Real-time topology optimization based on convolutional neural network by using retrain skill-Reference-Cited by-同舟云学术

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Real-time topology optimization based on convolutional neural network by using retrain skill

Published:2023-07-13 Issue:6 Volume:39 Page:4045-4059
ISSN:0177-0667
Container-title:Engineering with Computers
language:en
Short-container-title:Engineering with Computers

Author:

Yan Jun,Geng Dongling,Xu Qi,Li Haijiang

Funder

the National Natural Science Foundation of China

the Key Technology Research and Development Program of Shandong

the Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,General Engineering,Modeling and Simulation,Software

Link

https://link.springer.com/content/pdf/10.1007/s00366-023-01846-3.pdf

Reference48 articles.

1. Bendsøe MP, Kikuchi N (1988) Generating optimal topologies in structural design using a homogenization method. Comput Methods Appl Mech Eng 71:197–224. https://doi.org/10.1016/0045-7825(88)90086-2

2. Zhu JH, Zhang WH, Xia L (2016) Topology optimization in aircraft and aerospace structures design. Arch Comput Methods Eng 23:595–622. https://doi.org/10.1007/s11831-015-9151-2

3. Wu P, Ma Q, Luo Y, Tao C (2016) Topology optimization design of automotive engine bracket. Energy Power Eng 08:230–235. https://doi.org/10.4236/epe.2016.84021

4. Cheng KT (1981) On non-smoothness in optimal design of solid, elastic plates. Int J Solids Struct 17:795–810. https://doi.org/10.1016/0020-7683(81)90089-5

5. Bendsøe MP (1989) Optimal shape design as a material distribution problem. Struct Opt 1:193–202. https://doi.org/10.1007/BF01650949

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