Skip to main content

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

Buy Article:

$51.00 plus tax (Refund Policy)

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.
No References
No Citations
No Supplementary Data
No Data/Media
No Metrics

Keywords: S–N curves; artificial neural networks; constant amplitude tests

Document Type: Research Article

Affiliations: 1: Institute for Automation, TU Krakau, Poland, 2:  Institute for Plant Engineering and Fatigue Analysis, TU Clausthal, Leibnizstrasse 32, D-38678 Clausthal-Zellerfeld, Germany

Publication date: 1999-08-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more