期刊介绍
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特刊征稿
特刊名称
Advancements in Geotechnical and Structural Engineering through Data-Driven Approaches
特刊介绍
征文主题
The guest editors are calling for paper submissions to this special issue to be published in journal of AI in Civil Engineering. The proposed special issue will comprise, primarily, invited contributions on the topic of “Advancements in Civil Engineering through Data-Driven Approaches”. The objective of the proposed special issue will be to present recent advances and to discuss current and emerging multi-disciplinary approaches in the field of engineering informatics. Consequently, this special issue seeks to present the latest advancements covering a broad range of topics, including but not restricted to
AI-powered structural health monitoring and maintenance optimization Data-driven uncertainty quantification and sensitivity analysis in engineering Physics-informed neural networks (PINNs) for advanced analysis in geotechnical and structural engineering PINN-based Optimization for Improved Performance in Engineering Applications AI-enabled life cycle assessment and sustainable engineering solutions Harnessing data-driven methods for enhanced risk assessment and management in geotechnical and structural engineering AI-guided Finite Element Analysis
基于人工智能的结构健康监测与维护优化 工程中的数据驱动不确定性量化与敏感性分析 物理信息神经网络（PINNs）在岩土工程和结构工程中的高级分析 基于PINN的优化方法提升工程应用性能 人工智能支持的生命周期评估与可持续工程解决方案 利用数据驱动方法增强岩土工程和结构工程中的风险评估与管理 人工智能引导的有限元分析
专刊特约编辑
Prof. Timon Rabczuk
Affiliation: Bauhaus- University Weimar
Biography: Timon Rabczuk is the Chair Professor of Computational Mechanics and Vice President of Bauhaus- University Weimar, member of the European Academy of Sciences and Arts, member of Europea Academia. Prof. Rabczuk obtained his PhD degree from KIT in Germany in 2002 which is followed by a 4-year postdoc in Northwestern University in the US working with the late Prof. Ted Belytschko. He has been working as research fellow in Technical University of Munich in Germany and senior lecturer in Canterbury University in New Zealand before he is apointed as Chair Professor in 2009 in Weimar, Germany. His key research area is computational mechanics, advanced computational materials design and AI for mechanics. He has so far published 3 academic monographs, 5 book chapters in Encyclopedia of Computational Mechanics, Encyclopedia of Aerospace Engineering, over 700 SCI papers, with H-Index of 111, attracting over 44000 times citations in Web of Science core collection.
Dr. Hongwei Guo
Affiliation: Beijing University of Technology
Biography: Hongwei Guo is a research fellow at Beijing University of Technology. His research focuses on applying artificial intelligence (AI) in civil engineering by integrating AI with numerical analysis to address critical issues, such as poor interpretability, limited reasoning capabilities, and difficulties in analyzing complex civil engineering scenarios in existing machine learning models. His research encompasses developing intelligent simulation methods with high robustness and generalizability, designing new materials, and conducting interpretable data mining in civil engineering. He has published 30 papers in SCI-indexed journals, six of which have been selected as ESI highly cited papers.
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截止日期
请在2025年11月01日之前完成投稿，如您对于本期特刊有任何问题，或者有投稿或审稿方面的问题，请联系期刊编辑部邮箱aice@tongji.edu.cn
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