Determination of Stress Concentration Factor for a Rectangular Bar with Fillet Under Axial Loading: An Artificial Neural Networks Approach

Auteur/ices

  • Doina BOAZU Department of Mechanical Engineering, “Dunarea de Jos” University of Galati, Romania

DOI :

https://doi.org/10.35219/mms.2023.3.03

Mots-clés :

Stress Concentration Factor (SCF), Artificial Neural Network (ANN), axial loading

Résumé

Using computer techniques, stress concentration factors from the graphs can be converted into numerical values. Stress concentration factor values were collected in a database and an Artificial Neural Network (ANN) model can be developed for improving and extending the database. ANN model provides accuracy in obtaining the stress concentration factor values.

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Publiée

2023-09-15

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Comment citer

1.
Determination of Stress Concentration Factor for a Rectangular Bar with Fillet Under Axial Loading: An Artificial Neural Networks Approach. Ann_UGAL_MMS [Internet]. 15 sept. 2023 [cité 2 nov. 2026];46(3):20-8. Disponible sur: https://ojs.ugal.ro/index.php/mms/article/view/6247

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