师资队伍

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郭宏伟

职称职务:副研究员

E-mail:hongweiguo@bjut.edu.cn

通讯地址:北京市朝阳区平乐园100号

研究方向

1. 物理驱动机器学习算法及应用

2. 基于机器学习的岩土材料数智化建模与工程灾害控制

3. 薄壁结构的力学分析与设计

4. 基于机器学习的新材料优化与设计

个人简介

郭宏伟,男,校聘研究员,入选北京市海外高层次人才青年项目,北京工业大学新锐青年学者,北京工业大学高层次人才(青年优秀人才)。2018年毕业于中国科学院大学武汉岩土力学研究所工程力学专业,获工学博士学位。先后在德国汉诺威莱布尼兹大学做博士后研究员,以及在香港理工大学土木与环境工程系担任研究助理。研究领域为计算岩土力学,研究方向为基于先进数值方法的岩土体水力学特性与工程灾害控制研究。以第一/通讯作者在CMAMECSCG等领域主流和TOP期刊上发表SCI论文29篇,SCI他引2274次,单篇最高SCI他引410次。有6ESI高被引论文,其中3篇曾入选1‰热点论文。获德国洪堡基金会索菲亚博士后奖学金,并受聘为德国PhoenixD精英集群项目成员。作为主要骨干参与了国家自然科学基金项目3项、德国精英集群PhoenixD项目1项、香港研究资助局项目3项。现任中国岩石力学与工程学会人工智能技术实用化专业委员会委员、国际岩石力学与岩石工程学会(ISRM)会员、亚洲计算智能学会(ACIS)会员,中科院 1 Top 期刊 Computers and GeotechnicsAI in Civil Engineering客座编辑,Intelligent GeoengineeringSmart ConstructionData Science and ManagementJournal of Computational and Cognitive Engineering青年编委。

课程教学

本科生教学:《人工智能通识课》,《人工智能技术原理与应用》

研究生教学:《人工智能与土木工程:技术与应用》

科研项目

1. 德国科学基金会,德国精英集群PhoenixD项目:基于机器学习的工程问题数值求解,2021-2022,方向负责人

2. 国家自然科学基金重点项目, 2016-2020,主研

3. 国家自然科学基金面上项目, 2016-2019,主研

4. 香港研究资助局,2023-2024,主研

5. 北京市博士后科研活动经费资助,2025-2026,主持

荣誉和获奖

1. 获得德国洪堡基金会索菲亚科瓦雷夫斯卡亚博士后奖学金(2018-2022,资助率1/130

2. 中国力学学会岩土力学专业委员会主办的第二届连续-非连续数值分析方法及应用学术讨论会“优秀论文奖”(2018年)

主要论文论著

1). Hongwei Guo, Lele Zheng, Shan Lin, Miao Dong, Xitailang Cao, and Hong Zheng. A novel and robust Fourier-based Kolmogorov-Arnold Network in early warning of rockbursts from microseismic data. Stochastic Environmental Research and Risk Assessment (2025): 1-22. JCR 1区,IF: 3.6

2). Shan Lin, Miao Dong, Hongwei Guo*, Lele Zheng, Kaiyang Zhao, and Hong Zheng. Early warning system for risk assessment in geotechnical engineering using Kolmogorov-Arnold networks. Journal of Rock Mechanics and Geotechnical Engineering (2025). JCR 1区,IF: 10.2

3). Hongwei Guo, Chao Zhang, Hongyuan Fang, Timon Rabczuk, and Xiaoying Zhuang. Deep learning to evaluate seismic-induced soil liquefaction and modified transfer learning between various data sources. Underground Space (2025).JCR 1区,IF: 8.3

4). Lele Zheng, Shan Lin, Hongwei Guo*, Xitailang Cao, and Hong Zheng. Real-time rockburst assessment based on a novel hybrid convolutional long short-term memory network based on microseismic monitoring data. Engineering Failure Analysis 169 (2025): 109191. JCR 1区,IF: 5.7

5). Hongwei Guo, Zhen-Yu Yin. A novel physics-informed deep learning strategy with local time-updating discrete scheme for multi-dimensional forward and inverse consolidation problems. Computer Methods in Applied Mechanics and Engineering 421 (2024): 116819.JCR 1区,IF: 7.3

6). Xitailang Cao, Shan Lin, Zenglong Liang, Hongwei Guo*, Hong Zheng. Meshless numerical manifold method with novel subspace tracking and CSS locating techniques for slope stability analysis. Computers and Geotechnics 166 (2024): 106025.JCR 1区,IF: 6.2

7). Hongwei Guo, Xitailang Cao, Zenglong Liang, Shan Lin, Hong Zheng, and Hao Cui. Hermitian numerical manifold method for large deflection of irregular Föppl-von Kármán plates. Engineering Analysis with Boundary Elements 153 (2023): 25-38.JCR 1区,IF: 4.1

8). Hongwei Guo, Xiaoying Zhuang, Naif Alajlan, and Timon Rabczuk. Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials. Computational Mechanics 72(3) (2023): 513-524.JCR 1区,IF: 4.1

9). Hongwei Guo, Xiaoying Zhuang, Naif Alajlan, and Timon Rabczuk. Physics-informed deep learning for melting heat transfer analysis with model-based transfer learning[J]. Computers & Mathematics with Applications 143 (2023): 303-317. (Highly Cited Paper)JCR 1区,IF: 3.218

10). Hongwei Guo, Xiaoying Zhuang, Pengwan Chen, Naif Alajlan, and Timon Rabczuk. Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media. Engineering with Computers 38(6) (2022): 5173-5198. (Highly Cited Paper/Hot paper)JCR 1区,IF: 8.1

11). Hongwei Guo, Xiaoying Zhuang, and Timon Rabczuk. A deep collocation method for the bending analysis of Kirchhoff plate. Computers, Materials & Continua 59(2) (2019): 433-456. (Highly Cited Paper/Hot paper) JCR 1区,IF: 4.89

12). Hongwei Guo, Hong Zheng, and Xiaoying Zhuang. Numerical manifold method for vibration analysis of Kirchhoff's plates of arbitrary geometry. Applied Mathematical Modelling 66 (2019): 695-727.JCR 1区,IF: 5.336

13). Hongwei Guo, Hong Zheng. The linear analysis of thin shell problems using the numerical manifold method. Thin-Walled Structures 124 (2018): 366-383. JCR 1区,IF: 6.6

14). Esteban Samaniego, Cosmin Anitescu, Somdatta Goswami, Vien Minh Nguyen-Thanh, Hongwei Guo, Khader Hamdia, X. Zhuang, and T. Rabczuk. An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications. Computer Methods in Applied Mechanics and Engineering 362 (2020): 112790. (Highly Cited Paper/Hot paper).

15). 郭宏伟和庄晓莹. 采用两步优化器的深度配点法与深度能量法求解薄板弯曲问题. 固体力学学报 42(3) (2021): 249-266.