Analyzing acoustic emission data to identify cracking modes in cement paste using an artificial neural network

•A new analysis procedure was developed to analyze and interpret AE data.•AE data driven from a compression test on a cement paste were classified.•An artificial neural network model was trained to discriminate the AE data.•The trained neural network was applied to discriminate the AE signals.•Crack...

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Veröffentlicht in:	Construction & building materials Jg. 267; H. C; S. 121047
Hauptverfasser:	Soltangharaei, V., Anay, R., Assi, L., Bayat, M., Rose, J.R., Ziehl, P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United Kingdom Elsevier Ltd 18.01.2021 Elsevier
Schlagworte:	Acoustic emission Artificial neural network Cement paste Crack mechanism Ray-tracing algorithm Unsupervised pattern recognition Crack mechanism Acoustic emission Artificial neural network Cement paste Ray-tracing algorithm Unsupervised pattern recognition
ISSN:	0950-0618, 1879-0526
Online-Zugang:	Volltext
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