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Proceedings Paper

Substructure resonance vibration testing for evaluating damage sensitive features: concept and preliminary results
Author(s): Masahiro Kurata; Kaede Minegishi; Zhenyun Tang; Akiko Suzuki; Andrew Burton
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Paper Abstract

This paper presents a testing method that offers an environment to evaluate the modal vibratory characteristics of structural components in building structures using ambient vibration responses, named substructure resonance vibration testing. In the proposed test configuration, a specimen of structural components is installed to a resonance frame that supports large fictitious mass and the resonance frequency of the entire system is set as the natural frequency of a building structure. The resonance frame is interfaced with a quasi-static loading system and a modal shaker. The specimen is damaged quasi-statically and, resonance vibration tests are conducted with the modal shaker at the presence of notable damage. The proposed method enables the vibratory evaluation of realistic damage in structural components without constructing a large specimen of entire structural systems. A proof-of-concept test was conducted with a quarterscale beam-column connection of a mid-rise steel building. The changes in vibratory characteristics were monitored using accelerometers and dynamic strain sensors. The preliminary test results show the effectiveness of the proposed test method for constructing a damage sensitive feature of structural components.

Paper Details

Date Published: 8 March 2014
PDF: 8 pages
Proc. SPIE 9061, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014, 90611E (8 March 2014); doi: 10.1117/12.2045098
Show Author Affiliations
Masahiro Kurata, Kyoto Univ. (Japan)
Kaede Minegishi, Kyoto Univ. (Japan)
Zhenyun Tang, Kyoto Univ. (Japan)
Akiko Suzuki, Kyoto Univ. (Japan)
Andrew Burton, Univ. of Michigan (United States)

Published in SPIE Proceedings Vol. 9061:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014
Jerome P. Lynch; Kon-Well Wang; Hoon Sohn, Editor(s)

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