REAL

Determination of GTN parameters using artifical neural network for ductile failure

Chahboub, Y. and Szávai, Sz. and Aguir, H. (2020) Determination of GTN parameters using artifical neural network for ductile failure. In: Solutions for Sustainable Development : Proceedings of the 1st International Conference on Engineering Solutions for Sustainable Development (ICESSD 2019), October 3-4, 2019, Miskolc, Hungary. CRC Press (Taylor&Francis Group), London, pp. 25-32. ISBN 978-0-367-42425-1 (print); 978-0-367-82403-7 (e-Book)

[img] Text
DeterminationofGTNparametersusingartificialneuralnetworkforductilefailure_cikk.pdf
Restricted to Repository staff only

Download (4MB)
Item Type: Book Section
Subjects: T Technology / alkalmazott, műszaki tudományok > TA Engineering (General). Civil engineering (General) / általános mérnöki tudományok
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 06 Apr 2021 14:05
Last Modified: 06 Apr 2021 14:05
URI: http://real.mtak.hu/id/eprint/123434

Actions (login required)

Edit Item Edit Item