ANN model of stress-strain relationship for aluminium sponge in uniaxial compression

Faculty of Electrical and Computer Engineering, Department of Traction and Traffic Control, Cracow University of Technology, Warszawska 24, 31-155, Kraków, Poland

Journal of Theoretical and Applied Mechanics 2020;58(2):385-390

DOI: https://doi.org/10.15632/jtam-pl/116804

Article (PDF)

References (13)

KEYWORDS

artificial neural network design

compressive behaviour

open-cell aluminium

model equation

TOPICS

mechanics of materials

computational mechanics

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.

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eISSN:	2543-6309
ISSN:	1429-2955