Inversion algorithm for Lamb-wave-based depth characterization of acoustic emission sources in plate-like structures

Brennan Dubuc; Arvin Ebrahimkhanlou; Stylianos Livadiotis; Salvatore Salamone

doi:10.1016/j.ultras.2019.105975

Inversion algorithm for Lamb-wave-based depth characterization of acoustic emission sources in plate-like structures

Ultrasonics. 2019 Nov:99:105975. doi: 10.1016/j.ultras.2019.105975. Epub 2019 Aug 8.

Authors

Brennan Dubuc¹, Arvin Ebrahimkhanlou¹, Stylianos Livadiotis¹, Salvatore Salamone²

Affiliations

¹ Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin, 301E E Dean Keeton St, Austin, TX 78712, USA.
² Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin, 301E E Dean Keeton St, Austin, TX 78712, USA. Electronic address: salamone@utexas.edu.

PMID: 31421310
DOI: 10.1016/j.ultras.2019.105975

Abstract

An inversion algorithm (termed AEDep) is proposed for estimating the depth of acoustic emission (AE) sources in plate-like structural components. The work is motivated by the need for characterizing early-stage fatigue crack growth in such components. The algorithm achieves depth estimation by automatically extracting the depth-dependent amplitude ratio between the fundamental Lamb modes which comprise the AE signals. A finite element model is designed to study the frequency-dependent forward problem of Lamb wave motion due to a given source, from which the relation between source depth and amplitude ratio is established. Elastodynamic theory is used to validate the model in the frequency domain, as well as to derive a sensor tuning factor which may be incorporated into the solution. The proposed algorithm was tested on two plate-like specimens: a 6061-T6 aluminum plate and a 2025-T6 aluminum aircraft fuselage panel. Validation of the algorithm was achieved by generating controlled AE sources at various depths along the edges of the specimens, in the form of Hsu-Nielsen pencil lead breaks. Good agreement was found in the aluminum plate between the true and estimated source depths. A slight decrease in accuracy was found in the fuselage panel between the true values and their estimations. However, both experimental cases demonstrated the ability to distinguish between sources originating near the mid-plane of a plate-like structure from those near the surface. Lastly, the fast computation of the inversion algorithm shows strong potential for real-time monitoring applications.

Keywords: Acoustic emission; Elastodynamics; Finite element method; Guided waves; Inverse problems; Lamb waves; Nondestructive evaluation; Structural health monitoring.