]. Structural and Multidisciplinary Optimization, 2008, 35 : 11 - 28
  • [4] Shape optimization for otter board using computational fluid dynamics analysis and response surface methodology
    Takahashi, Yuki
    Fujimori, Yasuzumi
    Hu, Fuxiang
    Kimura, Nobuo
    [J]. NIPPON SUISAN GAKKAISHI, 2017, 83 (06) : 950 - 960
  • [5] Analysis of Torque Pulsation Considering Interior Permanent Magnet Rotor Rib Shape Using Response Surface Methodology
    Im, Young-Hun
    Hwang, Seon-Ik
    Jang, Seok-Myeong
    Choi, Jang-Young
    Choi, Ji-Hwan
    [J]. IEEE TRANSACTIONS ON MAGNETICS, 2012, 48 (02) : 979 - 982
  • [6] Analysis of square threading process by using response surface methodology
    Karuppusamy, S.
    Kumar, B. Suresh
    Kumar, M. Ranjith
    Guru, K. Raja
    Rameshbabu, A. M.
    [J]. MATERIALS TODAY-PROCEEDINGS, 2021, 37 : 3417 - 3422
  • [7] Reliability analysis of shallow tunnels using the response surface methodology
    Hamrouni, Adam
    Dias, Daniel
    Sbartai, Badreddine
    [J]. UNDERGROUND SPACE, 2017, 2 (04) : 246 - 258
  • [8] White and Dark Layer Analysis Using Response Surface Methodology
    Ambrogio, Giuseppina
    di Renzo, Serena
    Gagliardi, Francesco
    Umbrello, Domenico
    [J]. MATERIAL FORMING - ESAFORM 2012, PTS 1 & 2, 2012, 504-506 : 1335 - 1340
  • [9] Sensitivity Analysis of Ozone Formation Using Response Surface Methodology
    Zhu, Yu-Huan
    Chen, Bing
    Zhang, Ya-Rui
    Liu, Xiao
    Li, Guang-Yao
    She, Jing
    Chen, Qiang
    [J]. Huanjing Kexue/Environmental Science, 2023, 44 (07): : 3639 - 3675
  • [10] Grinding analysis of Indian coal using response surface methodology
    Singh T.
    Awasthi A.
    Tripathi P.
    Gautam S.
    Gautam A.
    [J]. International Journal of Coal Science & Technology, 2016, 3 (2) : 184 - 190