Computational Acceleration of Topology Optimization Using Deep Learning

Topology optimization is a computationally expensive process, especially when complicated designs are studied, and this is mainly due to its finite element analysis and iterative solvers incorporated into the algorithm. In the current work, we investigated the application of deep learning methods to...

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Principais autores:	Jalal Rasulzade, Samir Rustamov, Bakytzhan Akhmetov, Yelaman Maksum, Makpal Nogaibayeva
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2022-12-01
Serija:	Applied Sciences
Teme:	topology optimization deep learning convolutional neural network Res-U-Net U-Net
Online dostop:	https://www.mdpi.com/2076-3417/13/1/479
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