个人信息

姓名:蒋水华

国籍:中国

性别:

毕业院校:武汉大学

职称:教授

学位:博士

职称类别:正高级

导师类型:博士生导师

岗位类别:副院长

电子邮件:sjiangaa@ncu.edu.cn

所在单位:工程建设学院

办公地址:水利馆B栋207

个人信息

蒋水华,南昌大学工程建设学院副院长,教授,博士生导师,江西省五一劳动奖章获得者。主要从事边坡可靠度分析与滑坡灾害风险防控方面的研究,兼任JRMGE科学编辑、《地质科技通报》、《人民珠江》等期刊编委,国际岩土工程安全协会委员、江西省岩土力学与工程学会副理事长等。主持国家自然科学基金优秀青年基金、面上项目、江西省创新研究群体和杰青项目等纵向科研项目20余项,出版专著3部,授权发明专利/软著28项,发表SCI/EI论文160余篇(含ESI热点论文3篇、高被引论文13篇),入选科睿唯安“全球高被引科学家、“全球前2%顶尖科学家榜单”。先后荣获中国岩石力学与工程学会优秀博士学位论文奖、湖北省优秀博士学位论文奖、2020年度教育部自然科学奖一等奖(R5)、国际期刊《Computers and Geotechnics2020 Sloan最佳论文奖(R1)、2022年度中国大坝工程学会科技进步奖特等奖(R12)、2023年度江西省自然科学奖二等奖(R2)、2024年度江西省自然科学奖一等奖(R1)、2025年国际岩土工程安全协会青年科学家奖等。


教育经历

[1] 201112-201412 武汉大学 博士研究生

[2] 200909-201107 武汉大学水利水电学院 硕士研究生

[3] 200509-200907 长春工程学院 大学本科

[4] 2011.09-2014.12 博士研究生 博士研究生

[5] 2012.06-2014.04 博士联合培养 博士联合培养

[6] 2009.09-2011.06 硕士研究生 硕士研究生

[7] 2005.09-2009.06 本科 本科

工作履历

[1] 201412-* 南昌大学建筑工程学院 南昌大学建筑工程学院

[2] 2022.12-至今 教授 南昌大学-教授

[3] 2017.12-2022.12 副教授 南昌大学-副教授

[4] 2014.12-2017.12 讲师 南昌大学-讲师

[5] 2019.09-2020.01 访问副教授 澳洲纽卡斯尔大学-访问副教授

[6] 2015.09-2017.03 博士后 德国慕尼黑工业大学-博士后

科研成果

一、科研项目:

[1]    国家自然科学基金面上项目,52579103、考虑土体参数时空变异性的暴雨诱发边坡失稳机理及动态风险评估研究、2026/01-2029/12、在研、负责人。

[2]    国家自然科学基金优秀青年科学基金项目,52222905、边坡可靠度分析及灾害风险防控、2023/01-2025/12、结题、负责人。

[3]    国家自然科学基金面上项目,52179103、基于多源信息的降雨入渗下非均质边坡失稳机理及可靠度更新研究、2022/01-2025/12、结题、负责人。

[4]    国家自然科学基金地区基金项目,41867036、基于贝叶斯方法的节理岩质边坡随机裂隙网络修正及可靠性研究、2019/01-2022/12、结题、负责人。

[5]    国家自然科学基金青年科学基金项目,51509125、高边坡锚索体系性能退化模型及时变可靠度研究、2016/01-2018/1220万元、结题、负责人。

[6]    中国科协青年人才托举工程项目、YESS20170272、预应力锚索腐蚀条件下高边坡时变可靠度分析与滑坡风险控制、2018/01-2020/12、结题、负责人。

[7]    江西省“双千计划”首批培养类项目科技创新高端人才(青年)项目、JXSQ2019201084、随机降雨作用下空间变异斜坡失稳机理及时变可靠度研究、2020/01-2023/12、在研、负责人。

[8]    江西省重点研发计划项目,20252BCG330025,复杂条件下滑坡灾害风险智能评估与防控关键技术研究及应用示范2025/07-2028/06、在研、负责人。

[9]    江西省自然科学基金创新研究群体项目,20242BAB24001降雨作用下生态护坡入渗规律及稳定可靠度研究2024/06-2027/05、在研、负责人。

[10] 江西省自然科学基金重点项目,20224ACB204019,降雨诱发非均质堆积体滑坡大变形破坏机理及早期识别方法研究、2023/01-2025/12、在研、负责人。

[11] 江西省自然科学基金杰出青年基金项目,2018ACB21017、鄱阳湖区重点堤防工程系统变形破坏机理及溃决风险评估研究、2018/01-2020/12、结题、负责人。

[12] 江西省自然科学基金面上项目,20212BAB204054、滑坡灾害对生态环境的影响机理及风险定量评估方法研究、2021/01-2022/12、结题、负责人。

[13] 江西省自然科学基金面上项目,20171BAB206058、复杂条件下库岸边坡参数概率反演及可靠度更新研究、2017/01-2018/12、结题、负责人。

[14] 江西省自然科学基金青年基金项目,20161BAB216117,基于随机有限元法的泥水盾构隧道开挖面稳定可靠度研究、2016/01-2017/12、结题、负责人。

[15]  

二、专著及教材:

[1]    蒋水华, 吴海真. (2023). 堤防工程系统风险评估与管理[M]. 北京: 中国水利水电出版社. ISBN: 978-7-5226-1627-8, 28万字. (专著)

[2]    蒋水华, 李典庆. (2019). 边坡可靠度更新的贝叶斯方法[M]. 北京: 科学出版社. ISBN: 978-7-03-062362-1, 22.7万字. (专著)

[3]    李典庆, 蒋水华. (2016). 边坡可靠度非侵入式随机分析方法[M]. 北京: 科学出版社. ISBN: 978-7-03-047511-4, 32万字. (专著)

[4]    蒋水华, 王怀章. (2019). Visual Basic 6.0 水利工程应用[M]. 北京: 中国水利水电出版社. ISBN: 978-7-5170-3576-3, 27.1万字 (普通高等教育“十三五”规划教材)

[5]    Huang, J., Griffiths, D. V., Jiang, S. H., Giacomini, A., Kelly, R. (2022). Geotechnical risk: big-data, machine learning and climate change[M]. Proceedings of 8th International Symposium on Geotechnical Safety and Risk (ISGSR), ISBN: 978-981-18-5182-7. (英文编著)

 

三、代表性论文:

[1]    Li, J. P., Jiang, S. H.*, Wan, J. H.*, Liu, L. L., Ma, G., Rezania, M., Nezhad, M. M., and Gao, L. (2025). Hazard zoning of individual landslide-debris avalanches considering complex 3D spatial variability by random material point method[J]. Canadian Geotechnical Journal, 62: 1-23. (SCI)

[2]    Yuan, Z. R., Jiang, S. H.*, Wan, J. H.*, Huang, J., and Liu, L. L. (2026). A rainfall infiltration-redistribution model for heterogeneous slopes considering multi-parameter uncertainties[J]. Journal of Rock Mechanics and Geotechnical Engineering, 18(2). (SCI)

[3]    Meng, J., Li, J. P.*, Jiang, S. H.*, Huang, J., and Wang, Y. (2026). Random particle finite element method for probabilistic slope larege deformation analysis accounting for spatial variability[J]. Journal of Rock Mechanics and Geotechnical Engineering, 18(12). (SCI)

[4]    Jiang, S. H., Jie, H. H., Lan, P.*, and Huang, J. (2026). Efficient Bayesian inversion of hydraulic parameters for unsaturated soil slopes using a fine-tuned deep operator network[J]. Computer Methods in Applied Mechanics and Engineering, 449: 118490. (SCI)

[5]    Wan, J. H., Wu, Z., Jiang, S. H.*, and Li, X. Y. (2025). Reliability-based design of laterally loaded tapered offshore piles in spatially variable clay[J]. Computers and Geotechnics, 188: 107567. (SCI)

[6]    Jiang, S. H., Hu, H. P., Wang, Z. Z.*, and Huang, J. (2025). Interactive effects of prior distributions and likelihood function on Bayesian model updating of slope reliability[J]. International Journal of Geomechanics,  2025, 25(11): 04025247. (SCI)

[7]    Jiang, S. H., Yuan, Z. R., Wang, Z. Z.*, and Liu, X. (2025). Improved rainfall infiltration model for probabilistic slope stability assessment considering transition layers and spatial variability[J]. Engineering Geology, 353: 108096. (SCI)

[8]    Xiong, W., Jiang, S. H.*, Wan, J. H., Zhou, C. B., and Gao, L. (2025). Probabilistic investigation of the whole process of backward erosion piping for a two-layered levee in spatially variable soils[J]. Computers and Geotechnics, 184: 107244. (SCI)

[9]    Liu, X., Jiang, S. H.*, Xie, J., and Li, X. (2025). Bayesian inverse analysis with field observation for slope failure mechanism and reliability assessment under rainfall accounting for non-stationary characteristics of soil properties[J]. Soils and Foundations, 65(1): 101568. (SCI, ESI高被引论文)

[10] Li, J. P., Jiang, S. H.*, Ma, G., Rezania, M., Nezhad, M. M., and Wan, J. H.* (2025). Probabilistic evaluation of landslide influence zones considering stratigraphic dips and nonstationarity of soil properties[J]. Computers and Geotechnics, 177: 106815. (SCI)

[11] Jiang, S. H., Hu, H. P., and Wang, Z. Z.* (2025). Improved Bayesian model updating of geomaterial parameters for slope reliability assessment considering spatial variability[J]. Structural Safety, 112: 102536. (SCI)

[12] Jiang, S. H., Li, J. P., Ma, G.*, Rezania, M., and Huang, J. (2025). Stochastic hazard assessment framework of landslide blocking river by depth-integrated continuum method and random field theory[J]. Landslides, 22: 393-411. (SCI)

[13] Jiang, S. H., Li, J. P., Ma, G.*, and Rezania, M. (2024). Probabilistic assessment of 3D slope failures in spatially variable soils by cooperative stochastic material point method[J]. Computers and Geotechnics, 172: 106413. (SCI)

[14] Jiang, S. H.*, Jie, H. H., Xie, J. W., Huang, J., and Zhou, C. B. (2024). Probabilistic back-analysis of rainfall-induced landslides for slope reliability prediction with multi-source information[J]. Journal of Rock Mechanics and Geotechnical Engineering, 16(9): 3575-3594. (SCI)

[15] Pan, M., Jiang, S. H.*, Liu, X., Song, G. Q., and Huang, J. (2024). Sequential probabilistic back analyses of spatially varying soil parameters and slope reliability prediction under rainfall[J]. Engineering Geology, 328: 107372. (SCI)

[16] Jiang, S. H., Liu, X.*, Ma, G.*, and Rezania, M. (2024). Stability analysis of heterogeneous infinite slopes under rainfall-infiltration by means of an improved Green-Ampt model[J]. Canadian Geotechnical Journal, 61(8): 1560-1573. (SCI)

[17] Jiang, S. H., Chen, J. D., Wang, Z. Z.*, Zheng, J., Huang, J., and Lü, Q. (2024). Three-dimensional discrete element analysis of jointed rock slope stability based on the universal elliptical disc model[J]. Rock Mechanics and Rock Engineering, 57: 505-525. (SCI)

[18] Jiang, S. H., Zhu, G. Y., Wang, Z. Z.*, Huang, Z. T., and Huang, J. (2023). Data augmentation for CNN-based probabilistic slope stability analysis in spatially variable soils[J]. Computers and Geotechnics, 160: 105501. (SCI)

[19] Jiang, S. H., Liu, X.*, Wang, Z. Z., Li, D. Q., and Huang, J. (2023). Efficient sampling of the irregular probability distributions of geotechnical parameters for reliability analysis[J]. Structural Safety, 101: 102309. (SCI)

[20] Jiang, S. H., Zhi, H. L., Wang, Z. Z.*, and Zhang, S. (2023). Enhancing flood risk assessment and mitigation through numerical modelling: a case study[J]. Natural Hazards Review, 24(1): 04022046. (SCI)

[21] Jiang, S. H., Huang, J.*, Griffiths, D. V., and Deng, Z. P. (2022). Advances in reliability and risk analyses of slopes in spatially variable soils: A state-of-the-art review[J]. Computers and Geotechnics, 141: 104498. (SCI)

[22] Jiang, S. H., Liu, X., Huang, J., and Zhou, C. B.* (2022). Efficient reliability-based design of slope angles in spatially variable soils with field data[J]. International Journal for Numerical and Analytical Methods in Geomechanics, 46(13): 2461-2490. (SCI)

[23] Jiang, S. H.*, Liu, X., and Huang, J. (2022). Non-intrusive reliability analysis of unsaturated embankment slopes accounting for spatial variabilities of soil hydraulic and shear strength parameters[J]. Engineering with Computers, 38(1): 1-14. (SCI)

[24] Jiang, S. H.*, Wang, L., Ouyang, S., Huang, J., and Liu, Y. (2022). A comparative study of Bayesian inverse analyses of spatially varying soil parameters for slope reliability updating[J]. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 16(4): 746-765. (SCI)

[25] Huang, F., Ye, Z., Jiang, S. H.*, Huang, J., Chang, Z., and Chen, J. (2021). Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models[J]. Catena, 202: 105250. (SCIESI高被引和热点论文)

[26] Jiang, S. H.*, Huang, J., Qi, X. H., and Zhou, C. B. (2020). Efficient probabilistic back analysis of spatially varying soil parameters for slope reliability assessment[J]. Engineering Geology, 271: 105597. (SCI)

[27] Jiang, S. H.*, Papaioannou, I., and Straub, D. (2020). Optimization of site-exploration programs for slope-reliability assessment[J]. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 6(1): 04020004. (SCI)

[28] Huang, F., Cao, Z., Guo, J., Jiang, S. H.*, Li, S., and Guo, Z. (2020). Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping[J]. Catena, 191: 104580. (SCIESI高被引和热点论文)

[29] Jiang, S. H.*, Papaioannou, I., and Straub, D. (2018). Bayesian updating of slope reliability in spatially variable soils with in-situ measurements[J]. Engineering Geology, 239: 310-320. (SCI)

[30] Jiang, S. H., Huang, J., Huang, F.*, Yang, J., Yao, C., and Zhou, C. B. (2018). Modelling of spatial variability of soil undrained shear strength by conditional random fields for slope reliability analysis[J]. Applied Mathematical Modelling, 63: 374-389. (SCI)

[31] Jiang, S. H.*, and Huang, J. (2018). Modeling of non-stationary random field of undrained shear strength of soil for slope reliability analysis[J]. Soils and Foundations, 58(1): 185-198. (SCI)

[32] Jiang, S. H., Huang, J.*, Yao, C., and Yang, J. H. (2017). Quantitative risk assessment of slope failure in 2-D spatially variable soils by limit equilibrium method[J]. Applied Mathematical Modelling, 47: 710-725. (SCI)

[33] Jiang, S. H., Huang, J.*, and Zhou, C. B. (2017). Efficient system reliability analysis of rock slopes based on Subset simulation[J]. Computers and Geotechnics, 82: 31-42. (SCI)

[34] Huang, F. M., Huang, J.*, Jiang, S. H., and Zhou, C.B. (2017). Landslide displacement prediction based on multivariate chaotic model and Extreme Learning Machine[J]. Engineering Geology, 218, 173-186. (SCIESI高被引论文)

[35] Jiang, S. H.*, and Huang, J. (2016). Efficient slope reliability analysis at low-probability levels in spatially variable soils[J]. Computers and Geotechnics, 75: 18-27. (SCI)

[36] Jiang, S. H., Li, D. Q.*, Cao, Z. J., Zhou, C. B., and Phoon, K. K. (2015). Efficient system reliability analysis of slope stability in spatially variable soils using Monte Carlo simulation[J]. ASCE Journal of Geotechnical and Geoenvironmental Engineering, 141(2): 04014096. (SCIESI高被引论文)

[37] Li, D. Q.*, Jiang, S. H., Cao, Z. J., Zhou, W., Zhou, C. B., and Zhang, L. M. (2015). A multiple response-surface method for slope reliability analysis considering spatial variability of soil properties[J]. Engineering Geology, 187: 60-72. (SCIESI高被引和热点论文)

[38] Li, D. Q.*, Jiang, S. H., Cao, Z. J., Zhou, C. B., Li, X. Y., and Zhang, L. M. (2015). Efficient 3-D reliability analysis of the 530 m high abutment slope at Jinping I Hydropower Station during construction[J]. Engineering Geology, 195: 269-281. (SCI)

[39] Jiang, S. H., Li, D. Q.*, Zhang, L. M., and Zhou, C. B. (2014). Slope reliability analysis considering spatially variable shear strength parameters using a non-intrusive stochastic finite element method[J]. Engineering Geology, 168: 120-128. (SCIESI高被引论文)

[40] Jiang, S. H., Li, D. Q.*, Zhang, L. M., and Zhou, C. B. (2014). Time-dependent system reliability of anchored rock slopes considering rock bolt corrosion effect[J]. Engineering Geology, 175: 1-8. (SCI)

[41] Jiang, S. H., Li, D. Q.*, Zhou, C. B., and Zhang, L. M. (2014). Capabilities of stochastic response surface method and response surface method in reliability analysis[J]. Structural Engineering and Mechanics, 49(1): 111-128. (SCI)

[42] Li, D. Q.*, Jiang, S. H., Chen, Y. F., and Zhou, C. B. (2014). Reliability analysis of serviceability performance for an underground cavern using a non-intrusive stochastic method[J]. Environmental Earth Sciences, 71(3): 1169-1182. (SCI)

[43] Li, D. Q.*, Jiang, S. H., Cheng, Y. G., and Zhou, C. B. (2013). A comparative study of three collocation point methods for odd order stochastic response surface method[J]. Structural Engineering and Mechanics, 45(5): 595-611. (SCI)

[44] Li, D. Q.*, Jiang, S. H., Wu, S. B., Zhou, C. B., and Zhang, L. M. (2013). Modeling multivariate distributions using Monte Carlo simulation for structural reliability analysis with complex performance function[J]. Journal of Risk and Reliability, 227(2): 109-118. (SCI)

[45] Li, D. Q.*, Jiang, S. H., Chen, Y. F., and Zhou, C. B. (2011). System reliability analysis of rock slope stability involving correlated failure modes[J]. KSCE Journal of Civil Engineering, 15(8): 1349-1359. (SCI)

 

四、授权专利:

[1]    蒋水华, 陈李蓉, 黄劲松, 周创兵. (2024). 一种基于多技术协同的堤防隐患无损探测方法. 已公开(2022-03-25, 专利号: ZL202111355918.4, 受理日期: 2021-11-16, 授权公告号: CN114236621B, 授权公告日: 2024-10-15. (国家发明专利)

[2]    蒋水华, 支欢乐, 陈李蓉, 黄劲松, 周创兵. (2023). 一种堤身材料渗透系数随机序贯反演方法. 已公开(2021-10-29, 专利号: ZL202110741265.7, 受理日期: 2021-06-30, 授权公告号: CN113569444B, 授权公告日: 2023-09-19. (授权国家发明专利)

[3]    蒋水华, 曾绍慧, 姜清辉, 周创兵. (2022). 一种土坡钻孔布置方案设计方法. 已公开(2018-12-21, 专利号: ZL201810789277.5, 受理日期: 2018-07-18, 授权公告号: CN109063285B, 授权公告日: 2022-12-02. (授权国家发明专利)

[4]    蒋水华, 彭浩, 黄劲松, 周创兵. (2022). 一种尾矿库坝身渗透破坏引起的溃坝过程模拟方法. 已授权, 专利号: ZL202010729505.7, 受理日期: 2020-07-27, 授权公告号: CN111931275B, 授权公告日: 2022-03-29. (授权国家发明专利) 国家知识产权局

[5]    蒋水华, 黄中发, 黄劲松, 周创兵. (2022). 一种堤防的防洪爆破扒口结构及其设置方法. 已授权, 专利号: ZL201910965661.0, 受理日期: 2019-10-12, 授权公告号: CN110823027B, 授权公告日: 2022-03-22. (授权国家发明专利)

[6]    欧阳澍, 张小波, 姚池, 杨建华, 蒋水华, 周创兵. (2024). 可调节充填厚度的岩石结构面压力注浆设备. 已公开(2022-07-29, 专利号:ZL202210492174.9, 受理日期: 2022-05-07. 授权公告号: CN114808989B, 授权公告日: 2024-06-21. (授权国家发明专利)

[7]    秦根泉, 蒋水华, 曾绍慧, 朱攀攀, 黄河. (2022). 一种制定碾压混凝土坝钻孔取芯与压水试验方案的方. 已公开, 专利号: ZL201811450935.4, 受理日期: 2018-11-30. 授权公告号: CN110057618B, 授权公告日: 2022-05-17. (授权国家发明专利)

[8]    蔡木良, 杨晓斌, 彭浩, 蒋水华, 余霜鸿, 范瑞祥, 晏年平, 安义, 陈琛. (2022). 一种洪涝灾害下的电网设备风险预警方法及系统. 已公开(2021-12-31, 专利号: ZL202111455271.2, 受理日期: 2021-12-02. 授权公告号: CN113869804B, 授权公告日: 2022-06-14. (授权国家发明专利)

[9]    夏志斌, 蒋水华, 郑劲松, 陈颖霞, 熊青, 李成元. (2024). 一种用于防止尾矿库坝身渗透破坏的防渗结构. 已公开(2025-04-25, 专利号: ZL202421542173.1, 受理日期: 2024-07-02. 授权公告号: CN222796313U, 授权公告日: 2025-04-25. (授权实用新型专利)

[10] 蒋水华, 彭博, 杨光照, 康文景, 黄发明, 范静哲. (2020). 一种大型危岩崩落实时监测预警系统. 专利号: ZL201822249278.9, 专利申请日: 2018-12-29. 授权公告号: CN210091345U, 授权公告日: 2020-02-18. (授权实用新型专利)