张瑞阳


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个人简介

张瑞阳,东南大学青年首席教授,博士生导师,入选国家高层次青年人才项目。本科毕业于山东大学,硕、博毕业于美国马里兰大学,随后在美国匹兹堡大学和美国东北大学从事博士后研究。主要从事融合人工智能与结构防灾减灾的前沿交叉研究,包括基础设施智慧监测运维、可解释性深度学习、物理驱动人工智能理论与方法等。主持国家高层次人才计划1项、国家自然科学青年基金1项,主持和参与其他各类科研项目10余项。在结构工程领域国际权威期刊上发表SCI论文20余篇,参编英文专著一部,累计引用861次(谷歌学术),第一作者单篇最高引用231余次,发表“ESI高被引论文”2篇,3篇论文当选SCI期刊高被引论文和高下载论文,长期担任Engineering StructuresEngineering Applications of Artificial Intelligence等十余个国际著名期刊审稿人。先后入选江苏省“双创博士”、南京留学人员科技创新项目、江苏青年科技创新“U35攀峰”青年等。

教育背景

2014-2017,美国马里兰大学,土木工程专业,博士(Ph.D.

2012-2014,美国马里兰大学,土木工程专业,硕士(M.S.

2008-2012,山东大学,土木工程专业,工学学士

工作经历

2023-至今,东南大学土木工程学院,教授

2021-2022,东南大学土木工程学院,副教授

2018-2020,美国东北大学,博士后研究员

2017-2018,美国匹兹堡大学,博士后研究员


学术兼职
教学课程

本科生主干课《人工智能》B0580050

本科生选修课《深度学习与应用》B58A1040

研究生必修课《结构韧性与智能防灾》DB005134


科研、教改项目

国家高层次青年人才项目,主持

中央高校基本科研业务费,主持

国家自然科学基金青年基金,装配式混凝土结构高效精细分析模型及抗震易损性研究,项目负责人

中央高校基本科研业务费(省部级重点实验室科学研究-理工类),项目负责人

中小跨径桥梁结构病害监测和长寿命维护,山西省交通工程质量检测中心,项目负责人

美国国家科学基金项目, Physics-Reinforced Deep Learning for Structural Metamodeling, 项目骨干

美国国家科学基金项目, Cyber-Physical Systems Approach to the Optimal Design of Structures for Wind Hazards, 项目骨干

美国国家科学基金项目, US-Japan Planning Visit for Complementary Experimental Programs Toward Validated Advanced Damping Systems, 项目骨干


论文和专著

代表性论文

Liao, Y., Zhang, R.*, Wu, G., and Sun, H. (2023). “A Frequency-Based Ground Motion Clustering Approach for Data-Driven Surrogate Modeling of Bridges.” Journal of Engineering Mechanics, 149 (9), 04023069.

Liao, Y., Lin, R., Zhang, R.*, and Wu, G. (2023). “Attention-based LSTM (AttLSTM) neural network for seismic response modeling of bridges.” Computers & Structures, 275, 106915.

Chen, Y., Sun, Z.*, Zhang, R., Yao, L., and Wu, G. (2023). “Attention mechanism based neural networks for structural post-earthquake damage state prediction and rapid fragility analysis.” Computers & Structures, 281, 107038.

Liao, Y., Zhang, R., Lin, R., Zong, Z., and Wu, G.* (2022). A stacked residual LSTM network for nonlinear seismic response prediction of bridges. Engineering Mechanics,39, 1-12.

Keivan, A., Zhang, R., Keivan, D., Phillips, B. M.*, Ikenaga, M., and Ikago, K. (2022). “Rate-independent linear damping for the improved seismic performance of inter-story isolated structures.” Journal of Earthquake Engineering, 26(2), 793-816.

Zhang, R., Meng, L., Mao, Z., and Sun, H.* (2021). “Spatiotemporal deep learning for bridge response forecasting.” Journal of Structural Engineering, 147(6), 04021070.

Zhang, R., Liu, Y., and Sun, H.* (2020). “Physics-informed multi-LSTM networks for metamodeling of nonlinear structures.” Computer Methods in Applied Mechanics and Engineering, 369, 113226.

Zhang, R., Liu, Y., and Sun, H.* (2020). “Physics-guided convolutional neural network (PhyCNN) for data-driven seismic response modeling.” Engineering Structures, 215, 110704.

Zhang, R., Hajjar, J., Sun, H.* (2020). “Machine learning approach for sequence clustering with applications to ground motion selection.” Journal of Engineering Mechanics, 146(6), 04020040.

Chen, Z., Zhang, R., Zheng, J., and Sun, H.* (2020). “Sparse Bayesian learning for structural damage identification.” Mechanical Systems and Signal Processing, 140, 106689.

Wu, J., Zhang, R., and Phillips, B.M.* (2020). “Structural seismic resilience evaluation through real-time hybrid simulation with online learning neural networks.” International Journal of Lifecycle Performance Engineering, 4 (1-3), 184-214.

Zhang, R., Chen, Z., Chen, S., Zheng, J., Buyukozturk, O., and Sun, H.* (2019). “Deep long short-term memory networks for nonlinear structural seismic response prediction.” Computers and Structures, 220, 55-68.

Zhang, R., and Phillips, B.M.* (2019). “Cyber-physical approach to the optimization of semiactive structural control under multiple earthquake ground motions.” Computer-Aided Civil and Infrastructure Engineering, 34(5), 402-414.

Zhang, R., Phillips, B.M.*, Fernández Cabán P.L., and Masters, F.J. (2019). “Cyber-physical structural optimization using real-time hybrid simulation.” Engineering Structures, 195, 113-124.

Zhang, R., and Phillips, B.M.* (2017). “Artificial specimen damping for substructure real-time hybrid simulation.” Journal of Engineering Mechanics, 143(8), 04017052.

Zhang, R., Phillips, B.M.*, Taniguchi, S., Ikenaga, M., and Ikago, K. (2017). “Shake table real-time hybrid simulation techniques for the performance evaluation of buildings with inter-story isolation.” Structural Control and Health Monitoring, 24(10), e1971.

Zhang, R., Lauenstein, P.V., and Phillips, B.M.* (2016). “Real-time hybrid simulation of a shear building with a uni-axial shake table.” Engineering Structures, 119, 217-229.

Zhang, R., and Phillips, B.M.* (2016). “Performance and protection of base-isolated structures under blast loading.” Journal of Engineering Mechanics, 142(1), p. 04015063.

专著

Sensor Technologies for Civil Infrastructures. Editor: Wang, M. L., Lynch, J. P., & Sohn, H.,Woodhead Publishing, ISBN: 9780081026960. Chapter 18: Deep learning and data analytics for assessing seismic performance of civil infrastructures.


专利、软件著作权
荣誉和奖励

入选国家高层次青年人才项目,2022

江苏青年科技创新“U35攀峰”青年,2022

Outstanding Graduate Assistant Award of the Graduate School, University of Maryland College Park, 2016

Ratthan L. Khosa ’71 Graduate Fellowship, University of Maryland College Park, 2016

Ratthan L. Khosa ’71 Graduate Fellowship, University of Maryland College Park, 2015

Jacob K. Goldhaber Travel Award, University of Maryland College Park, 2015

Dean’s Fellowship, University of Maryland College Park, 2014

Ratthan L. Khosa ’71 Graduate Fellowship, University of Maryland College Park, 2014

NSF Fellowship, National Science Foundation, 2013

Third Prize, Student Competition in the sixth APSS, Korea Advanced Institute of Science and Technology, 2013

山东大学优秀学生干部,2012

山东大学社会实践优秀个人,2012

山东大学优秀学生二等奖学金,2011

国家奖学金,2010

山东大学优秀学生一等奖学金,2010

山东大学校三好学生,2010


指导学生

王顺尧,东南大学土木工程学院(博士生,2023秋季入学)

舒寅嘉,东南大学土木工程学院(硕士生,2023秋季入学)

李明宸,东南大学土木工程学院(硕士生,2023秋季入学)

朱天巡,东南大学土木工程学院(硕士生,2022秋季入学)

何山,东南大学土木工程学院(硕士生,2022秋季入学)

华旭昀,东南大学土木工程学院(硕士生,2022秋季入学)

廖聿宸,东南大学土木工程学院(博士生,副导师协助指导,2020秋季入学)

林榕,东南大学土木工程学院(硕士生,副导师协助指导,2020-2023;宁德新能源科技算法岗)

肖志宏,东南大学土木工程学院(硕士生,副导师协助指导,2019-2022;上海哔哩哔哩算法岗)


每年招收硕士研究生2名,博士研究生2名,科研经费充足,欢迎勤奋务实、对前沿交叉学科方向感兴趣的同学加入团队开展创新性研究,为学生提供海外名校交流和深造的机会。