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Localized Bathless Metal-Composite Plating via Electrostamping

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Published on: September 22, 2020

Enhanced damage imaging of a metallic plate using matching pursuit algorithm with multiple wavepaths.

Ho-Wuk Kim¹, Fuh-Gwo Yuan¹

¹Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, United States.

|May 12, 2018

Summary

This study introduces a new imaging algorithm for damage localization on metallic plates. By utilizing multiple wavepaths and an enhanced Matching Pursuit (MP) algorithm, it accurately identifies damage with fewer sensors.

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Area of Science:

Structural Health Monitoring
Non-Destructive Testing
Signal Processing

Background:

Interpreting sensor waveforms is challenging due to overlapping wavepaths, often leading to the exclusion of valuable data.
Current damage localization methods typically rely only on the first wave arrival, limiting accuracy and efficiency.

Purpose of the Study:

To develop an advanced imaging algorithm for precise damage localization on metallic plates.
To incorporate multiple wavepath information for improved damage detection accuracy.
To enhance signal processing for better separation and analysis of wave packets.

Main Methods:

Proposed an imaging algorithm utilizing piezoelectric wafers on a metallic plate.
Employed the Matching Pursuit (MP) algorithm for individual wave packet separation.
Introduced a novel dictionary of atom functions for the MP algorithm, optimized for Hann-windowed toneburst excitations.

Main Results:

The proposed dictionary demonstrated faster convergence and more accurate wave packet separation compared to Gaussian-based dictionaries.
Simulated studies validated the MP algorithm's performance against conventional methods.
The algorithm successfully localized damage using three to four piezoelectric wafers by incorporating multiple wavepaths.

Conclusions:

The developed imaging algorithm effectively utilizes multiple wavepaths for accurate damage localization.
The novel dictionary enhances the performance of the MP algorithm in wave packet decomposition.
This approach offers a more efficient and accurate method for structural damage assessment.