基本信息:

教师姓名:黎学优????? 职称:副教授

研究方向:??????????? 行政职务:无

岩土工程可靠度分析与风险评估;

岩土工程大数据及多源信息融合;

边坡变形与稳定分析

性别:男????????????? 导师:硕士导师

学科专业:岩土工程??? 办公电话:

通讯地址:

电子邮箱:xliar@connect.ust.hk

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个人简介:

黎学优,亚洲365bet比分副教授,硕士生导师。2012年本科毕业于清华大学水利水电工程系,2016年博士毕业于香港科技大学土木及环境工程系。主要从事岩土工程可靠度分析与风险评估,岩土工程大数据及多源信息融合,边坡变形与稳定分析等方面的科学研究。作为主要研究人员参加了包括国家重点基础研究发展计划(973计划)、香港政府研究资助局基金等多个有关岩土工程多源信息集成和边坡可靠度、滑坡风险分析的课题。目前在本领域国际权威期刊上发表论文20余篇,其中SCI检索12篇(第一作者7篇)。担任多个国际权威期刊审稿人,包括《Journal of Geotechnical and Geoenvironmental Engineering》、《Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards》等。

重要学术研究成果与贡献:

[1] 开发了岩土工程多源监测信息融合技术,推进了大数据分析在岩土工程中的应用

开发了基于贝叶斯网络的多源信息融合技术,提出了基于多源信息集成与力学分析的岩土工程综合评估方法。该技术能高效处理岩土工程中海量、多源监测数据,统筹现场监测与理论分析,识别系统的失效模式,更新系统的安全系数与失效概率,实现采用监测信息实时表征系统不同演化阶段的安全度与稳定性。该研究成果还将推进大数据分析在岩土工程中的应用,解决现代岩土工程传感技术发展的一个瓶颈问题。

[2] 建立了能准确刻画岩土体参数空间变异性的条件随机场模型

该模型基于岩土体参数的空间相关性及钻孔信息,通过结合随机场模型与贝叶斯更新模型,对场地整体的岩土体参数进行有效合理的模拟。与传统方法相比,该模型能高效利用有限的钻孔数据,更加准确地预测场地整体的岩土体参数,还可优化钻孔布置方案,提高地质勘察的经济性。

[3] 提出了可考虑土体参数空间变异性的简化边坡可靠度分析方法

该方法引入了空间不变的等效土体参数,通过由数值计算拟合得到的映射关系考虑土体参数的空间变异性,进而利用等效土体参数进行边坡可靠度分析,从而极大地提高了计算效率,满足实际工程需要,为复杂边坡可靠度问题提供了一种有效的分析手段。

学术论著与教材:

1.??????? Li, X.Y., Zhang, L.M., and Zhang, S. (2018). Efficient Bayesian networks for slope safety evaluation with large quantity monitoring information. Geoscience Frontiers, DOI: 10.1016/j.gsf.2017.09.009. (Published online). (SCI, IF=4.256).

2.??????? Li, X.Y., Zhang, L.M., Zhu, H., and Li, J.H. (2018). Modeling geologic profiles incorporating interlayer and intralayer variabilities. Journal of Geotechnical and Geoenvironmental Engineering, 144(8), 04018047. (SCI, IF=2.464).

3.??????? Li, X.Y., Fan, Z.B., Lu, T., Xiao, T., and Zhang, L.M. (2018). A resilience model for engineered slopes subjected to anchor corrosion. KSCE’s Journal of Civil Engineering, 22(3), 01041. (SCI, IF=0.812).

4.??????? Li, X.Y., Zhang, L.M., Gao, L., and Zhu. H. (2017). Simplified slope reliability analysis considering spatial soil variability. Engineering Geology, 216, 90-97. (SCI, IF=2.569).

5.??????? Li, X.Y., Zhang, L.M., and Jiang, S.H. (2016). Updating performance of high rock slopes by combining incremental time-series monitoring data and three-dimensional numerical analysis. International Journal of Rock Mechanics and Mining Science, 83, 252-261. (SCI, IF=2.268).

6.??????? Li, X.Y., Zhang, L.M., and Li, J.H. (2016). Using conditioned random field to characterize the variability of geology profiles. Journal of Geotechnical and Geoenvironmental Engineering, 142(4), 04015096. (SCI, IF=2.464).

7.??????? Li, X.Y., Zhang, L.M., Jiang, S.H., Li, D.Q., and Zhou, C.B. (2016). Assessment of slope stability in the monitoring parameter space. Journal of Geotechnical and Geoenvironmental Engineering, 142(7), 04016029. (SCI, IF=2.464).

8.??????? Cai, Y.M., Li, J.H., Li, X.Y., Zhang, L.M., Li, D.Q. (2018). Estimating soil resistance at unsampled locations based on limited CPT data. Bulletin of Engineering Geology and the Environment. (Accepted). (SCI, IF=1.901).

9.??????? Zhu, H., Zhang, L.M., Xiao, T., and Li, X.Y. (2017). Enhancement of slope stability by vegetation considering uncertainties in root distribution. Computers and Geotechnics, 85, 84-89. (SCI=2.358).

10.???? Zhu, H., Zhang, L.M., Xiao, T., and Li, X.Y. (2017). Generation of multivariate cross-correlated geotechnical random fields. Computers and Geotechnics, 86, 95-107. (SCI=2.358).

11.???? Xiao, T., Zhang, L.M., Li, X.Y., and Li, D.Q. (2017). Probabilistic stratification modeling in geotechnical site characterization. Journal of Risk and Uncertainty in Engineering System: Part A: Civil Engineering, 3(4), 04017019.

12.???? 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. Engineering Geology, 195, 269-281. (SCI, IF=2.569).

13.???? Peng, M., Li, X.Y., Li, D.Q., Jiang, S.H., and Zhang, L.M. (2014). Slope safety evaluation by integrating multi-source monitoring information. Structural Safety, 49, 65-74. (SCI, IF=2.990).

14.???? 蒋水华, 李典庆, 黎学优, 张利民, 周创兵. (2015). 锦屏一级水电站左岸坝肩边坡施工期高效三维可靠度分析. 岩土力学与工程学报, 34(2), 349-361. (EI)

15.???? Li, X.Y., and Zhang, L.M. (2017). Modelling of multi-layer geologic profile considering inter- and intra-layer variabilities. Computational Modelling of Multi-uncertainty and Multi-scale Problems, Porto, Portugal.

16.???? Li, X.Y., and Zhang, L.M. (2016). Assessment of reliability of slopes in the observed parameter space. ASCE Geotechnical and Structural Engineering Congress 2016, ASCE, Phoenix, Arizona, America.

17.???? Li, X.Y., and Zhang, L.M. (2014). Better prediction of performance of a slope using time-series monitoring data at multiple points in a multi-step excavation. The 3rd Australasian Ground Control in Mining Conference, Sydney, Australia, 183-188.

18.???? Li, X.Y., and Zhang, L.M. (2013). Incorporating model uncertainties and their correlation in the integration of multi-source slope monitoring information. The 26th Symposium on Civil Engineering, Singapore.

19.???? Shen, P., Zhang, L.M., Zhu, H., and Li, X.Y. (2017). Simulating hillslope surface erosion and debris flow considering variability of soil property. The 6th International Symposium on Geotechnical Safety and Risk, Denver, Colorado, America. (EI)

20.???? Li, J.H., Cai, Y.M., Li, X.Y., and Zhang, L.M. (2017). Characterizing the variability of soil using conditioned 3D random field. The 12th International Conference on Structural Safety and Reliability, Vienna, Austria.

21.???? Zhang, L.M., Li, X.Y., Li, D.Q., and Zhou, C.B. (2015). Interactive evaluation of the reliability of engineered slopes utilizing multi-source monitoring information. The 5th International Symposium on Geotechnical Safety and Risk, Keynote Paper, Schweckendiek, T. et al. eds., IOS Press, Amsterdam, The Netherlands, 35-48.

获奖及荣誉:

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学术兼职:

Journal of Geotechnical and Geoenvironmental Engineering 审稿人

Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 审稿人

主持在研基金项目:

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其他:

导师: 硕士生导师

联系邮箱:?xliar@connect.ust.hk

欢迎对可靠度与风险分析、大数据技术与应用、边坡工程等感兴趣的本科毕业生报考中山大学硕士学位。