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作者:

Zheng, Yibin (Zheng, Yibin.) | Mansheng, Wang (Mansheng, Wang.) | Lin, He (Lin, He.) | Yao, Ying (Yao, Ying.) | Xiyuan, Zhou (Xiyuan, Zhou.)

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摘要:

A novel time-domain identification technique is developed for the seismic response analysis of soil-structure interaction. A two-degree-of-freedom (2DOF) model with eight lumped parameters is adopted to model the frequency-dependent behavior of soils. For layered soil, the equivalent eight parameters of the 2DOF model are identified by the extended Kalman filter (EKF) method using recorded seismic data. The polynomial approximations for derivation of state estimators are applied in the EKF procedure. A realistic identification example is given for the layered-soil of a building site in Anchorage, Alaska in the United States. Results of the example demonstrate the feasibility and practicality of the proposed identification technique. The 2DOF soil model and the identification technique can be used for nonlinear response analysis of soil-structure interaction in the time-domain for layered or complex soil conditions. The identified parameters can be stored in a database for use in other similar soil conditions. If a universal database that covers information related to most soil conditions is developed in the future, engineers could conveniently perform time history analyses of soil-structural interaction.

关键词:

Parameter estimation Degrees of freedom (mechanics) Kalman filtering Seismology Mathematical models Nonlinear control systems Soils Time domain analysis Database systems Computer simulation

作者机构:

  • [ 1 ] [Zheng, Yibin]University of Virginia, Charlottesville, VA 22904-4743, United States
  • [ 2 ] [Zheng, Yibin]University of Virginia, 351 McCormick Road., Charlottesville, VA 22904-4743, United States
  • [ 3 ] [Mansheng, Wang]Institute of Geophysics, China Earthquake Administration, Beijing 100036, China
  • [ 4 ] [Lin, He]University of Alaska, Anchorage, United States
  • [ 5 ] [Yao, Ying]University of Virginia, Charlottesville, VA 22904-4743, United States
  • [ 6 ] [Xiyuan, Zhou]Beijing University of Technology, Beijing 100083, China

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来源 :

Earthquake Engineering and Engineering Vibration

ISSN: 1671-3664

年份: 2004

期: 2

卷: 3

页码: 237-247

2 . 8 0 0

JCR@2022

ESI学科: ENGINEERING;

被引次数:

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SCOPUS被引频次: 7

ESI高被引论文在榜: 0 展开所有

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