Smart System Identification of Super High-Rise Buildings using Limited Vibration Data during the 2011 Tohoku Earthquake

Authors

  • A. Ikeda Department of Architecture and Architectural Engineering, Kyoto University, Kyoto 615-8540, Japan Author
  • Y. Minami Department of Architecture and Architectural Engineering, Kyoto University, Kyoto 615-8540, Japan Author
  • K. Fujita Department of Architecture and Architectural Engineering, Kyoto University, Kyoto 615-8540, Japan Author
  • I. Takewaki Department of Architecture and Architectural Engineering, Kyoto University, Kyoto 615-8540, Japan Author

Keywords:

System identification, Structural health monitoring, Shear-bending model, High-rise building, ARX model, 2011 Tohoku earthquake, Time-varying identification

Abstract

A method of smart system identification of super high-rise buildings is proposed in which super high-rise buildings are modeled by a shear-bending system. The method is aimed at finding the story shear and bending stiffnesses of a specific story only from the horizontal floor accelerations. The proposed method uses a set of closed-form expressions for the story shear and bending stiffnesses in terms of the limited floor accelerations and utilizes a reduced shear-bending system with the same number of elements as the observation points. A difficulty of prediction of an unstable specific function in a low frequency range can be overcome by introducing an ARX model and discussing its relation with the Taylor series expansion coefficients of a transfer function. It is demonstrated that the shear-bending system can simulate the vibration records with a reasonable accuracy. It is also shown that the vibration records at two super high-rise buildings during the 2011 Tohoku (Japan) earthquake can be simulated with the proposed method including a technique of inserting degrees of freedom between the vibration recording points. Finally it is discussed further that the time-varying identification of fundamental natural period and stiffnesses can be conducted by setting an appropriate duration of evaluation in the batch least-squares method

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Published

2014-12-31

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Section

Articles