Presentation + Paper
20 April 2016 Damage sensitivity investigations of EMI technique on different materials through coupled field analysis
Bhrigu Joshi, Sailesh Adhikari, Suresh Bhalla
Author Affiliations +
Abstract
This paper presents a comparative study through the piezoelectric coupled field analysis mode of finite element method (FEM) on detection of damages of varying magnitude, encompassing three different types of structural materials, using piezo impedance transducers. An aluminum block, a concrete block and a steel block of dimensions 48×48×10 mm were modelled in finite element software ANSYS. A PZT patch of 10×10×0.3 mm was also included in the model as surface bonded on the block. Coupled field analysis (CFA) was performed to obtain the admittance signatures of the piezo sensor in the frequency range of 0-250 kHz. The root mean square deviation (RMSD) index was employed to quantify the degree of variation of the signatures. It was found that concrete exhibited deviation in the signatures only with the change of damping values. However, the other two materials showed variation in the signatures even with changes in density and elasticity values in a small portion of the specimen. The comparative study shows that the PZT patches are more sensitive to damage detection in materials with low damping and the sensitivity typically decreases with increase in the damping.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bhrigu Joshi, Sailesh Adhikari, and Suresh Bhalla "Damage sensitivity investigations of EMI technique on different materials through coupled field analysis", Proc. SPIE 9803, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016, 98032J (20 April 2016); https://doi.org/10.1117/12.2222031
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Aluminum

Chemical elements

Damage detection

Analytical research

Modeling

Sensors

Structural health monitoring

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