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Related Experiment Video

Updated: Jun 14, 2025

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

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Published on: September 29, 2019

Crack Detection Method for Wind Turbine Tower Bolts Using Ultrasonic Spiral Phased Array.

Hongyu Sun^1,2, Jingqi Dong¹, Xi Diao¹

¹School of Physical Sciences and Engineering, Beijing Jiaotong University, Beijing 100044, China.

Sensors (Basel, Switzerland)

|August 29, 2024

Summary

Detecting fatigue cracks in wind turbine bolts is challenging. A new Fermat spiral array ultrasonic method improves detection accuracy for critical wind turbine components.

Keywords:

Fermat spiral array crack detection non-destructive testing ultrasonic phased array wind turbine bolts

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Area of Science:

Engineering
Materials Science
Non-Destructive Testing

Background:

High-strength bolts are vital for wind turbine tower integrity.
Fatigue cracks in bolts pose a significant risk to operational safety.
Current non-destructive testing methods struggle with detecting small, hidden cracks in bolt threads.

Purpose of the Study:

To develop an advanced ultrasonic phased array method for accurate crack detection in wind turbine bolts.
To overcome limitations of existing methods in characterizing small cracks at thread roots.

Main Methods:

Proposed an ultrasonic phased array element arrangement based on the Fermat spiral array.
The Fermat spiral array enhances element fill rate and reduces grating/sidelobe effects.
Achieved high-energy excitation and precise ultrasonic phased array imaging.

Main Results:

The Fermat spiral array method significantly improves the detection of small fatigue cracks.
Enhanced signal clarity by overcoming interference from dense thread signals.
Demonstrated accurate imaging capabilities for crack characterization.

Conclusions:

The Fermat spiral array ultrasonic method offers a promising solution for detecting critical flaws in wind turbine bolts.
This advancement contributes to the safety and reliability of wind power infrastructure.
Supports technological progress in the wind energy sector through improved component monitoring.