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Updated: Oct 22, 2025

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation

Published on: September 29, 2019

Nonlinear Ultrasound Crack Detection with Multi-Frequency Excitation-A Comparison.

Frank Mevissen¹, Michele Meo¹

¹Research Centre, Department of Mechanical Engineering, University of Bath, Bath BA2 7AY, UK.

Sensors (Basel, Switzerland)

|August 28, 2021

Summary

This summary is machine-generated.

Multi-frequency nonlinear ultrasound enhances crack detection in materials. This advanced non-destructive testing method improves early damage identification compared to traditional single or double frequency approaches.

Keywords:

crack detection gas turbines modulation nonlinear ultrasound

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Area of Science:

Materials Science
Non-Destructive Testing
Acoustics

Background:

Nonlinear ultrasound is a key non-destructive testing (NDT) tool for early damage detection.
Nonlinear ultrasonic wave modulation, using multiple frequencies, shows promise for identifying material failures.
Existing methods often rely on harmonic generation or modulated responses.

Purpose of the Study:

To evaluate multi-frequency wave excitation for improved damage identification in materials.
To compare multi-frequency excitation against single and double excitation frequencies for crack detection.
To introduce a novel nonlinearity parameter grouping concept for early failure detection.

Main Methods:

Developed and applied multi-frequency wave excitation (more than two frequencies).
Derived an analytical solution for the one-dimensional wave equation with four fundamental frequencies.
Defined 64 individual and 30 group nonlinearity parameters for analysis.
Conducted experimental validation on cracked metal plates and turbine blades.

Main Results:

Multi-frequency excitation demonstrated superior performance in crack detection.
The study identified advantages over single and double excitation frequency methods.
A new nonlinearity parameter grouping approach was validated as an effective early failure indicator.

Conclusions:

Multi-frequency nonlinear ultrasound offers enhanced capabilities for detecting material cracks.
The developed parameter grouping method provides a robust approach for early failure identification.
This technique advances non-destructive testing for critical component inspection.