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Parameter Identification Method Based on Model Degradation

Received: 10 December 2018     Published: 12 December 2018
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Abstract

Vortex-induced resonance is a complex coupling phenomenon. Vortex-induced vertical force (VIVF) model describes the characteristics of the vortex-induced force in resonance. Improper parameters can distort the model, so accurately identifying the parameters of the model is a current research hotspot. In this paper, a parameter identification method based on model degradation is proposed. A constant term is used to replace the harmonic force term in the model. The degenerated model is a linear combination of the nonlinear basis functions. Therefore, the linear fitting method is used to identify the model parameters. Based on the fit of VIVF, the performance of identification algorithm is evaluated. The results of Wilcoxon’s and Friedman’s nonparametric tests show that the identification algorithm is the best.

Published in Science Discovery (Volume 6, Issue 6)
DOI 10.11648/j.sd.20180606.28
Page(s) 489-494
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Long-Span Bridge, Vortex Induced Resonance, Parameter Identification, Nonparametric Test

References
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    Xiaoxia Tian. (2018). Parameter Identification Method Based on Model Degradation. Science Discovery, 6(6), 489-494. https://doi.org/10.11648/j.sd.20180606.28

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    Xiaoxia Tian. Parameter Identification Method Based on Model Degradation. Sci. Discov. 2018, 6(6), 489-494. doi: 10.11648/j.sd.20180606.28

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    Xiaoxia Tian. Parameter Identification Method Based on Model Degradation. Sci Discov. 2018;6(6):489-494. doi: 10.11648/j.sd.20180606.28

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  • @article{10.11648/j.sd.20180606.28,
      author = {Xiaoxia Tian},
      title = {Parameter Identification Method Based on Model Degradation},
      journal = {Science Discovery},
      volume = {6},
      number = {6},
      pages = {489-494},
      doi = {10.11648/j.sd.20180606.28},
      url = {https://doi.org/10.11648/j.sd.20180606.28},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20180606.28},
      abstract = {Vortex-induced resonance is a complex coupling phenomenon. Vortex-induced vertical force (VIVF) model describes the characteristics of the vortex-induced force in resonance. Improper parameters can distort the model, so accurately identifying the parameters of the model is a current research hotspot. In this paper, a parameter identification method based on model degradation is proposed. A constant term is used to replace the harmonic force term in the model. The degenerated model is a linear combination of the nonlinear basis functions. Therefore, the linear fitting method is used to identify the model parameters. Based on the fit of VIVF, the performance of identification algorithm is evaluated. The results of Wilcoxon’s and Friedman’s nonparametric tests show that the identification algorithm is the best.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Parameter Identification Method Based on Model Degradation
    AU  - Xiaoxia Tian
    Y1  - 2018/12/12
    PY  - 2018
    N1  - https://doi.org/10.11648/j.sd.20180606.28
    DO  - 10.11648/j.sd.20180606.28
    T2  - Science Discovery
    JF  - Science Discovery
    JO  - Science Discovery
    SP  - 489
    EP  - 494
    PB  - Science Publishing Group
    SN  - 2331-0650
    UR  - https://doi.org/10.11648/j.sd.20180606.28
    AB  - Vortex-induced resonance is a complex coupling phenomenon. Vortex-induced vertical force (VIVF) model describes the characteristics of the vortex-induced force in resonance. Improper parameters can distort the model, so accurately identifying the parameters of the model is a current research hotspot. In this paper, a parameter identification method based on model degradation is proposed. A constant term is used to replace the harmonic force term in the model. The degenerated model is a linear combination of the nonlinear basis functions. Therefore, the linear fitting method is used to identify the model parameters. Based on the fit of VIVF, the performance of identification algorithm is evaluated. The results of Wilcoxon’s and Friedman’s nonparametric tests show that the identification algorithm is the best.
    VL  - 6
    IS  - 6
    ER  - 

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Author Information
  • Computer and Information Engineering College, Hanshan Normal University, Chaozhou, China

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