个人简介
Homepage: www.cuihongzhi.cn
Email: hongzhi.cui@163.com
崔红志,博士,安徽芜湖人,现任绍兴大学土木工程学院讲师,硕士生导师。主要研究方向为滑坡灾害风险分析、边坡工程及岩土工程可靠度分析。2024年先后毕业于河海大学岩土工程专业(国家重点学科)和西班牙加泰罗尼亚理工大学(Universitat Politècnica de Catalunya, Barcelona, Spain, UPC)(土木工程西班牙第1,欧洲第8),获岩土工程双博士学位。师从姬建教授,外方导师为UPC工程地质学科首席科学家Marcel Hürlimann。先后主持或参与国家自然科学基金区域联合基金重点项目、面上项目及青年基金等科研项目10项。在JRMGE, Comp. Geot, Landslides, Eng. Geol.等国际主流期刊及《岩石力学与工程学报》等国内权威期刊发表论文19篇,授权国家发明专利7项。
个人学术主页详见:
- Personal Homepage:
- Google Scholar:
https://scholar.google.com/citations?user=VzI2qRMAAAAJ&hl=en
- ResearchGate:
http://researchgate.net/profile/Hong-Zhi-Cui-3?ev=hdr_xprf
- ORICID:
https://orcid.org/my-orcid?orcid=0000-0002-5036-6313
- Linkin:
研究方向
(1)边坡工程与滑坡预测预警
(2)物理数据双驱动的岩土力学数值计算
(3)岩土工程可靠度理论与风险分析
(4)岩石力学与地质灾害
(1)Slope Engineering and Landslide Prediction and Early Warning
(2)Numerical Computation in Geomechanics Driven by Physics and Data
(3)Reliability Theory and Risk Analysis in Geotechnical Engineering
(4)Rock Mechanics and Geological Hazards
论文期刊 Journals(期刊论文)
(SCI论文20篇,一作/导师一作本人二作/通讯14篇,中国卓越领军期刊4篇)
Cui Hongzhi, Pei Te, Devineni, Naresh, Tian Yingli, Shen Chaopeng, Ji Jian. A multi-objective physics-informed machine learning framework for landslide susceptibility mapping[J]. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 2026, 1-25. https://doi.org/10.1080/17499518.2026.2653043 (SCI, 中科院二区)
崔红志, 裴特, 姬建. 基于概率物理信息的机器学习区域滑坡易发性评估 [J]. 岩石力学与工程学报, 2026,1-18. (中国卓越期刊领军期刊)
Cui Hongzhi, Tong Bin, Wang Tao, Dou Jie, Ji Jian*. A hybrid data-driven approach combining physically-based probabilistic model with CNN for rainfall-induced landslide susceptibility mapping[J]. Journal of Rock Mechanics and Geotechnical Engineering, 2025. https://doi.org/10.1016/j.jrmge.2024.08.005. (SCI, 中科院一区, TOP, ESI高被引论文).
Cui Hongzhi, Medina Vicente, Hürlimann Marcel, Ji Jian*. Fast physically-based probabilistic modelling of rainfall-induced shallow landslide susceptibility at the regional scale considering geotechnical uncertainties and different hydrological conditions[J]. Computers and Geotechnics, 2024. 172:106400. https://doi.org/10.1016/j.compgeo.2024.106400 (SCI, 中科院一区, TOP, 岩土数值与计算领域顶刊)
Cui Hongzhi, Ji Jian*, Hürlimann Marcel, Medina Vicente. Probabilistic and physically-based modelling of rainfall-induced landslide susceptibility using integrated GIS-FORM algorithm [J]. Landslides, 2024. https://doi.org/10.1007/s10346-024-02226-8 (SCI, 中科院二区, 国际滑坡协会会刊,滑坡领域NO.1).
Cui Hongzhi, Ji Jian*, Song Jian, Huang Wengui. Limit state line-based seismic stability charts for homogeneous earth slopes[J]. Computers and Geotechnics, 2022, 146: 104749. https://doi.org/10.1016/j.compgeo.2024.106400 (SCI, 中科院二区, 岩土数值与计算领域顶刊).
Ji Jian, Cui Hongzhi, Zhang Tong, Song Jian, Gao Yufeng. A GIS-based tool for probabilistic physical modelling and prediction of landslides: GIS-FORM landslide susceptibility analysis in seismic areas[J]. Landslides, 2022, 19(9): 2213-2231. https://doi.org/10.1007/s10346-022-01885-9 (SCI, 中科院二区, 国际滑坡协会会刊,滑坡领域NO.1)
Ji, Jian, Deng, J., Cui Hongzhi*, Tong, B., Tang, X. and Pei, T. Comparison of different machine learning models coupling with logistic regression for landslide susceptibility mapping[J]. Gondwana Research, 2026 . https://doi.org/10.1016/j.gr.2025.12.014(SCI, 中科院一区, TOP )
姬建*, 崔红志, 佟斌, 吕庆,高玉峰. 基于物理过程不确定性的降雨诱发浅层滑坡易发性快速区划:GIS-FORM技术开发与应用[J]. 岩石力学与工程学报, 2024: 1-13. (中国卓越期刊领军期刊)
佟斌, 崔红志, 姬建*. 基于一阶可靠度方法的区域滑坡易发性概率评估与QGIS平台实现[J]. 岩石力学与工程学报, 2025, 44(9): 2456-2469. (中国卓越期刊领军期刊)
SunYidan ,..., Cui Hongzhi*.A machine learning-assisted method for evaluating the strength of silty clay solidified with industrial waste under freeze-thaw cycles [J] Construction and Building Materials, 2025, 493. 143070. https://doi.org/10.1016/j.conbuildmat.2025.143070 (SCI, 中科院一区Top,唯一通讯)
Yidan Sun, ... , Cui Hongzhi*. Predicted uniaxial compressive strength of fractured weakly cemented rock by LSSVM-NCV-ABKDE-based data-driven method[J] Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2025, https://doi.org/10.1007/s40948-025-00967-x (SCI, 中科院二区,唯一通讯)
Jin Jiaxu, Zhang Zongcheng, Cui Hongzhi*, Wang Haibo. Identifying signals of failure freeze-thaw instability fissured sandstone based on CPO-RF and acoustic emission [J] International Journal of Geomechanics, 2025 (唯一通讯)
Deng, J.H., …, Cui Hongzhi*. and Ji, Jian. Optimizing Landslide Susceptibility Mapping with Non-Landslide Sampling Strategy and Spatio-Temporal Fusion Models [J] Water, 2025, 17(12), p.1778. https://doi.org/10.3390/w17121778 (SCI,通讯)
Jin Jiaxu, Cui Hongzhi*, Liang Li, et al. Variation of pore water pressure in tailing sand under dynamic loading[J]. Shock and Vibration, 2018, 2018: 1-13. https://doi.org/10.1155/2018/1921057 (唯一通讯)
Tong Bin, Ji Jian, Wang Tao, Cui Hongzhi. A novel perspective on fast landslide susceptibility mapping at regional scale: Probabilistic modelling and reliability updating [J]. Landslides, 2026, 10.1007/s10346-026-02705-0 (SCI, 中科院二区, 国际滑坡协会会刊,滑坡领域NO.1)
Ji Jian, Tong Bin, Cui Hongzhi, Xintao Tang, Hürlimann Marcel, Shigui Du (2024) A QGIS framework for physically-based probabilistic modelling of landslide susceptibility: QGIS-FORM. Environmental Modelling & Software 2025,183:106258. https://doi.org/10.1016/j.envsoft.2024.106258. (SCI, Q1)
Ji Jian, Zhang Tong, Cui Hongzhi, et al. Numerical investigation of post-earthquake rainfall-induced slope instability considering strain-softening effect of soils[J]. Soil Dynamics and Earthquake Engineering, 2023, 171: 107938. https://doi.org/10.1016/j.soildyn.2023.107938 (SCI, Q1)
Ji Jian *, Wang Chenwei, Cui Hongzhi, et al. A simplified nonlinear coupled Newmark displacement model with degrading yield acceleration for seismic slope stability analysis[J]. International Journal for Numerical and Analytical Methods in Geomechanics, 2021, 45(10): 1303-1322. https://doi.org/10.1002/nag.3202 (SCI, Q1)
Zhang Tong, Ji Jian, Liao W, Cui Hongzhi, et al. Seismically progressive motion mechanism of earth slopes considering shear band porewater pressure feedback under earthquake excitations[J]. Computers and Geotechnics, 2024, 165: 105909. https://doi.org/10.1016/j.compgeo.2023.105909
Jin Jiaxu, Li Yahao, Cui Hongzhi*, et al. Experimental study on the liquefaction characteristics of tailing sand under earthquake action and establishment of flow model[J]. Arabian Journal of Geosciences, 2020, 13(14): 1-18. (SCI, Q3,通讯)
Jin Jiaxu, Ding Qianshen, Cui Hongzhi*, et al. Dynamic response characteristics of a tailing dam determined by shaking-table tests[J]. Arabian Journal of Geosciences, 2020, 13(18): 1-12. https://doi.org/10.1007/s12517-020-05533-1 (SCI, Q3, 通讯)
Jin Jiaxu, Yuan Shihao, Cui Hongzhi*, Xiao X, Jia B. A Threshold Model of Tailings Sand Liquefaction Based on PSO-SVM[J]. Sustainability, 2022, 14(5): 2720. https://doi.org/10.3390/su14052720 (SCI, Q2,通讯)
Zhang, S., Rui, Y., Zhou, Z., Cai, X. and Cui Hongzhi, 2025. The Influence of Vickers Hardness and Brittleness on Particle Size Distribution During Ball Milling: A Multifractal Approach. Rock Mechanics and Rock Engineering, pp.1-20. https://doi.org/10.1007/s00603-025-04464-1 (SCI, 中科院一区TOP)
金佳旭,崔红志*,梁冰, 等.地震作用下尾矿库溃坝过程模型试验及加固方案[J].中国安全科学学报,2017, 27(02): 92-97. (T1, 行业特色期刊,本人二作兼通讯)
金佳旭,崔红志*, 等. 聚丙烯纤维加筋尾矿砂力学特性试验研究[J].非金属矿,2017,40(05):29-31. (CSCD, 通讯).
姬建,姜振,殷鑫,王涛,崔红志,等.边坡随机场数字图像特征CNN深度学习及可靠度分析[J].岩土工程学报, 2022,44(08):1463-1473.
CONFERENCES(会议论文)
Cui Hongzhi, Pei Te., Jin Jia Xu. and Ji, Jian., A Physics and Reliability-Informed Machine Learning Framework for Landslide Susceptibility Assessment: A Case Study in Niang-niang-pa, Gansu, China. In Geo-Extreme 2025 (pp. 86-96).
Cui Hongzhi*, Hürlimann M, Medina V, et al. GIS-FSLAM-FORM: A QGIS plugin for fast probabilistic susceptibility assessment of rainfall-induced landslides at regional scale: EGU23-295[C]. Copernicus Meetings, 2023.
Cui Hongzhi, Ji Jian. Seismic Stability Analysis of Earth Slopes Using Graphical Chart Solution[C]//Wang L, Zhang J M, Wang R. Proceedings of the 4th International Conference on Performance Based Design in Earthquake Geotechnical Engineering (Beijing 2022). Cham: Springer International Publishing, 2022: 1297-1307.
Ji Jian, Cui Hongzhi. A GIS-Based Tool for Probabilistic Physical Modelling and Prediction of Landslides: Improved GIS-TRIGRS-FORM Landslide Prediction[C]//Geo-Risk 2023. Arlington, Virginia: American Society of Civil Engineers, 2023: 320-330. (EI)
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