Active sensing of fatigue damage using embedded ultrasonics

Andrei Zagrai; Walter A. Kruse; Vlasi Gigineishvili

doi:10.1117/12.815650

8 April 2009 Active sensing of fatigue damage using embedded ultrasonics

Andrei Zagrai, Walter A. Kruse, Vlasi Gigineishvili

Proceedings Volume 7295, Health Monitoring of Structural and Biological Systems 2009; 72950F (2009) https://doi.org/10.1117/12.815650
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2009, San Diego, California, United States

Abstract

Embedded ultrasonics has demonstrated considerable utility in structural health monitoring of aeronautical vehicle. This active sensing approach has been widely used to detect and monitor cracks, delaminations, and disbonds in a broad spectrum of metallic and composite structures. However, application of the embedded ultrasonics for active sensing of incipient damage before fracture has received limited attention. The aim of this study was to investigate the suitability of embedded ultrasonics and nonlinear acoustic signatures for monitoring pre-crack fatigue damage in aerospace structural material. A harmonic load was applied to structural specimens in order to induce fatigue damage accumulation and growth. Specimens of simple geometry were considered and piezoelectric active sensors were employed for generation and reception of elastic waves. The elastic wave signatures were analyzed in the frequency domain using nonlinear impedance and nonlinear resonance methods. A relationship between fatigue severity and linear as well as nonlinear acoustic signatures was investigated and considered in the damage classification procedure. Practical aspects of the active sensing of the fatigue damage before fracture were discussed and prospective avenues for future research were suggested.

Citation Download Citation

Andrei Zagrai, Walter A. Kruse, and Vlasi Gigineishvili "Active sensing of fatigue damage using embedded ultrasonics", Proc. SPIE 7295, Health Monitoring of Structural and Biological Systems 2009, 72950F (8 April 2009); https://doi.org/10.1117/12.815650

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