Identification of the Fracture Process in Gas Pipeline Steel Based on the Analysis of AE Signals

The paper presents the results of tests conducted to identify the damage process in specimens collected from the steel of a gas pipeline. The tests concerned specimens made of S235 steel subject to quasi-static loading—uniaxial tension until failure. Acoustic emission (AE) signals were recorded duri...

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Veröffentlicht in:	Materials Jg. 15; H. 7; S. 2659
Hauptverfasser:	Świt, Grzegorz, Dzioba, Ihor, Adamczak-Bugno, Anna, Krampikowska, Aleksandra
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 04.04.2022 MDPI
Schlagworte:	Acoustic emission Acoustics Cluster analysis Clustering Damage detection Elongation Frequency spectrum Gas pipelines Laboratories Natural gas Sensors Signal processing Structural steels Tensile strength Time-frequency analysis Vector quantization gas pipeline steel acoustic emission fracture process time-frequency analysis wavelet analysis k-means algorithm
ISSN:	1996-1944, 1996-1944
Online-Zugang:	Volltext
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