摘要
在人工智能迅速发展的背景下,机器学习作为其重要组成部分,已经在许多科研领域显著提升了智能化、信息化和自动化的应用。岩土工程需要准确预测和分析实际工程,因此对庞大数据的高效准确处理分析是关键技术需求。机器学习因其在处理庞大数据方面的优势,正在成为岩土工程领域发展的重要驱动力。为了全面掌握机器学习在岩土工程领域的进展情况和应用成效,查阅大量的相关文献,并通过利用CiteSpace可视化分析工具对文献进行梳理,深入探索了研究现状与热点问题,发现了当前存在的挑战与发展瓶颈。研究结果发现,岩土工程领域已经开展了关于机器学习的广泛而深入的研究工作。然而,该领域的发展内容与研究方向呈现出一定程度的局限性。虽然新型算法为机器学习领域注入新活力,但算法最新成果在岩土工程中的应用并不广泛。鉴于此,应尽快找到解决其局限性的方法,并努力将最新成果应用到实际工程中,以推动岩土工程智能化水平的进一步提升。
Under the influence of rapid developments in artificial intelligence,machine learning,as an important component of it,has significantly enhanced the intelligence,informatization,and automation in many scientific research fields.Geotechnical engineering needs to accurately predict and analyze actual engineering,so efficient and accurate processing and analysis of huge data is the key technical requirement.Machine learning is becoming an important driving force for the development of geotechnical engineering because of its advantages in processing huge amounts of data.To fully understand the progress and effectiveness of machine learning in the field of geotechnical engineering,this paper reviews a large number of relevant literature and uses CiteSpace visualization analysis tools to organize them,deeply exploring the current research status and hot issues,and identifying existing challenges and development bottlenecks.Through literature review,it is found that extensive and in-depth research on machine learning has been carried out in the field of geotechnical engineering.However,the development content and research direction of this field show a certain degree of limitation;although new algorithms have injected new vitality into the field of machine learning,the application of the latest algorithm results in geotechnical engineering is not widespread.In view of this,it is urgent to find ways to resolve its limitations and strive to apply the latest achievements to practical engineering to further promote the intelligent level of geotechnical engineering.
作者
江晓童
张西文
吕颖慧
李仁杰
江浩
JIANG Xiao-tong;ZHANG Xi-wen;LÜYing-hui;LI Ren-jie;JIANG Hao(College of Civil Engineering and Architecture,University of Jinan,Jinan,Shandong 250002,China;Shandong Electric Power Engineering Consulting and Design Institute Co.,Ltd.,Jinan,Shandong 250002,China)
出处
《岩土力学》
北大核心
2025年第S1期419-436,共18页
Rock and Soil Mechanics
基金
山东省自然科学基金面上项目(No.ZR2023ME070)
