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...

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Bibliographic Details
Main Authors: Jalal Rasulzade, Samir Rustamov, Bakytzhan Akhmetov, Yelaman Maksum, Makpal Nogaibayeva
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
topology optimization
deep learning
convolutional neural network
Res-U-Net
U-Net
Online Access:https://www.mdpi.com/2076-3417/13/1/479

Internet

https://www.mdpi.com/2076-3417/13/1/479

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