Naslov
Implementing neural networks for FE post-processing
(Primjena neuronskih mreža za post-processing konačnih elemenata)

Autori
Zlatić, M. ; Čanađija, M.

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

ISBN
978-953-165-136-3

Skup
5th edition of annual conference for doctoral students of engineering and technology „MY FIRST CONFERENCE“

Mjesto i datum
Rijeka, Hrvatska, 23.09.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Nije recenziran

Ključne riječi
Deep learning, finite elements, data driven modelling

Sažetak
In recent years machine learning has become more popular especially since open source libraires such as TensorFlow have become available. Neural networks have been used in computational mechanics for a long time [1] but were a fringe area. However, with an increase in computational power and availability of easy to implement libraries such as Keras, machine learning is quickly gaining more traction [2, 3]. In this paper the possibility of using neural networks to post-process finite element displacements is investigated and proven to be a viable application. This proof of concept was done on 2D membrane finite elements and a reduction in computational time was observed.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo, Temeljne tehničke znanosti

POVEZANOST RADA