QI Huijun

Publisher:陈良蕾Time:2022-12-03Views:76


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

Email

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 PFEIE   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 (20201228):   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)

 


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