Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and their Interface under Uncertainty using Machine Learning

Structural health monitoring (SHM) systems use the non-destructive testing principle for damage identification. As part of SHM, the propagation of ultrasonic guided waves (UGWs) is tracked and analyzed for the changes in the associated wave pattern. These changes help identify the location of a stru...

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Veröffentlicht in:	arXiv.org 2021-03
Hauptverfasser:	De, Subhayan, Bhuiyan Shameem Mahmood Ebna Hai, Doostan, Alireza, Bause, Markus
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustic coupling Acoustic propagation Algorithms Artificial neural networks Computer Science - Learning Damage detection Elastic waves Gaussian process Image enhancement Image quality Machine learning Neural networks Nondestructive testing Parameter uncertainty Physics - Fluid Dynamics Propagation Structural damage Structural health monitoring Wave equations Wave propagation
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