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Deep-learning-based two-stage approach for real-time explicit topology optimization
更新时间：2025-05-26

    • Deep-learning-based two-stage approach for real-time explicit topology optimization

    • “In the field of topology optimization, researchers have proposed a two-stage real-time explicit topology optimization method based on deep learning, which saves more than 90% of computation time compared to traditional algorithms.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 10, Pages: 2942-2951(2023)
    • 作者机构：

      1.吉林大学 计算机科学与技术学院，长春 130012

      2.吉林大学 符号计算与知识工程教育部重点实验室，长春 130012

    • DOI：10.13229/j.cnki.jdxbgxb.20220119    

      CLC： TP399

    • Received：09 February 2022，

      Published：01 October 2023

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  • SUN Shu-yang,CHENG Wei-bin,ZHANG Hao-zhen,et al.Deep-learning-based two-stage approach for real-time explicit topology optimization[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(10):2942-2951. DOI： 10.13229/j.cnki.jdxbgxb.20220119.

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