Personal Information
Yi-Chen Zhu, Ph.D.,
Associate Professor, Research Advisor for Ph.D. Students
Department of Bridge Engineering, School of Transportation
Southeast University
Nanjing, Jiangsu 210096, China
Email: zhuyichen@seu.edu.cn
Research Interests
Structural Health Monitoring
Machine Learning
Bayesian Operational Modal Analysis
Digital Twin
Bridge Intelligent Operation and Maintenance
Research Grants
National Natural Science Foundation of China (52208150), Bridge Operational Modal Analysis based on Physics-Data Fusion Model, Principal Investigator, 2023-2025
Natural Science Foundation of Jiangsu Province (BK20220853), Identification and Updating of Physics-Data Fusion Model for Bridge Dynamic Properties, Principal Investigator, 2022-2025
Natural Science Foundation of Jiangsu Province (BK20201274), Development of intelligent bridge maintenance system based on digital twin techniques, Key Participant, 2021-2024
Engineering and Physical Sciences Research Council UK (EP/R006768/1), Digital Twins for Improved Dynamic Design，EPSRC, Key Participant, 2018-2020
Engineering and Physical Sciences Research Council UK (EP/N017897/1), Uncertainty Quantification and Management in Ambient Modal Identification, EPSRC, Key Participant, 2014-2018
Education
2018, PhD, School of Engineering, University of Liverpool, UK
2014, 1st Class, 1st in Civil Engineering and 2nd in School of Engineering
Working Experience
2020-Present, Associate Professor, Southeast University, China
2018-2020, Research Associate, The University of Sheffield, UK
Selected Publications
Zhu, Yi-Chen, Sergio Cantero Chinchilla, Han Meng, Wang-Ji Yan, and Dimitrios Chronopoulos. "Damage detection, quantification, and localization for resonant metamaterials using physics-based and data-driven methods." Structural Health Monitoring,2023, 14759217231152434.
Zhu Yi-Chen, Gardner Paul, Wagg David J., Barthorpe Robert J., Cross Elizabeth J., Fuentes Ramon. Robust equation discovery considering model discrepancy: A sparse Bayesian and Gaussian process approach[J]. Mechanical Systems and Signal Processing,2022,168:108717.
Zhu Yi-Chen, Xiong Wen, Song Xiao-Dong. 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, 14759217211062099.
Yan Wang-Ji, Chronopoulos Dimitrios, Yuen Ka-Veng, Zhu Yi-Chen. 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.
Zhu Yi-Chen, Au Siu-Kui. Bayesian data driven model for uncertain modal properties identified from operational modal analysis[J]. Mechanical Systems and Signal Processing,2020,136(C):106511.
Zhu Yi-Chen, Au Siu-Kui. Bayesian modal identification method based on general coherence model for asynchronous ambient data[J]. Mechanical Systems and Signal Processing,2019,132:194-210.
Zhu Yi-Chen, Au Siu-Kui, Brownjohn James Mark William. Bayesian operational modal analysis with buried modes[J]. Mechanical Systems and Signal Processing,2019,121:246-263.
Brownjohn James Mark William, Au Siu-Kui, Zhu Yi-Chen, Sun Zhen, Li Bin-Bin, Bassitt James, Hudson Emma, Sun Hong-Bin. Bayesian operational modal analysis of Jiangyin Yangtze River Bridge[J]. Mechanical Systems and Signal Processing,2018,110:210-230.
Zhu Yi-Chen, Xie Yan-Long, Au Siu-Kui. Operational modal analysis of an eight-storey building with asynchronous data incorporating multiple setups[J]. Engineering Structures,2018,165:50-62.
Zhu Yi-Chen, Au Siu-Kui. Bayesian operational modal analysis with asynchronous data, Part II: Posterior uncertainty[J]. Mechanical Systems and Signal Processing,2018,98:920-935.
Zhu Yi-Chen, Au Siu-Kui. Bayesian operational modal analysis with asynchronous data, part I: Most probable value[J]. Mechanical Systems and Signal Processing,2018,98:652-666.
Zhu Yi-Chen, Au Siu-Kui. Spectral characteristics of asynchronous data in operational modal analysis[J]. Structural Control and Health Monitoring 2017; 24(11).
Google Scholar
https://scholar.google.co.uk/citations?user=SpAoxxIAAAAJ&hl=en