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Updated: Jan 5, 2026

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

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

Nils Friedrich¹, Sören Ehlers²

¹Institute for Ship Structural Design and Analysis, Hamburg University of Technology (TUHH); nils.friedrich@tuhh.de.

Journal of Visualized Experiments : Jove

|October 15, 2019

Summary

This study presents a digital image correlation (DIC) method for early crack detection in welded specimens during fatigue testing. The technique visualizes crack initiation and propagation on the surface, offering verifiable results for laboratory conditions.

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

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Published on: March 7, 2018

Area of Science:

Materials Science
Mechanical Engineering
Non-destructive Testing

Background:

Fatigue testing is crucial for understanding material failure under cyclic loading.
Early detection of cracks in welded structures is vital for preventing catastrophic failure.
Current methods may lack the resolution or practicality for real-time, early-stage crack monitoring.

Purpose of the Study:

To introduce a practical and reproducible procedure for detecting and monitoring cracks in welded specimens during fatigue tests.
To utilize digital image correlation (DIC) for early identification of macroscopic cracks.
To track crack initiation and propagation throughout the fatigue testing process.

Main Methods:

Employing digital image correlation (DIC) for strain field measurements on welded specimens.
Acquiring images at fixed intervals during fatigue tests on resonance testing machines.
Analyzing computed strain fields to visualize elevated strains indicative of cracks.

Main Results:

Cracks become visible as areas of elevated strain in the DIC analysis.
The method allows for the monitoring of the entire specimen width to pinpoint crack initiation sites and timing.
Crack length development can be tracked from initiation to specimen rupture.

Conclusions:

The presented DIC procedure enables early detection and monitoring of surface-initiated cracks in welded specimens.
The method provides verifiable and comparable results due to image saving.
This technique offers direct visualization of macrocrack formation and propagation in laboratory fatigue tests.