ANN model of stress-strain relationship for aluminium sponge in uniaxial compression
Authors:
- Marek Dudzik,
- Anna Małgorzata Stręk
Abstract
In this article, we present a proposition of a model of the compressive behaviour of open-cell aluminium with relation to the material apparent density. The research was based on experimental data from uniaxial compression tests conducted for two sample lots. These results were analysed with the use of neural networks in a specially designed algorithm. The main criterion for choosing a satisfactory approximation was mean absolute relative error MARE<5%. As a result of the analysis, the sought relation was extracted and is presented as a proposition of a new ANN model of the compressive stress-strain relationship for aluminium sponge.
- Record ID
- CUT1ad97cbd19f7419998c62e7e1a42ebde
- Publication categories
- ;
- Author
- Journal series
- Journal of Theoretical and Applied Mechanics, ISSN 1429-2955, e-ISSN 2543-6309
- Issue year
- 2020
- Vol
- 58, 2
- Pages
- 385-390
- Other elements of collation
- tab.; wykr.; Bibliografia (na s.) - 389-390; Bibliografia (liczba pozycji) - 13; Oznaczenie streszczenia - Streszcz. ang.; Numeracja w czasopiśmie - Vol. 58, 2
- Keywords in English
- artificial neural network design, compressive behaviour, open-cell aluminium, model equation
- DOI
- DOI:10.15632/jtam-pl/116804 Opening in a new tab
- URL
- http://jtam.pl/An-ANN-model-of-stress-strain-relationship-for-aluminium-sponge-in-uniaxial-compression,116804,0,2.html Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 70
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT1ad97cbd19f7419998c62e7e1a42ebde/
- URN
urn:pkr-prod:CUT1ad97cbd19f7419998c62e7e1a42ebde
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.