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Related Experiment Video

Updated: Jul 13, 2026

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

Numerical predictions and experiments for optimizing hidden corrosion detection in aircraft structures using Lamb

N Terrien¹, D Royer, F Lepoutre

¹ONERA, Structures and Damage Mechanics Department, BP 72, 92322 Châtillon, France. terrien@onera.fr <terrien@onera.fr>

|April 28, 2007

Summary

This study developed a hybrid model to detect hidden corrosion in aircraft structures using Lamb waves. The model enhances signal processing for early corrosion detection, identifying pits as small as 80 micrometers.

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Area of Science:

Materials Science
Mechanical Engineering
Non-Destructive Testing

Background:

Hidden corrosion in aircraft structures poses a significant safety risk.
Early detection of corrosion is crucial for maintaining structural integrity and preventing failures.
Lamb wave propagation is sensitive to structural defects, but interpreting signals from corrosion requires advanced modeling.

Purpose of the Study:

To develop and validate a hybrid model for investigating Lamb wave interaction with corrosion pits.
To enhance the sensitivity of Lamb wave-based methods for detecting small, hidden corrosion defects.
To improve signal processing techniques for early-stage corrosion detection in aircraft structures.

Main Methods:

A hybrid model combining finite element analysis (FEA) and modal decomposition was employed.
FEA was used to mesh the corrosion pit region, while modal decomposition analyzed reflected and transmitted waves.
Numerical simulations were performed to interpret complex waveforms and optimize detection algorithms.

Main Results:

The hybrid model successfully simulated Lamb wave interaction with corrosion pits.
Simulations aided in interpreting measured waveforms, particularly those affected by wave diffraction.
The method achieved detection of corrosion pits down to 80 micrometers in depth.
Distinguishing thickness variations from corrosion was demonstrated.

Conclusions:

The developed hybrid model provides a powerful tool for understanding Lamb wave scattering from corrosion.
Optimized signal processing based on this model enables early detection of subtle corrosion damage.
The experimental setup has been successfully applied to test actual aircraft structures.