Topology optimization based on improved DoubleU-Net using four boundary condition datasets-Reference-Cited by-同舟云学术

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Topology optimization based on improved DoubleU-Net using four boundary condition datasets

Published:2024-05-03 Issue: Volume: Page:1-19
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Li Shun¹,Zeng PeiJian¹,Lin Nankai¹,Lu Maohua²,Lin Jianghao³⁴,Yang Aimin¹⁵

Affiliation:

1. School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, People's Republic of China

2. Guangzhou Shipyard International Company Limited, Guangzhou, People's Republic of China

3. School of Automation, Guangdong University of Technology, Guangzhou, People's Republic of China

4. School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, People's Republic of China

5. Lingnan Normal University, Zhanjiang, People's Republic of China

Funder

Key-Area Research and Development Program of Guangdong Province

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2024.2338189

Reference45 articles.

1. A level-set method for shape optimization

2. Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems

3. Two-stage convolutional encoder-decoder network to improve the performance and reliability of deep learning models for topology optimization

4. GANTL: Towards Practical and Real-Time Topology Optimization with Conditional GANs and Transfer Learning

5. Optimal shape design as a material distribution problem

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1. Real-time topology optimization based on multi-scale convolutional attention mechanism;Engineering Optimization;2024-07-09

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