Abstract
This study exposes the assessment of a piezo-actuated sensor for monitoring elastic variations (change in Young’s modulus) of a host structure in which it is attached. The host structure is monitored through a coupling interface connected to the piezo-actuated device. Two coupling interfaces were considered (an aluminum cone and a human tooth) for the experimental tests. Three different materials (aluminum, bronze and steel) were prepared to emulate the elastic changes in the support, keeping the geometry as a fixed parameter. The piezo device was characterized from velocity frequency response functions in pursuance to understand how vibration modes stimulate the electrical resistance through electrical resonance peaks of the sensor. An impedance-based analysis (1–20 kHz) was performed to correlate elastic variations with indexes based on root mean square deviation (RMSD) for two observation windows (9.3 to 9.7 kHz and 11.1 to 11.5 kHz). Results show that imposed elastic variations were detected and quantified with the electrical resistance measurements. Moreover, it was demonstrated that the sensitivity of the device was influenced by the type of coupling interface since the cone was more sensitive than the tooth in both observation windows. As a final consideration, results suggest that bio-structures (fruits and bone, among others) could be studied since these can modify naturally its elastic properties.
Highlights
In the structural health monitoring (SHM) field, predictive and preventive strategies are playing an important role in the prognosis of catastrophic scenarios in order to guarantee safety and reliability during the service of the structures
SHM presents advantages with respect to the preventive traditional way of diagnosis since it minimizes the operative costs of maintenance because it eliminates unnecessary technical checks
From a physical point of view, geometric and elastics variations in bio-structures could be considered as entities with invariant properties and traditional SHM techniques could be applied in the same way as in conventional structures
Summary
In the structural health monitoring (SHM) field, predictive and preventive strategies are playing an important role in the prognosis of catastrophic scenarios in order to guarantee safety and reliability during the service of the structures. SHM presents advantages with respect to the preventive traditional way of diagnosis since it minimizes the operative costs of maintenance because it eliminates unnecessary technical checks. With this technology the structures acquire an intelligence component since these could provide information of its functionality for which were designed. Some examples of bio-systems that can modify its properties are fruits [6], bone tissue [7], and plants [8], among others These changes are detected traditionally by several techniques that involve the use of chemical components that identify any variation in a passive way in laboratory tests. From a physical point of view, geometric and elastics variations in bio-structures could be considered as entities with invariant properties (slow changes) and traditional SHM techniques could be applied in the same way as in conventional structures
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