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基于CiteSpace的结构拓扑优化研究热点可视化分析

Visualization analysis of research hotspots on structural topology optimization based on CiteSpace.

作者信息

Zhong Yi, Jiang Xue-Tao, Yang Yong, Xu Ben-Lian, Zhu Qi-Xin, Wang Lei, Dong Xin-Feng

机构信息

College of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou, People's Republic of China.

School of Electronic & Information Engineering, Suzhou University of Science and Technology, Suzhou, People's Republic of China.

出版信息

Sci Rep. 2023 Oct 24;13(1):18166. doi: 10.1038/s41598-023-45447-y.

DOI:10.1038/s41598-023-45447-y
PMID:37875560
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10598221/
Abstract

Structural topology optimization has gained widespread attention due to more possibilities of innovative structural design. The current research focus/hotspots, application areas, main research scholars, institutions and the countries involved in structural topology optimization are visually presented through clustering and visual analysis based on CiteSpace. The four metric dimensions of the literatures in this paper are as follows: annual quantity of papers and core countries, core authors and co-authors' institutions, hotspots and burst terms, and the highly co-cited papers. The results show the research hotspots in this field are concentrated on keywords such as "level set method", "sensitivity analysis", "homogenization", "genetic algorithm", etc. Regarding the research frontier, "moving morphable component (MMC)", "additive manufacturing (AM)" and "deep learning" are hot topics. In addition, Y. Sui, Z. Kang and O. Sigmund, etc. have high publications. M. Bendsøe and O. Sigmund have high citations. Dalian University of Technology, Technical University of Denmark, etc. are prominent institutions. Moreover, China accounts for more than 34% in the terms of original WOS literatures following by the USA and Australia. This paper could identify structural topology optimization development patterns for the scholars concerned with this field, especially novices, to quickly focus and track the research priorities.

摘要

由于创新结构设计有更多可能性，结构拓扑优化受到广泛关注。基于CiteSpace的聚类和可视化分析，直观呈现了结构拓扑优化的当前研究重点/热点、应用领域、主要研究学者、机构以及涉及的国家。本文文献的四个度量维度如下：论文年发表量与核心国家、核心作者与共同作者机构、热点与突发词，以及高被引论文。结果表明，该领域的研究热点集中在“水平集方法”“灵敏度分析”“均匀化”“遗传算法”等关键词上。关于研究前沿，“移动可变组件（MMC）”“增材制造（AM）”和“深度学习”是热门话题。此外，隋允康、康庄和奥勒·西格蒙德等人发表量较高。迈克尔·本德索和奥勒·西格蒙德被引次数较高。大连理工大学、丹麦技术大学等是突出机构。此外，在WOS原始文献方面，中国占比超过34%，其次是美国和澳大利亚。本文可为关注该领域的学者，尤其是新手，识别结构拓扑优化的发展模式，以便快速聚焦和追踪研究重点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/ed99cc8cdb65/41598_2023_45447_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/2b02e72fcdc6/41598_2023_45447_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/2ef11eeaf25f/41598_2023_45447_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/1a88abcc9d2e/41598_2023_45447_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/ff3684f208e6/41598_2023_45447_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/4996313a4fc5/41598_2023_45447_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/cb129351d98a/41598_2023_45447_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/8e4e9ab2e2de/41598_2023_45447_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/e86520306e43/41598_2023_45447_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/6637152711d2/41598_2023_45447_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/80242fd0e3b4/41598_2023_45447_Fig10_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/efd782fa0d61/41598_2023_45447_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/2fb64fcd3a8e/41598_2023_45447_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/b1167def5c95/41598_2023_45447_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/ed99cc8cdb65/41598_2023_45447_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/2b02e72fcdc6/41598_2023_45447_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/2ef11eeaf25f/41598_2023_45447_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/1a88abcc9d2e/41598_2023_45447_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/ff3684f208e6/41598_2023_45447_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/4996313a4fc5/41598_2023_45447_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/cb129351d98a/41598_2023_45447_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/8e4e9ab2e2de/41598_2023_45447_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/e86520306e43/41598_2023_45447_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/6637152711d2/41598_2023_45447_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/80242fd0e3b4/41598_2023_45447_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/b479fdb0beb8/41598_2023_45447_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/efd782fa0d61/41598_2023_45447_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/2fb64fcd3a8e/41598_2023_45447_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/b1167def5c95/41598_2023_45447_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/10598221/ed99cc8cdb65/41598_2023_45447_Fig15_HTML.jpg

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本文引用的文献

[1]
Topology optimization design of three-dimensional multi-material and multi-body structure based on irregular cellular hybrid cellular automata method.

Sci Rep. 2022-4-4

[2]
Metal-Organic Frameworks as Surface Enhanced Raman Scattering Substrates with High Tailorability.

J Am Chem Soc. 2019-1-16

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