Toward identifying crack-length-related resonances in acoustic emission waveforms for structural health monitoring applications

Author:

Bhuiyan Md Yeasin1,Bao Jingjing1,Poddar Banibrata2,Giurgiutiu Victor1

Affiliation:

1. Department of Mechanical Engineering, University of South Carolina, Columbia, SC, USA

2. Intelligent Automation Inc., Rockville, MD, USA

Abstract

In this study, we focus on analyzing the acoustic emission waveforms of the fatigue crack growth despite the conventional statistics-based analysis of acoustic emission. The acoustic emission monitoring technique is a well-known approach in the non-destructive evaluation/structural health monitoring research field. The growth of the fatigue crack causes the acoustic emission in the material that propagates in the structure. The acoustic emission happens not only from the crack growth but also from the interaction of the crack tips during the fatigue loading in the structure. The acoustic emission waveforms are generated from the acoustic emission events; they propagate and create local vibration modes along the crack faces (crack resonance). In-situ fatigue and acoustic emission experiments were conducted to monitor the acoustic emission waveforms from the fatigue cracks. Several test specimens were used in the fatigue experiments, and corresponding acoustic emission waveforms were captured. The acoustic emission waveforms were analyzed and distinguished into three types based on the similar nature in both time and frequency domains. Three-dimensional harmonic finite element analyses were performed to identify the local vibration modes. The local crack resonance phenomenon has been observed from the finite element simulation that could potentially give the geometric information of the crack. The laser Doppler vibrometry experiment was performed to identify the crack resonance phenomenon, and the experimental results were used to verify the simulated results.

Funder

Office of Naval Research Global

Publisher

SAGE Publications

Subject

Mechanical Engineering,Biophysics

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