2018.10 英国利物浦大学工程专业 博士 导师：Prof Siu-Kui Au

2014.05 英国利物浦大学土木工程专业 学士

2020.09-至今 bw必威西汉姆联官方网站，副教授

2018.08-2020.07，英国谢菲尔德大学动力学研究中心，博士后

结构健康监测

贝叶斯模态识别

数字孪生

机器学习与人工智能

桥梁智能运维

[1]      国家自然科学基金青年基金项目，基于物理-数据融合模型的桥梁运营模态识别方法研究（52208150），2023-2025，主持。

[2]      江苏省自然科学基金青年基金项目，面向桥梁动力学参数的物理-数据融合模型识别与更新机理研究（BK20220853），2022-2025，主持。

[3]      江苏省重点研发计划项目，基于数字孪生的智慧桥梁建养一体化关键技术与系统研发（BE2021089），2021-2024，骨干参与。

[4]      江苏省自然科学基金面上项目，多尺度多源不确定性下FRP结构可靠性分析方法研究（BK20211174），2022-2024，参与。

[5]      英国工程与自然科学研究理事会基金项目，动力学设计中的数字孪生技术（EP/R006768/1），2018-2023，参与（博士后课题依托项目）。

[6]      英国工程与自然科学研究理事会基金项目，环境模态识别的不确定性度量与管理（EP/N017897/1），2016-2019, 参与（博士课题依托项目）。

[1]      Zhu Y C, Au S K. Spectral characteristics of asynchronous data in operational modal analysis[J]. Structural Control and Health Monitoring, 2017, 24(11) .

[2]      Zhu Y C, Au S K. Bayesian operational modal analysis with asynchronous data, part I: Most probable value[J]. Mechanical Systems and Signal Processing, 2018, 98: 652-666.

[3]      Zhu Y C, Au S K. Bayesian operational modal analysis with asynchronous data, Part II: Posterior uncertainty[J]. Mechanical Systems and Signal Processing, 2018, 98: 920-935.

[4]      Zhu Y C, Xie Y L, Au S K. Operational modal analysis of an eight-storey building with asynchronous data incorporating multiple setups[J]. Engineering Structures, 2018, 165 : 50-62.

[5]      Brownjohn J M W, Au S K, Zhu Y C, et al. Bayesian operational modal analysis of Jiangyin Yangtze River Bridge[J]. Mechanical Systems and Signal Processing, 2018, 110: 210-230.

[6]      Zhu Y C, Au S K, Brownjohn J M W. Bayesian operational modal analysis with buried modes[J]. Mechanical Systems and Signal Processing, 2019, 121: 246-263.

[7]      Zhu Y C, Au S K. Bayesian modal identification method based on general coherence model for asynchronous ambient data[J]. Mechanical Systems and Signal Processing, 2019, 132: 194-210.

[8]      Zhu Y C, Au S K. Bayesian data driven model for uncertain modal properties identified from operational modal analysis[J]. Mechanical Systems and Signal Processing, 2020, 136: 106511.

[9]      Yan W J, Chronopoulos D, Yuen K V, Zhu Y C. Structural anomaly detection based on probabilistic distance measures of transmissibility function and statistical threshold selection scheme[J]. Mechanical Systems and Signal Processing, 2022, 162: 108009.

[10]  Zhu Y C, Gardner P, Wagg D J, et al. Robust equation discovery considering model discrepancy: A sparse Bayesian and Gaussian process approach[J]. Mechanical Systems and Signal Processing, 2022, 168: 108717.

[11]  Zhu Y C, Xiong W, Song X D. Structural performance assessment considering both observed and latent environmental and operational conditions: A Gaussian process and probability principal component analysis method[J]. Structural Health Monitoring, 2022, 21(6): 2531-2546.

[12]  Jiang C, Xiong W, Cai C S, Zhu Y C. Preload loss of high-strength bolts in friction connections considering corrosion damage and fatigue loading[J]. Engineering Failure Analysis, 2022, 137: 106416.

[13]  Ma Y Z, Zhu Y C, Li H S, et al. Adaptive Kriging-based failure probability estimation for multiple responses[J]. Reliability Engineering & System Safety, 2022, 228: 108771.

[14]  Zhu Y C, Cantero Chinchilla S, Meng H, et al. Damage detection, quantification, and localization for resonant metamaterials using physics-based and data-driven methods[J]. Structural Health Monitoring, 2023, 22(5): 3338-3355.

[15]  Jiang C, Xiong W, Cai C S, Zhou L Y, Zhu Y C. Fatigue assessment of fillet weld in steel bridge towers considering corrosion effects[J]. Engineering Failure Analysis, 2023, 143: 106901.

[16]  Jiang C, Xiong W, Cai C S, Zhou X Y, Zhu Y C, et al. Parametric study on fatigue behavior of steel friction connections in shear[J]. Journal of Constructional Steel Research, 2023, 207: 107951.

[17]  朱逸尘, 郑云文, 张立奎, 等. 基于高斯过程的桥梁代表性监测数据选取策略[J]. 土木工程学报, 2024, 57(10): 47-56.

[18]  Zhu Y C, Zheng Y W, Xiong W, et al. Online Bridge Structural Condition Assessment Based on the Gaussian Process: A Representative Data Selection and Performance Warning Strategy[J]. Structural Control and Health Monitoring, 2024, 2024(1): 5579734.

[19]  Yang Y L, Zhu Y C, Cai C S. Research progress and prospect of digital twin in bridge engineering[J]. Advances in Structural Engineering, 2024, 27(2): 333-352.

[20]  Zhu Y C, Wu S H, Xiong W, et al. Bayesian operational modal analysis considering environmental effect[J]. Mechanical Systems and Signal Processing, 2025, 223: 111845.

谷歌学术：https://scholar.google.co.uk/citations?user=SpAoxxIAAAAJ&hl=en

本科生课程：

1.结构设计原理（研讨）

2.交通基础设施BIM

3.创新设计与实验

4.桥梁工程综合设计

5.土木交通材料导论（研讨）

6.大型桥梁基础工程（桥梁智能建养暑校）

研究生课程：

1.桥梁数字孪生与监测评估

2.数字桥梁I：数据科学