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Sensors 2016, 16(10), 1765; doi:10.3390/s16101765

Experimental Study on Damage Detection in Timber Specimens Based on an Electromechanical Impedance Technique and RMSD-Based Mahalanobis Distance

School of Civil Engineering & Mechanics, Huazhong University of Science and Technology, Wuhan 430074, China
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Author to whom correspondence should be addressed.
Academic Editor: Vamsy P. Chodavarapu
Received: 20 July 2016 / Revised: 16 October 2016 / Accepted: 17 October 2016 / Published: 22 October 2016
(This article belongs to the Section Physical Sensors)

Abstract

In the electromechanical impedance (EMI) method, the PZT patch performs the functions of both sensor and exciter. Due to the high frequency actuation and non-model based characteristics, the EMI method can be utilized to detect incipient structural damage. In recent years EMI techniques have been widely applied to monitor the health status of concrete and steel materials, however, studies on application to timber are limited. This paper will explore the feasibility of using the EMI technique for damage detection in timber specimens. In addition, the conventional damage index, namely root mean square deviation (RMSD) is employed to evaluate the level of damage. On that basis, a new damage index, Mahalanobis distance based on RMSD, is proposed to evaluate the damage severity of timber specimens. Experimental studies are implemented to detect notch and hole damage in the timber specimens. Experimental results verify the availability and robustness of the proposed damage index and its superiority over the RMSD indexes. View Full-Text
Keywords: damage detection; timber specimen; electromechanical impedance; Mahalanobis distance; RMSD; experimental study damage detection; timber specimen; electromechanical impedance; Mahalanobis distance; RMSD; experimental study
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Wang, D.; Wang, Q.; Wang, H.; Zhu, H. Experimental Study on Damage Detection in Timber Specimens Based on an Electromechanical Impedance Technique and RMSD-Based Mahalanobis Distance. Sensors 2016, 16, 1765.

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