SCIENTIFIC AND TECHNICAL SECTION: STRAIN-LIFE CURVES OF STEELS AND METHODS FOR DETERMINING THE CURVE PARAMETERS. PART 2. METHODS BASED ON THE USE OF ARTIFICIAL NEURAL NETWORKS
In: Strength of materials, Jg. 43 (2011), Heft 1, S. 1-14
Online
academicJournal
- print, 21 ref
Zugriff:
The authors look into the possibility of using artificial neural networks for predicting the deformation characteristics of steels (the parameters of the Basquin-Manson-Coffin strain-life curve equation) based on static strength and plasticity characteristics, by constructing four independent neural networks with different configurations of input and output data. The prediction of parameters of the Basquin―Manson―Coffin equation and the fatigue life calculations by means of artificial neural networks are demonstrated to provide a better accuracy in comparison to the available conventional methods.
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SCIENTIFIC AND TECHNICAL SECTION: STRAIN-LIFE CURVES OF STEELS AND METHODS FOR DETERMINING THE CURVE PARAMETERS. PART 2. METHODS BASED ON THE USE OF ARTIFICIAL NEURAL NETWORKS
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Autor/in / Beteiligte Person: | TROSHCHENKO, V. T ; KHAMAZA, L. A ; APOSTOLYUK, V. A ; BABICH, Yu. N |
Link: | |
Zeitschrift: | Strength of materials, Jg. 43 (2011), Heft 1, S. 1-14 |
Veröffentlichung: | New York, NY: Springer, 2011 |
Medientyp: | academicJournal |
Umfang: | print, 21 ref |
ISSN: | 0039-2316 (print) |
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