Determination of Stress Concentration Factor for a Rectangular Bar with Fillet Under Axial Loading: An Artificial Neural Networks Approach
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 a...
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Format: | Article |
Language: | English |
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Galati University Press
2023-09-01
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Series: | The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science |
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Online Access: | https://www.gup.ugal.ro/ugaljournals/index.php/mms/article/view/6247 |
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author | Doina BOAZU |
author_facet | Doina BOAZU |
author_sort | Doina BOAZU |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-11T12:23:17Z |
format | Article |
id | doaj.art-f546ff575d4341d8ac2b320abe2ab937 |
institution | Directory Open Access Journal |
issn | 2668-4748 2668-4756 |
language | English |
last_indexed | 2024-03-11T12:23:17Z |
publishDate | 2023-09-01 |
publisher | Galati University Press |
record_format | Article |
series | The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science |
spelling | doaj.art-f546ff575d4341d8ac2b320abe2ab9372023-11-06T16:32:15ZengGalati University PressThe Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science2668-47482668-47562023-09-01463202810.35219/mms.2023.3.036247Determination of Stress Concentration Factor for a Rectangular Bar with Fillet Under Axial Loading: An Artificial Neural Networks ApproachDoina BOAZU0Department of Mechanical Engineering, “Dunarea de Jos” University of Galati, RomaniaUsing 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.https://www.gup.ugal.ro/ugaljournals/index.php/mms/article/view/6247stress concentration factor (scf)artificial neural network (ann)axial loading |
spellingShingle | Doina BOAZU Determination of Stress Concentration Factor for a Rectangular Bar with Fillet Under Axial Loading: An Artificial Neural Networks Approach The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science stress concentration factor (scf) artificial neural network (ann) axial loading |
title | Determination of Stress Concentration Factor for a Rectangular Bar with Fillet Under Axial Loading: An Artificial Neural Networks Approach |
title_full | Determination of Stress Concentration Factor for a Rectangular Bar with Fillet Under Axial Loading: An Artificial Neural Networks Approach |
title_fullStr | Determination of Stress Concentration Factor for a Rectangular Bar with Fillet Under Axial Loading: An Artificial Neural Networks Approach |
title_full_unstemmed | Determination of Stress Concentration Factor for a Rectangular Bar with Fillet Under Axial Loading: An Artificial Neural Networks Approach |
title_short | Determination of Stress Concentration Factor for a Rectangular Bar with Fillet Under Axial Loading: An Artificial Neural Networks Approach |
title_sort | determination of stress concentration factor for a rectangular bar with fillet under axial loading an artificial neural networks approach |
topic | stress concentration factor (scf) artificial neural network (ann) axial loading |
url | https://www.gup.ugal.ro/ugaljournals/index.php/mms/article/view/6247 |
work_keys_str_mv | AT doinaboazu determinationofstressconcentrationfactorforarectangularbarwithfilletunderaxialloadinganartificialneuralnetworksapproach |