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System Identification of Hysteretic Structures

  • Conference paper
IUTAM Symposium on Nonlinearity and Stochastic Structural Dynamics

Part of the book series: Solid Mechanics and its Applications ((SMIA,volume 85))

Abstract

Three different time-domain system identification algorithms are presented in this paper to estimate the parameters of an extended Bouc-Wen hysteretic model. These algorithms include the simplex, extended Kalman filter, and generalized reduced gradient methods. The effectiveness of the proposed algorithms is demonstrated through simulations of nonlinear systems with pinching and degradation characteristics. Due to very modest computing requirements, the proposed identification algorithms can be acceptable as a basic tool for estimating hysteretic parameters in engineering design.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, University of California at Berkeley, USA

    H. Zhang

  2. Department of Civil Engineering, University of Melbourne, Australia

    P. Paevere

  3. Department of Mechatronic Engineering and Instrumentation, Changsha Institute of Technology, People’s Republic of China, China

    Y. Yang

  4. CSIRO Building, Construction and Engineering, Australia

    G. C. Foliente

  5. Department of Mechanical Engineering, University of California at Berkeley, USA

    F. Ma

Authors
  1. H. Zhang
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  2. P. Paevere
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  3. Y. Yang
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  4. G. C. Foliente
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  5. F. Ma
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Editor information

Editors and Affiliations

  1. Department of Applied Mechanics, Indian Institute of Technology, Madras, India

    S. Narayanan

  2. Department of Civil Engineering, Indian Institute of Science, Bangalore, India

    R. N. Iyengar

  3. CBRI, Roorkee, India

    R. N. Iyengar

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© 2001 Springer Science+Business Media Dordrecht

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Zhang, H., Paevere, P., Yang, Y., Foliente, G.C., Ma, F. (2001). System Identification of Hysteretic Structures. In: Narayanan, S., Iyengar, R.N. (eds) IUTAM Symposium on Nonlinearity and Stochastic Structural Dynamics. Solid Mechanics and its Applications, vol 85. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0886-0_23

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  • DOI: https://doi.org/10.1007/978-94-010-0886-0_23

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-3808-9

  • Online ISBN: 978-94-010-0886-0

  • eBook Packages: Springer Book Archive

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