Computational Acceleration of Topology Optimization Using Deep Learning

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...

Bibliografiset tiedot
Päätekijät:	Jalal Rasulzade, Samir Rustamov, Bakytzhan Akhmetov, Yelaman Maksum, Makpal Nogaibayeva
Aineistotyyppi:	Artikkeli
Kieli:	English
Julkaistu:	MDPI AG 2022-12-01
Sarja:	Applied Sciences
Aiheet:	topology optimization deep learning convolutional neural network Res-U-Net U-Net
Linkit:	https://www.mdpi.com/2076-3417/13/1/479

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