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Parameter Identification Method Based on Model Degradation

Received: 10 December 2018    Accepted:     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.

DOI 10.11648/j.sd.20180606.28
Published in Science Discovery (Volume 6, Issue 6, December 2018)
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), 2024. Published by Science Publishing Group

Keywords

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

References
[1] 项海帆.现代桥梁抗风理论与实践[M].人民交通出版社,2005。
[2] FUJINO Y, YOSHIDA Y. Wind-Induced Vibration and Control of Trans-Tokyo Bay Crossing Bridge [J]. Journal of Structural Engineering, 2002, 128(8): 1012-25.
[3] LI H, LAIMA S, OU J, et al. Investigation of vortex-induced vibration of a suspension bridge with two separated steel box girders based on field measurements [J]. Engineering Structures, 2011, 33(6): 1894-907.
[4] HARTLEN R T, CURRIE I G. Lift-oscillator model of vortex-induced vibration [J]. Journal of the Engineering Mechanics Division, 1970, 96(5): 577-91.
[5] SCANLAN R H, No. FHWA-RD-80- 50 [R]. Federal Highway Administration, Washington, DC, 1981.
[6] EHSAN F, SCANLAN R H. Vortex-Induced Vibrations of Flexible Bridges [J]. Journal of Engineering Mechanics, 1990, 116(6): 1392-411.
[7] LARSEN A. A generalized model for assessment of vortex-induced vibrations of flexible structures [J]. Journal of Wind Engineering & Industrial Aerodynamics, 1995, 57(2): 281-94.
[8] WU T, KAREEM A. Vortex-Induced Vibration of Bridge Decks: A Volterra Series Based Model [J]. Journal of Engineering Mechanics, 2013, 139(12): 1831-43.
[9] ZHU L D, MENG X L, GUO Z S. Nonlinear mathematical model of vortex-induced vertical force on a flat closed-box bridge deck [J]. Journal of Wind Engineering & Industrial Aerodynamics, 2013, 122(11): 69-82.
[10] MASHNAD M, JONES N P. A model for vortex-induced vibration analysis of long-span bridges [J]. Journal of Wind Engineering & Industrial Aerodynamics, 2014, 134(96-108).
[11] MARRA A M, MANNINI C, BARTOLI G. Measurements and improved model of vortex-induced vibration for an elongated rectangular cylinder [J]. Journal of Wind Engineering & Industrial Aerodynamics, 2015, 147(358-67.
[12] 孟晓亮.大跨度钢箱梁桥竖向涡激共振非线性特性和机理研究[D],2013。
[13] MARRA A M, MANNINI C, BARTOLI G. Van der Pol-type equation for modeling vortex-induced oscillations of bridge decks [J]. Journal of Wind Engineering & Industrial Aerodynamics, 2011, 99(6–7): 776-85.
[14] WENGA X G Y, CHENA H. A new approach to identifying aeroelastic parameters in nonlinear vortex induced force model [M]. The Seventh International Colloquium on Bluff Body Aerodynamics and Applications. Shanghai, China. 2012.
[15] TIAN X, YAN J, ZHOU Q. A novel method of parameter identification based on nonlinear empirical model for vortex- induced vibration [J]. Journal of Engineering Research, 2017, Vol. 5, No.( 4)(44-58).
[16] 梅长林,王宁.近代回归分析方法[M].科学出版社,2012。
[17] 薛薇.SPSS统计分析方法及应用[M].电子工业出版社, 2013。
[18] GARC A S, MOLINA D, LOZANO M, et al. A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization [J]. Journal of Heuristics, 2009, 15(6): 617.
Author Information
  • Computer and Information Engineering College, Hanshan Normal University, Chaozhou, China

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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://download.sciencepg.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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