Determination of Stress Concentration Factor for a Stepped Bar Under Bending Loading: An Artificial Neural Networks Approach

Autor:	Doina BOAZU
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	stress concentration factor (scf) artificial neural network (ann) bending loading Mining engineering. Metallurgy TN1-997
Zdroj:	The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science, Vol 46, Iss 3, Pp 29-38 (2023)
Druh dokumentu:	article
ISSN:	2668-4748 2668-4756
DOI:	10.35219/mms.2023.3.04
Popis:	Even today, charts and formulas derived from experimental determinations are used to obtain the stress concentration factor. Stress concentration factors from charts can be converted into numerical values using computational techniques. Stress concentration factor values were collected in a database and an Artificial Neural Network (ANN) model can be developed for improving the database. ANN model provides accuracy in obtaining the stress concentration factors. Using the static stress concentration factor for a stepped bar under a bending load we can quantify the impact of notches in fatigue.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/e2982dedcc264566a852654a0dd9b331 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF