Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

About the Combination of Cross-Correlation Analysis and Ultrasonic-GW Tomographic Technique for BVID Impact Detection Capability Assessment

Version 1 : Received: 29 May 2023 / Approved: 31 May 2023 / Online: 31 May 2023 (07:09:47 CEST)

How to cite: Ciminello, M.; Boffa, N.D.; Ameduri, S.; Monaco, E. About the Combination of Cross-Correlation Analysis and Ultrasonic-GW Tomographic Technique for BVID Impact Detection Capability Assessment. Preprints 2023, 2023052176. https://doi.org/10.20944/preprints202305.2176.v1 Ciminello, M.; Boffa, N.D.; Ameduri, S.; Monaco, E. About the Combination of Cross-Correlation Analysis and Ultrasonic-GW Tomographic Technique for BVID Impact Detection Capability Assessment. Preprints 2023, 2023052176. https://doi.org/10.20944/preprints202305.2176.v1

Abstract

Statistical based reconstruction methods and signal processing tooling techniques are implemented and used to detect delaminations or debondings within composite items. From literature it appears that, although a single procedure for the estimation of the structural health is a fast solution, a multiple analysis based on different reconstruction methods or different damage parameters could provide more detailed information about the location and the severity of possible failures. This work discusses the advantage of using cross-correlation analysis in a data-driven approach based on ultrasonic guided waves (GW) tomographic technique and piezoelectrics (PWAS) in pitch-catch configuration. In this sense, this work evidences an improvement in damage detection when the cross-correlation is included as part of the GW-based system for damage assessment approach. The specimens used as test structures to demonstrate the validity of the methodology derive from an aircraft wing test article where damages are specified as skin delamination produced by low energy impact.

Keywords

Composite structures; Structural health monitoring; Cross-correlation analysis; Guided waves; Piezoelectric sensors

Subject

Engineering, Aerospace Engineering

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