A scientometric review of structural topology optimization

Qizhou Guo

doi:10.54254/2755-2721/25/20230731

Research Article

Open access

Published on 7 November 2023

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Guo,Q. (2023). A scientometric review of structural topology optimization. Applied and Computational Engineering,25,43-49.

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A scientometric review of structural topology optimization

Qizhou Guo *^,1,

¹ Cornell University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/25/20230731

Abstract

Structural topology optimization seeks to identify the most efficient way to allocate material within a given domain to achieve a specific design objective. This research area has broad applications in various fields, including mechanical design and other physical disciplines. Over the past two decades, a great variety of applications and diverse research papers on structural topology optimization have been undertaken and published in the last two decades to highlight its acceptance and advantages. This paper presents a scientometric analysis of 5713 papers published between 2000 and 2022 to provide an overview and visualization of the development of structural topology optimization. While there are numerous approaches to topology optimization, this study focuses on presenting a quantitative analysis of the most popular and influential methods. The method used in this paper involved data collection and analysis through CiteSpace, one of the most popular software tools in this field. This paper provides a comprehensive overview of the latest developments of research in structural topology optimization and identifies key directions for future research. The analysis of the top 10 co-cited articles revealed four main approaches that have been developed for structural topology optimization.

Keywords

citespace, scientometric analysis, structural topology optimization

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References

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Cite this article

Guo,Q. (2023). A scientometric review of structural topology optimization. Applied and Computational Engineering,25,43-49.

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Functional Materials and Civil Engineering

Conference website: https://www.conffmce.org/

ISBN：978-1-83558-071-4(Print) / 978-1-83558-072-1(Online)

Conference date: 26 August 2023

Editor：Bhupesh Kumar

Series: Applied and Computational Engineering

Volume number: Vol.25

ISSN：2755-2721(Print) / 2755-273X(Online)

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