| Name | QI Huijun | Gender | Male | Date of Birth | May 1988 |
Title | Associate Researcher | Graduate School | Hohai University | |||
Major | Hydraulic Structure Engineering | Degree | Ph.D. | |||
Contact Number | 15850625892 | qihuijun@hhu.edu.cn | ||||
Research Interests | 1. BIM-based 3D optimization design of hydraulic engineering 2. Numerical simulation of hydraulic structure engineering 3. Damage evolution characteristics and limit bearing capacity analysis method of high-concrete dams | |||||
Awards | None | |||||
Main Achievements | QI Huijun is a Ph.D. in hydraulic structure engineering from Hohai University and a postdoctoral fellow in software engineering from the same university. In recent years, he has mainly been engaged in research work on 3D design and optimization of hydraulic engineering, intelligent analysis of hydraulic structure, etc. He has hosted one National Natural Science Foundation of China (NSFC) Youth Project and one Central University Basic Business Fee Project, and participated in several national key research and development projects. He has published 7 academic papers in domestic and foreign academic journals, including 3 as the first author and 3 of which are indexed in SCI. He has also published 1 monograph and has been granted 3 invention patents. Representative Publications (* corresponding author): [1] Qi H, Li T, Liu X, et al. A fast local nonlinear solution technique based on the PFE‐IE method[J]. International Journal for Numerical Methods in Engineering, 2022. [2] Qi H., Li T., Liu X., et al. A variable parameters damage model for concrete[J]. Engineering Fracture Mechanics. 2020,228:106898. [3] Qi H., Li T., Liu X., et al. Study on failure of an ecological tunnel gate caused by jet-flow from air vents[J]. Engineering Failure Analysis. 2017,79:1043-1057. [4] Zheng B, Li T, Qi H, etc. Physics-informed machine learning model for computational fracture of quasi-brittle materials without labelled data [J]. International Journal of Mechanical Sciences, 2022, 223: 107282. [5] Zheng B, Li T, Qi H, etc. 3D meso-scale simulation of chloride ion transportation in cracked concrete considering aggregate morphology [J]. Construction and Building Materials, 2022, 326: 126632. [6] Li T, Liu X, Qi H, etc. A novel dynamic stability analysis method for jointed rock slopes based on block-interface interaction [J]. Computers and Geotechnics, 2021, 134: 104113. [7] Ji, Wei, Xiaoqing Liu, Huijun Qi, Xunnan Liu, Chaoning Lin, Tongchun Li. 《Mechanical Parameter Identification of Hydraulic Engineering with the Improved Deep Q-Network Algorithm》. Mathematical Problems in Engineering 2020 (2020年12月28日): e6404819. https://doi.org/10.1155/2020/6404819. | |||||
研究项目 | 1. Major funds or key projects: (1) National Natural Science Foundation of China (NSFC) Youth Project, Study on the Evolution Mechanism of Dam Concrete Damage Model Parameters and Deep Learning Inversion, 52009035, Jan. 2021 - Dec. 2023. (PI) (2) National Natural Science Foundation of China (NSFC) General Program, Multiscale Interpretation and Tracking Monitoring Method for Service State of RCC Dam in Severe Cold Region, 52079049, 2020. (Participant) 2. Representative engineering application research projects: (1) Guangdong Holdings Limited. commissioned project, research on longitudinal stability and seismic safety of long-distance high-pressure water conveyance tunnel with uneven geological conditions in the Pearl River Delta water resources allocation project, 2022.07-2026.06. (participation) (2) Changjiang institute of survey, Planning, Design and Research Co., Ltd. commissioned project, structural calculation and analysis of the Qingtan Culvert in the North Main Canal of Xiangjiaba Irrigation District Phase I Project in Sichuan Province, 2022.06-2022.12. (participation) (3) Jiangxi Water Resources Research Institute commissioned project, research on the mechanism of dam crest cracking of earth-rock dams based on deep learning, 2022.09-2023.12. (hosting) | |||||
