Determination of S-N curves with the application of artificial neural networks

Autor:	Harald Zenner, S. Narberhaus, P. Artymiak, L. Bukowski, Jerzy Feliks
Rok vydání:	1999
Předmět:	Engineering Quantitative Biology::Neurons and Cognition Artificial neural network Mechanics of Materials business.industry Mechanical Engineering Forensic engineering General Materials Science Artificial intelligence business Fatigue limit
Zdroj:	Fatigue Fracture of Engineering Materials and Structures. 22:723-728
ISSN:	1460-2695 8756-758X
DOI:	10.1046/j.1460-2695.1999.t01-1-00198.x
Popis:	The present paper describes the application of artificial neural networks for estimating the finite-life fatigue strength and fatigue limit. A comprehensive database with results of single-stage tests on specimens which simulate structural components is evaluated and prepared for processing with the use of neural networks. The available data are subdivided into different classes. A total of six different data classes are specified. The results of the prediction by means of neural networks are superior to those obtained with conventional methods for calculating the fatigue strength. The experimental results are estimated with high accuracy.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b35f7f387cbea2f95a53bd7b30fbb6a2 https://doi.org/10.1046/j.1460-2695.1999.t01-1-00198.x Zobrazit plný text záznamu Plný text ve formátu PDF