Technical Papers
Oct 26, 2016

Building Damage Estimates Using Slowness Change in Propagating Waves

Publication: Journal of Structural Engineering
Volume 143, Issue 4

Abstract

This paper presents a damage-evaluation method that estimates the damage level of buildings using ambient vibration measurement and a seismic interferometry technique. A new index, named slowness change and which directly relates the reduction in story stiffness to the vibration signal’s travel-time delays in propagating waves, is introduced. The sensitivity of the slowness change to damage was examined through ambient vibration testing for a quarter-scale steel frame, where damage was simulated by removing steel links at member ends. The slowness changes computed from the measurement data increased significantly as the number of fractures increased and the story stiffness decreased. The results showed a strong relationship between the location and amount of simulated fractures and the slowness change. The paper also discusses the signal-processing and measurement parameters required to accurately identify the parameters of the propagating waves, error associated with signal processing and measurement, and a borderline between detectable and undetectable damage for both beam fractures and column fractures in steel frames.

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Acknowledgments

The authors gratefully acknowledge the funding support provided by the General Collaborative Research Program of DPRI, Kyoto University. The authors are also grateful to Dr. Yoshihisa Iio and Dr. Hiroshi Katao of DPRI, Kyoto University for their technical support. The assistance offered by the student members of the Nakashima-Kurata research group in the tests is highly appreciated. The authors also thank Dr. Nori Nakata and two anonymous reviewers for their careful and thoughtful reviews.

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Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 143Issue 4April 2017

History

Received: Jul 31, 2015
Accepted: Aug 29, 2016
Published online: Oct 26, 2016
Discussion open until: Mar 26, 2017
Published in print: Apr 1, 2017

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Authors

Affiliations

Mayako Yamaguchi
East Japan Railway Company, 2-2-2, Yoyogi, Shibuya-ku, Tokyo 151-0053, Japan.
Masahiro Kurata, M.ASCE [email protected]
Associate Professor, Disaster Prevention Research Institute, Kyoto Univ., Uji, Kyoto 611-0011, Japan (corresponding author). E-mail: [email protected]
Masatoshi Miyazawa
Associate Professor, Disaster Prevention Research Institute, Kyoto Univ., Uji, Kyoto 611-0011, Japan.

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