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RISS 인기검색어
- 검색키워드
- 저자 : Tsompanakis, J. (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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A near and far-field monitoring technique for damage detection in concrete structures
Providakis, Costas,Stefanaki, K.,Voutetaki, M.,Tsompanakis, J.,Stavroulaki, M. Techno-Press 2014 Structural monitoring and maintenance Vol.1 No.2
Real-time near and far-field monitoring of concrete structural components gives enough information on the time and condition at which damage occurs, thereby facilitating damage detection while in the same time evaluate the cause of the damage. This paper experimentally investigates an integrated monitoring technique for near and far-field damage detection in concrete structures based on simultaneous use of electromechanical admittance technique in combination with guided wave propagation. The proposed sensing system does not measure the electromechanical admittance itself but detect time variations in output voltages of the response signal obtained across the electrodes of piezoelectric transducers bonded on surfaces of concrete structures. The damage identification is based on the spectral estimation MUSIC algorithm. Experimental results show the efficiency and performance of the proposed measuring technique.
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A new damage identification approach based on impedance-type measurements and 2D error statistics
Providakis, Costas,Tsistrakis, Stavros,Voutetaki, Maristella,Tsompanakis, Yiannis,Stavroulaki, Maria,Agadakos, John,Kampianakis, Eleftherios,Pentes, George Techno-Press 2015 Structural monitoring and maintenance Vol.2 No.4
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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