A deep convolutional neural network for topology optimization with perceptible generalization ability-Reference-Cited by-同舟云学术

A deep convolutional neural network for topology optimization with perceptible generalization ability

Published:2021-03-29 Issue: Volume: Page:1-16
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Wang Dalei¹,Xiang Cheng¹,Pan Yue²,Chen Airong¹,Zhou Xiaoyi³,Zhang Yiquan¹

Affiliation:

1. Department of Bridge Engineering, Tongji University, Shanghai, P.R. China

2. College of Electronic and Information Engineering, Tongji University, Shanghai, P.R. China

3. Bridge Engineering Department, School of Transportation, Southeast University, Nanjing, P.R. China

Funder

National Natural Science Foundation of China

Ministry of Transport of the People's Republic of China

Science and Technology Research and Development Project of China Communications Construction Company

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2021.1902998

Reference32 articles.

1. Efficient topology optimization in MATLAB using 88 lines of code

2. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

3. Banga, Saurabh, Harsh Gehani, Sanket Bhilare, Sagar Patel, and Levent Kara. 2018. “3D Topology Optimization Using Convolutional Neural Networks.” arXiv:1808.07440.

4. Optimal shape design as a material distribution problem

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