个人信息

姓名:胡雅婷

国籍:中国

性别:

毕业院校:河海大学

职称:讲师

学位:博士

电子邮件:yating.hu@ncu.edu.cn

所在单位:工程建设学院

办公地址:建工楼b608

个人信息

胡雅婷,女,江西南昌人,出生于 1994 年 10 月。2016 年毕业于河海大学 水利水电学院,获水利水电工程专业学士学位,2023 年获河海大学水工结构工程专业博士学位。主要研究方向为水工程结构安全监控与健康诊断、库坝群工程系统风险管控等。项目申请者主持的项目有:国家自然科学基金地区项目“高龄混凝 土重力坝运行状态安全预警及实时风险测度方法”,江西省自然科学基金青年项目“流域坝群系统链传导失效风险辨识评估研究”,面上项目“高龄混凝土重力坝运行效力监控及风险预判方法”,江西省水利厅科技项目“数据 与模型双驱动的流域坝群链传导风险度量方法”、“基于鄱阳湖流域水利数据底板的库坝群风险态势研究”等。在国内外权威学术期刊发表论文 20 余篇,其中 第一作者或通讯作者在《Expert Systems with Applications》、《IEEE Access》等 国内外权威期刊发表论文 5 篇,为项目提供了较好的学术成果累积。

教育经历

[1] 201811-201911 瑞士洛桑联邦理工学院 无

[2] 201609-202306 河海大学 博士研究生

[3] 201209-201606 河海大学 大学本科

工作履历

科研项目

基于鄱阳湖流域水利数据底板的库坝群风险态势研究

数据与模型双驱动的流域坝群链传导风险度量方法

科研成果

[1]   Hu Yating, Shao Chenfei, Gu Chongshi*, Meng Zhenzhu. Concrete Dam Displacement Prediction Based on an ISODATA-GMM Clustering and Random Coefficient Model. Water, 2019, 11(4): 1-19.

[2]   Hu Yating, Gu Chongshi*, Meng Zhenzhu, Shao Chenfei. Improve the Model Stability of Dam's Displacement Prediction Using a Numerical-Statistical Combined Model. IEEE Access, 2020, 8: 147482-147493. 

[3]   Hu Yating, Gu Chongshi*, Meng Zhenzhu, Shao Chenfei. Prediction for the Settlement of Concrete Face Rockfill Dams Using Optimized LSTM Model via Correlated Monitoring Data. Water, 2022, 14(14):1-19. 

[4]   Shao Chenfei*, Zheng Sen, Gu Chongshi, Hu Yating*, Qin Xiangnan. A novel Outlier Detection Method for Monitoring Data in Dam Engineering. Expert Systems with Applications, 2022, 193: 1-16.

[5]   Wei Bowen, Li Zhenyu, Hu Yating*, Yuan Dongyang*, Zhan Lianghong. A time-varying non-probabilistic reliability analysis method using surrogate model for the reinforcement effectiveness of damaged concrete gravity dam. Structures, 2024, 69:1-12.

[6]   Shao Chenfei, Gu Chongshi*, Gu Chongshi, Hu Yating. A Data-Driven Approach Based on Multivariate Copulas for Quantitative Risk Assessment of Concrete Dam. Journal of Marine Science and Engineering, 2019, 7(10): 1-20.

[7]   Shao Chenfei, Gu Chongshi*, Gu Chongshi, Hu Yating. Integrating the Finite Element Method with a Data-Driven Approach for Dam Displacement Prediction. Advances in Civil Engineering, 2020, 2020: 1-16.

[8]   Meng Zhenzhu*, Hu Yating, Ancey Christophe. Using a Data Driven Approach to Predict Waves Generated by Gravity Driven Mass Flows. Water, 2020, 12(2): 1-18.

[9]   Gu Chongshi*, Wang, Yanbo, Gu, Hao*, Hu Yating, Yang Meng, Cao Wenhan, Fang Zheng. A Combined Safety Monitoring Model for High Concrete Dams. Applied Sciences-Basel, 2022, 12(23):1-16.

[10] Meng Zhenzhu*, Zhang Jinxin, Hu Yating, Ancey Christophe. Temporal prediction of landslide-generated waves using a theoretical-statistical combined method. Journal of Marine Science and Engineering, 2023, 11(6): 1-17.

[11] Zheng Sen, Gu Chongshi*, Shao Chenfei*, Hu Yating, Xu Yanxin, Huang Xiaoyu. A Novel Prediction Model for Seawall Deformation Based on CPSO-WNN-LSTM. Mathematics, 2023, 11(17): 1-22.

[12] Shao Chenfei, Zheng Sen*, Xu Yanxin, Gu Hao , Qin Xiangnan, Hu Yating. A visualization system for dam safety monitoring with application of digital twin platform. Expert Systems with Applications, 2025(271):1-18.