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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
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2022-12-01
סדרה:Applied Sciences
נושאים:
topology optimization
deep learning
convolutional neural network
Res-U-Net
U-Net
גישה מקוונת:https://www.mdpi.com/2076-3417/13/1/479
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