%0 Journal Article
%T 国内隧道围岩领域研究进展知识图谱分析<br>Research Progress of Tunnel Surrounding Rock in China Based on Knowledge Map Analysis
%A 李安琪
%A 张好
%A 何漠然
%A 张涤之
%J Mine Engineering
%P 184-191
%@ 2329-731X
%D 2024
%I Hans Publishing
%R 10.12677/me.2024.122021
%X 随着交通强国战略的部署，我国隧道工程建设的投入逐年增加。隧道围岩相关研究掀起学术研究热潮。为量化分析我国隧道围岩领域的研究热点、学科发展脉络发展、领域领先团队及未来发展态势，以1992~2024年中国知网CNKI收录的2697篇文献为研究对象，借助文献计量分析软件CiteSpace，构建生成作者及机构合作网络、关键词共现、关键词突现图谱。研究表明：我国隧道围岩领域的研究成果丰富，研究历史久远，方向各异，学科呈现交叉融合等特性；国内领军人物及机构发文量多且平均水平较高，作者及机构间的合作积极，极具行业参考性；研究热点分布广泛，数值模拟、围岩变形、铁路隧道等关键词热度持续，理论研究和实践应用相呼应统一；未来，隧道围岩领域学科的发展将集中在盾构隧道、深度学习等方面。<br />
With the deployment of the strategy of the powerful country, the investment in tunnel engineering construction in our country increases year by year. The research on tunnels surrounding rock has set off an upsurge in academic research. In order to quantitatively analyze the research hotspots, discipline development context, field-leading teams and future development trends in the field of tunnel surrounding rock in China, 2697 kinds of literature collected by CNKI from 1992 to 2024 were taken as the research objects, and bibliometric analysis software CiteSpace was used. Construct and generate author and institution cooperation network, keyword co-occurrence, keyword emergence map. The research results show that the research achievements in the field of tunnel surrounding rock in China are rich, the research history is long, the direction is different, and the disciplines present the characteristics of cross-integration. The number of papers issued by domestic leading figures and institutions is large and the average level is high, and the cooperation between authors and institutions is active, which is a great reference for the industry; Research hotspots are widely distributed. Keywords such as numerical simulation, deformation of surrounding rock and railway tunnel continue to be hot, and theoretical research and practical application echo and unify; In the future, the development of tunnel surrounding rock disciplines will focus on shield tunnel, deep learning and other aspects.
%K 隧道围岩，量化分析，研究热点，数值模拟，深度学习<br>Tunnel Surrounding Rock
%K Quantitative Analysis
%K Research Hotspot
%K Numerical Simulation
%K Deep Learning
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=85110