ISSN: 2168-9717

Journal of Architectural Engineering Technology
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Research Article

Stiffness and Damping Simultaneous Identification Based on Extrapolation of Unrecorded Response to Ground Motion

Kojima K1, Kuwabara M2, Yoshitomi S3, Fujita K1 and Takewaki I1*

1 Department of Architecture and Architectural Engineering, Kyoto University, Kyotodaigaku-Katsura, Nishikyo-ku, Kyoto 615-8540, Japan

2 NTT Urban Development, Tokyo 101-0032, Japan

3 Ritsumeikan University, Kusatsu 525-8577, Japan

*Corresponding Asuthor:
Takewaki I
Department of Architecture and Architectural Engineering
Kyoto University, Kyotodaigaku-Katsura
Nishikyoku, Kyoto 615-8540, Japan
Tel: 81-75-383-3294
Fax: 81-75-383-3297
E-mail: takewaki@archi.kyoto-u.ac.jp

Received January 03, 2013; Accepted January 23, 2014; Published January 31, 2014

Citation: Kojima K, Kuwabara M, Yoshitomi S, Fujita K, Takewaki I (2014) Stiffness and Damping Simultaneous Identification Based on Extrapolation of Unrecorded Response to Ground Motion. J Archit Eng Tech 3:117. doi:10.4172/2168-9717.1000117

Copyright: © 2014 Kojima K, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

A new method is proposed for stiffness-damping simultaneous identification in a building structure when responses are recorded at only two stories, i.e. the base and the second floor. Uniqueness of stiffness and damping is guaranteed if the transfer function of the absolute acceleration (or displacement) at the second floor relative to the base is given. Stiffness and damping distributions can then be obtained by minimizing the error between two transfer functions, i.e. the ratio of records at the above-mentioned two floors in the frequency domain and the corresponding theoretical value of the system with assumed stiffness and damping. The stiffness and damping for the theoretical transfer function are evaluated by using identification functions through the extrapolation of unrecorded story responses. The validity of the proposed method is investigated through numerical examples.

Keywords

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