Analysis of acoustic emission waveforms from fatigue cracks

Md. Yeasin Bhuiyan; Jingjing Bao; Banibrata Poddar; Victor Giurgiutiu

doi:10.1117/12.2258337

5 April 2017 Analysis of acoustic emission waveforms from fatigue cracks

Md. Yeasin Bhuiyan, Jingjing Bao, Banibrata Poddar, Victor Giurgiutiu

Proceedings Volume 10170, Health Monitoring of Structural and Biological Systems 2017; 101702A (2017) https://doi.org/10.1117/12.2258337
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2017, Portland, Oregon, United States

Abstract

Acoustic emission (AE) monitoring technique is a well-known approach in the field of NDE/SHM. AE monitoring from the defect formation and failure in the materials were well studied by the researchers. However, conventional AE monitoring techniques are predominantly based on statistical analysis. In this study we focus on understanding the AE waveforms from the fatigue crack growth using physics based approach. The growth of the fatigue crack causes the acoustic emission in the material that propagates in the structure. One of the main challenges of this approach is to develop the physics based understanding of the AE source itself. The acoustic emission happens not only from the crack growth but also from the interaction of the crack lips during fatigue loading of the materials. As the waveforms are generated from the AE event, they propagate and create local vibration modes along the crack faces. Fatigue experiments were performed to generate the fatigue cracks. Several test specimens were used in the fatigue experiments and corresponding AE waveforms were captured. The AE waveforms were analyzed and distinguished into different groups based on the similar nature on both time domain and frequency domain. The experimental results are explained based on the physical observation of the specimen.

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Citation Download Citation

Md. Yeasin Bhuiyan, Jingjing Bao, Banibrata Poddar, and Victor Giurgiutiu "Analysis of acoustic emission waveforms from fatigue cracks", Proc. SPIE 10170, Health Monitoring of Structural and Biological Systems 2017, 101702A (5 April 2017); https://doi.org/10.1117/12.2258337

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