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Residual Stresses

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Residual stresses reside in a structure even after removing the original stress inducer. This phenomenon often arises from varied plastic deformations across different parts of a structure. Consider a rod stretched beyond its yield point. It will not regain its original length due to permanent deformation. Even after load removal, the rod does not entirely lose stress because of uneven plastic deformations, resulting in residual stresses. The computation of these stresses in structures is...

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Study on the Optimization of b-Value for Analyzing Weld Defects in the Primary System.

Do-Yun Jung¹, Young-Chul Choi¹, Byun-Young Chung¹

¹Korea Atomic Energy Research Institute, Daejeon 34057, Republic of Korea.

Sensors (Basel, Switzerland)

|December 17, 2024

Summary

This study enhances nuclear power plant safety by integrating a crack analysis algorithm into the Acoustic Leak Monitoring System (ALMS). This system uses acoustic emission (AE) signals for real-time crack growth monitoring and assessment.

Keywords:

ALMS RMS acoustic emission testing b-value felicity effect

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Area of Science:

Nuclear Engineering
Materials Science
Structural Health Monitoring

Background:

Primary system piping in nuclear power plants is critical for safety.
Early detection of crack growth is essential to prevent catastrophic failures.
Existing monitoring systems may lack the sensitivity for real-time crack evaluation.

Purpose of the Study:

To develop and validate a crack analysis algorithm for the Acoustic Leak Monitoring System (ALMS).
To enable real-time detection and quantitative assessment of crack growth in nuclear power plant piping.
To enhance the safety and structural integrity monitoring of critical infrastructure.

Main Methods:

Conducted fracture tests on welded specimens simulating nuclear power plant cold leg sections.
Measured acoustic emission (AE) signals correlated with strain using an AE testing system.
Analyzed AE signals using Kaiser and Felicity effects, and calculated RMS-based b-value for crack stability assessment.

Main Results:

AE signals effectively assessed crack stability and instability via Kaiser and Felicity effects.
The RMS-based b-value demonstrated reduced sensitivity to signal attenuation, enabling stable crack progression assessment.
RMS parameter, reflecting signal energy, proved effective for real-time crack growth monitoring.

Conclusions:

The integrated AE analysis method provides a practical approach for real-time crack monitoring in nuclear power plant piping.
This method enhances structural safety through quantitative crack progression assessment.
The findings support the advancement of safety monitoring systems in critical industrial applications.