Paper
27 March 2015 Quantification of seismic damage in steel beam-column connection using PVDF strain sensors and model-updating technique
Akiko Suzuki, Masahiro Kurata, Xiaohua Li, Kaede Minegishi, Zhenyun Tang, Andrew Burton
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Abstract
This paper presents an experimental verification of a method of evaluating local damage in steel beam-column connections using modal vibratory characteristics under ambient vibrations. First, a unique testing method is proposed to provide a vibration-test environment which enables measurements of modal vibration characteristics of steel beamcolumn connection as damage proceeds. In the testing method, a specimen of structural component is installed in a resonance frame that supports large fictitious mass and the resonance frequency of the entire system is set as the natural frequency of a mid-rise steel building. The specimen is damaged quasi-statically, and resonance vibration tests are conducted with a modal shaker. The proposed method enables evaluation of realistic damage in structural components without constructing a large specimen of an entire structural system. The transition of the neutral axis and the reduction of the root mean square (RMS) of dynamic strain response are tracked in order to quantify damage in floor slabs and steel beams, respectively. Two specimens of steel beam-column connection with or without floor slab were tested to investigate sensitivity of the damage-related features to loss of floor composite action and fractures in steel beams. In the end, by updating numerical models of the specimens using the identified damage-related features, seismic capacities of damaged specimens were estimated.
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Akiko Suzuki, Masahiro Kurata, Xiaohua Li, Kaede Minegishi, Zhenyun Tang, and Andrew Burton "Quantification of seismic damage in steel beam-column connection using PVDF strain sensors and model-updating technique", Proc. SPIE 9435, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015, 94352E (27 March 2015); https://doi.org/10.1117/12.2085300
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KEYWORDS
Composites

Sensors

Ferroelectric polymers

Analytical research

Testing and analysis

Beam shaping

Environmental sensing

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