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research-article

Case Study of Model-Based Inversion of the Angle Beam Ultrasonic Response from Composite Impact Damage

[+] Author and Article Information
John N. Wertz

Air Force Research Laboratory, 2977 Hobson Way, Wright-Patterson AFB, OH 45433
john.wertz.1@us.af.mil

Laura Homa

University of Dayton Research Institute, 300 College Park, Dayton, OH 45469
laura.homa.ctr@us.af.mil

John Welter

Air Force Research Laboratory, 2977 Hobson Way, Wright-Patterson AFB, OH 45433
john.welter.2@us.af.mil

Daniel Sparkman

Air Force Research Laboratory, 2977 Hobson Way, Wright-Patterson AFB, OH 45433
daniel.sparkman.1@us.af.mil

John Aldrin

Computational Tools, Gurnee, IL 60031
aldrin@computationaltools.com

1Corresponding author.

ASME doi:10.1115/1.4040233 History: Received October 27, 2017; Revised May 07, 2018

Abstract

The US Air Force seeks to improve lifecycle management of composite structures. Nondestructive characterization of damage is a key input to this framework. One approach to characterization is model-based inversion of ultrasound inspection data; however, the computational expense of simulating the response from damage represents a major hurdle for practicality. A surrogate forward model with greater computational efficiency and sufficient accuracy is therefore critical to enabling damage characterization via model-based inversion. In this work, a surrogate model based on Gaussian process regression is developed on the chirplet decomposition of the simulated quasi-shear scatter from delamination-like features that form a shadowed region within a representative composite layup. The surrogate model is called in the solution of the inverse problem for the position of the hidden delamination, which is achieved with <0.5% error in <20 minutes on a workstation computer for two unique test cases. These results demonstrate that solving the inverse problem from the ultrasonic response is tractable for composite impact damage with hidden delaminations.

Section 4: U.S. Gov Employees + Reg Authors
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