<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This article presents a comprehensive improvement in the experimental analysis of cracking processes in smooth and sharp V-notched samples taken from gas transport pipelines, utilizing the acoustic emission (AE) method. The research aimed to establish a robust correlation between the failure mechanisms of uni-axially tensile samples and the distinct characteristics of AE signals for enhanced quality management in pipeline integrity. The study encompassed materials from two different straight pipe sections, encompassing both long-term used materials and new, unused materials. Through the application of the k-means grouping method to AE signal analysis, we achieved the identification of AE signal parameters characteristic of various stages of the material destruction process. This advancement introduces a significant improvement in monitoring and managing the operational safety of pipeline networks, offering a methodology that leverages advanced acoustic emission signal analysis. The outcomes present significant implications for the pipeline industry by proposing methods to enhance safety systems and more effectively manage the integrity and quality of gas infrastructure.</p>
</abstract>

This article presents a comprehensive improvement in the experimental analysis of cracking processes in smooth and sharp V-notched samples taken from gas transport pipelines, utilizing the acoustic emission (AE) method. The research aimed to establish a robust correlation between the failure mechanisms of uni-axially tensile samples and the distinct characteristics of AE signals for enhanced quality management in pipeline integrity. The study encompassed materials from two different straight pipe sections, encompassing both long-term used materials and new, unused materials. Through the application of the k-means grouping method to AE signal analysis, we achieved the identification of AE signal parameters characteristic of various stages of the material destruction process. This advancement introduces a significant improvement in monitoring and managing the operational safety of pipeline networks, offering a methodology that leverages advanced acoustic emission signal analysis. The outcomes present significant implications for the pipeline industry by proposing methods to enhance safety systems and more effectively manage the integrity and quality of gas infrastructure.

Innovative acoustic emission method for monitoring the quality and integrity of ferritic steel gas pipelines

Production Engineering Archives

This work is licensed under the Creative Commons Attribution 4.0 International License.

This article presents a comprehensive improvement in the experimental analysis of cracking processes in smooth and sharp V-notched samples taken from gas...

Innovative acoustic emission method for monitoring the quality and integrity of ferritic steel gas pipelines

Data publikacji: 26 maj 2024

Zakres stron: 233 - 240

Otrzymano: 10 sty 2024

Przyjęty: 03 kwi 2024

DOI: https://doi.org/10.30657/pea.2024.30.22

Słowa kluczowe
Pipelines, Finite Element Method, Stress, Strain, Acoustic Emission Method

© 2024 Grzegorz Świt, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Innovative acoustic emission method for monitoring the quality and integrity of ferritic steel gas pipelines

Data publikacji: 26 maj 2024

Zakres stron: 233 - 240

Otrzymano: 10 sty 2024

Przyjęty: 03 kwi 2024

DOI: https://doi.org/10.30657/pea.2024.30.22

Słowa kluczowePipelines, Finite Element Method, Stress, Strain, Acoustic Emission Method

© 2024 Grzegorz Świt, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Pipelines, Finite Element Method, Stress, Strain, Acoustic Emission Method