Artificial Neural Networks in Classification of Steel Grades Based on Non-Destructive Tests

Artificial Neural Networks in Classification of Steel Grades Based on Non-Destructive Tests

Assessment of the mechanical properties of structural steels characterizing their strength and deformation parameters is an essential problem in the monitoring of structures that have been in operation for quite a long time. The properties of steel can change under the influence of loads, deformatio...

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Bibliographic Details
Main Authors: Alexey Beskopylny, Alexandr Lyapin, Hubert Anysz, Besarion Meskhi, Andrey Veremeenko, Andrey Mozgovoy
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Materials
Subjects:
non-destructive test
machine learning
clustering
steel
cone indentation
impact
Online Access:https://www.mdpi.com/1996-1944/13/11/2445

Internet

https://www.mdpi.com/1996-1944/13/11/2445

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