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Proceedings Paper

A robust signal processing method for quantitative high-cycle fatigue crack monitoring using soft elastomeric capacitor sensors
Author(s): Xiangxiong Kong; Jian Li; William Collins; Caroline Bennett; Simon Laflamme; Hongki Jo
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Paper Abstract

A large-area electronics (LAE) strain sensor, termed soft elastomeric capacitor (SEC), has shown great promise in fatigue crack monitoring. The SEC is able to monitor strain changes over a mesoscale structural surface and endure large deformations without being damaged under cracking. Previous tests verified that the SEC is able to detect, localize, and monitor fatigue crack activities under low-cycle fatigue loading. In this paper, to examine the SEC’s capability of monitoring high-cycle fatigue cracks, a compact specimen is tested under cyclic tension, designed to ensure realistic crack opening sizes representative of those in real steel bridges. To overcome the difficulty of low signal amplitude and relatively high noise level under high-cycle fatigue loading, a robust signal processing method is proposed to convert the measured capacitance time history from the SEC sensor to power spectral densities (PSD) in the frequency domain, such that signal’s peak-to-peak amplitude can be extracted at the dominant loading frequency. A crack damage indicator is proposed as the ratio between the square root of the amplitude of PSD and load range. Results show that the crack damage indicator offers consistent indication of crack growth.

Paper Details

Date Published: 12 April 2017
PDF: 10 pages
Proc. SPIE 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, 101680B (12 April 2017); doi: 10.1117/12.2260364
Show Author Affiliations
Xiangxiong Kong, The Univ. of Kansas (United States)
Jian Li, The Univ. of Kansas (United States)
William Collins, The Univ. of Kansas (United States)
Caroline Bennett, The Univ. of Kansas (United States)
Simon Laflamme, Iowa State Univ. (United States)
Hongki Jo, The Univ. of Arizona (United States)

Published in SPIE Proceedings Vol. 10168:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017
Jerome P. Lynch, Editor(s)

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