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Time-domain identification of dynamic properties of layered soil by using extended Kalman filter and recorded seismic data

Yibin Zheng (郑亦斌)1, Wang Mansheng (王满生)2, He Liu (刘 荷)3, Ying Yao (姚 英)1 and Zhou Xiyuan (周锡元)4

  1. University of Virginia, Charlottesville, VA 22904-4743, USA

  2. Institute of Geophysics, China Earthquake Administration, Beijing 100036, China

  3. University of Alaska, Anchorage, USA

  4. Beijing University of Technology, Beijing 100083, China

Abstract: 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.

Keywords: soil-structure interaction; identification; extended Kalman filter; 2DOF model; equivalent lumped parameters; polynomial approximation; seismic data

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Copyright 2009 IEM. Journal of Earthquake Engineering and Engineering Vibration. All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as described below, without written permission from the Publisher. Copying of articles is not permitted except for personal and internal use, to the extent permitted by national copyright law, or under the terms of a license issued by the National Reproduction Rights Organization of China.