岩土材料的复杂和不确定性致使传统理论在模拟 和预测岩土工程问题经常显得无能为力。近年 来, 随着人工智能和大数据技术的快速发展, 人 工智能技术在岩土工程领域有了广泛应用, 例如 岩土参数的优化智能识别和预测、边坡变形的长 期预测、基坑开挖过程变形的实时监测和预测以 及盾构隧道的变形和盾构机刀盘参数的预测和 更新等。为此, 本专辑收集了在该研究领域具有 代表性的研究成果, 介绍了人工智能技术在岩土 工程领域的进展和未来发展潜力, 希望能帮助读 者快速了解人工智能技术在岩土工程中的应用, 以及推动岩土工程的智能化发展, 为实现岩土工 程智能化提供科学依据和技术支撑。
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Conflict of interest
Zhen-yu YIN, Yin-fu JIN, and Zhong-qiang LIU declare that they have no conflict of interest.
Introducing Guest Editor-in-Chief and Guest Editors:
Dr. Zhen-yu YIN has been an Editorial Board Member of Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering) since 2019.
Dr. Zhen-yu YIN has been an Associate Professor of Geotechnical Engineering at The Hong Kong Polytechnic University, China since 2018. Dr. YIN received his BEng in Civil Engineering from Zhejiang University in 1997, followed by a 5-year engineering consultancy at the Zhejiang Jiahua Architecture Design Institute. Then, he obtained his MSc and PhD in Geotechnical Engineering at Ecole Centrale de Nantes (France) in 2003 and 2006, respectively. Dr. YIN has been working as a postdoctoral researcher at Helsinki University of Technology (Finland), the University of Strathclyde (UK), Ecole Centrale de Nantes, and the University of Massachusetts (USA). In 2010, he joined Shanghai Jiao Tong University as a Special Researcher and received “Professor of Exceptional Rank of Shanghai Dong-Fang Scholar.” In 2013, he joined Ecole Centrale de Nantes as Associate Professor before moving to Hong Kong. Dr. YIN has published over 150 articles in peer reviewed international journals with an H-index of Web of Science of 33. Since 2012, he has been a member of the Granular Materials Committee of the American Society of Civil Engineers.
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Yin, Z., Jin, Y. & Liu, Z. Practice of artificial intelligence in geotechnical engineering. J. Zhejiang Univ. Sci. A 21, 407–411 (2020). https://doi.org/10.1631/jzus.A20AIGE1