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자료유형
학술저널
저자정보
Providakis, Costas (School of Architectural Engineering, Technical University of Crete) Tsistrakis, Stavros (School of Architectural Engineering, Technical University of Crete) Voutetaki, Maristella (School of Architectural Engineering, Technical University of Crete) Tsompanakis, Yiannis (School of Environmental Engineering, Technical University of Crete) Stavroulaki, Maria (School of Architectural Engineering, Technical University of Crete) Agadakos, John (School of Architectural Engineering, Technical University of Crete) Kampianakis, Eleftherios (School of Architectural Engineering, Technical University of Crete) Pentes, George (School of Architectural Engineering, Technical University of Crete)
저널정보
테크노프레스 Structural monitoring and maintenance Structural monitoring and maintenance 제2권 제4호
발행연도
2015.1
수록면
319 - 338 (20page)

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The electro-mechanical impedance (EMI) technique makes use of surface-bonded lead zirconate titanate (PZT) patches as impedance transducers measuring impedance variations monitored on host structural components. The present experimental work further evaluate an alternative to the conventional EMI technique which performs measurements of the variations in the output voltage of PZT transducers rather than computing electromechanical impedance (or admittance) itself. This paper further evaluates a variant of the EMI approach presented in a previous work of the present authors, suitable, for low-cost concrete structures monitoring applications making use of a credit card-sized Raspberry Pi single board computer as core hardware unit. This monitoring approach is also deployed by introducing a new damage identification index based on the ratio between the area of the 2-D error ellipse of specific probability of EMI-based measurements containment over that of the 2-D error circle of equivalent probability. Experimental results of damages occurring in concrete cubic and beam specimens are investigated under increasing loading conditions. Results illustrate that the proposed technique is an efficient approach for identification and early detection of damage in concrete structures.

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