Estimation of Cyclic Stress–Strain Curves of Steels Based on Monotonic Properties Using Artificial Neural Networks

This paper introduces a novel method for estimating the cyclic stress–strain curves of steels based on their monotonic properties and plastic strain amplitudes, utilizing artificial neural networks (ANNs). ANNs were trained on a substantial number of experimental data for steels, collected from rele...

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Detalles Bibliográficos
Autores principales: Marohnić, Tea, Basan, Robert, Marković, Ela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385380/
https://www.ncbi.nlm.nih.gov/pubmed/37512284
http://dx.doi.org/10.3390/ma16145010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385380/
https://www.ncbi.nlm.nih.gov/pubmed/37512284
http://dx.doi.org/10.3390/ma16145010

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