Application of ANN concepts for prediction of crack growth and remaining life of circumferentially cracked piping components under different loading scenarios

This paper presents the details of Artificial Neural Network (ANN) based models to predict crack depth and remaining life of circumferentially part-through cracked piping components used in the nuclear industry. Crack growth data from experimental studies on (i) straight pipes made up of SA 312 Type...

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Bibliografische Detailangaben

Hauptverfasser:	A. Ramachandra Murthy, Divyansh Kale, M. Saravanan, S. Vishnuvardhan
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2025-04-01
Schriftenreihe:	Nuclear Engineering and Technology
Schlagworte:	Piping component Dissimilar metal weld joint Part-through crack Crack depth Combined bending and torsion Remaining life
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S1738573324005473
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