Recurrent Neural Networks and Three-Point Bending Test on the Identification of Material Hardening Parameters

Recurrent Neural Networks and Three-Point Bending Test on the Identification of Material Hardening Parameters

The continuous evolution of metallic alloys in the automotive industry has led to the development of more advanced and flexible constitutive models that attempt to accurately describe the various fundamental properties and behavior of these materials. These models have become increasingly complex, i...

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Bibliographic Details
Main Authors: Daniel J. Cruz, Manuel R. Barbosa, Abel D. Santos, Rui L. Amaral, Jose Cesar de Sa, Jose V. Fernandes
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Metals
Subjects:
machine learning
material parameter identification
three-point bending
recurrent neural networks (RNNs)
long short-term memory (LSTM)
Online Access:https://www.mdpi.com/2075-4701/14/1/84

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https://www.mdpi.com/2075-4701/14/1/84

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