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Appl. Sci. 2017, 7(6), 562; doi:10.3390/app7060562

Damage Assessment Using Information Entropy of Individual Acoustic Emission Waveforms during Cyclic Fatigue Loading

Center for Risk and Reliability, Department of Mechanical Engineering, University of Maryland, 2181 Glenn L. Martin Hall, 4298 Campus Dr., College Park, MD 20742, USA
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Academic Editors: Tomoki Shiotani and Dimitrios G. Aggelis
Received: 24 February 2017 / Revised: 25 May 2017 / Accepted: 25 May 2017 / Published: 30 May 2017
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Abstract

Information entropy measured from acoustic emission (AE) waveforms is shown to be an indicator of fatigue damage in a high-strength aluminum alloy. Three methods of measuring the AE information entropy, regarded as a direct measure of microstructural disorder, are proposed and compared with traditional damage-related AE features. Several tension–tension fatigue experiments were performed with dogbone samples of aluminum 7075-T6, a commonly used material in aerospace structures. Unlike previous studies in which fatigue damage is measured based on visible crack growth, this work investigated fatigue damage both prior to and after crack initiation through the use of instantaneous elastic modulus degradation. Results show that one of the three entropy measurement methods appears to better assess the damage than the traditional AE features, whereas the other two entropies have unique trends that can differentiate between small and large cracks. View Full-Text
Keywords: information entropy; acoustic emission; fatigue; damage information entropy; acoustic emission; fatigue; damage
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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

Sauerbrunn, C.M.; Kahirdeh, A.; Yun, H.; Modarres, M. Damage Assessment Using Information Entropy of Individual Acoustic Emission Waveforms during Cyclic Fatigue Loading. Appl. Sci. 2017, 7, 562.

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