Vibrant Team
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About

Team Profile

Our research team is dedicated to investigating the vibration of structures and their control, focusing on wind-induced vibrations, structural health monitoring, and vibration control. We employ a range of methods, including theoretical analysis, numerical simulations, experimental studies, and field measurements, integrating expertise and tools from structural dynamics, Bayesian inference, intelligent optimization, machine learning, digital twins, smart sensors, and innovative vibration control devices. Our research aims to understand the vibration characteristics and mechanisms of infrastructure—such as bridges and wind turbine structures—under complex environmental conditions and loads, including ambient and mechanical excitations, temperature variations, wind, waves, vehicles, pedestrians, and earthquakes. We perform system modeling and response analysis, structural optimization, system identification, and condition assessment, while proposing reliable, efficient, and durable vibration control devices to enhance the safety, stability, durability, and intelligence of these structures.

We warmly invite dedicated, diligent, and explorative students and postdocs to join our research team. Let us work together, delve into research, and enjoy the joy of making novel contributions! We also welcome colleagues from both domestic and international institutions to connect with us for collaborations and exchanges.

Team Members

Principal Investigator

Principal Investigator Photo

Dr. Zhouquan Feng, a Full Professor at Hunan University, is a 'Young Furong Scholar' of Hunan Province and a 'Yuelu Scholar' at Hunan University. He earned his Bachelor’s and Master’s degrees in Civil Engineering and Bridge and Tunnel Engineering from Hunan University in 2005 and 2007, respectively, and his PhD in Civil Engineering from the Hong Kong University of Science and Technology in 2013. Dr. Feng’s research encompasses wind-induced vibration, structural health monitoring, and vibration control. He has served as PI for multiple projects funded by the National Natural Science Foundation of China and other entities. He has published over 70 papers, including 30+ in SCI-indexed journals, and holds over 10 patents, most of which have been commercialized. His work is applied in major bridge projects and offshore wind farms. He has received three Science and Technology Awards and serves on academic society committees and journal editorial boards.

Email: zqfeng(AT)hnu.edu.cn; zqfeng(AT)outlook.com

Current Members and Alumni

  • Postgraduate students and research assistants:
  • **Class of 2024**

    • CHEN Zhi (PhD student)
    • YE Zhengtao (Research Assistant)
    • LAI Xiantao (Master's student)
    • HENG Weilin (Master's student)
    • DANG Guoyu (Master's student)

    **Class of 2023**

    • DENG Feiyun (PhD student)
    • ZHANG Yuhuan (Master's student)
    • GAN Zepeng (Master's student)
    • SHI Shuangfa (Master's student)

    **Class of 2022**

    • ZHANG Jiren (PhD student)
    • JING Haokun (PhD student, joint program with Sapienza University of Rome)
    • CHEN Zhi (Master's student/PhD continuous study)
    • XUAN Xinyan (Master's student)
    • DAI Jinyuan (Master's student)

    **Class of 2021**

    • DENG Jiayi (MEng; Thesis: Aerodynamic shape optimization of streamlined bridge deck cross-sections using surrogate models)
    • FAN Zhoujian (MEng; Thesis: Longitudinal movement control using hybrid damping measures for long-span suspension bridges under wind and train loads)

    **Class of 2020**

    • SONG Jia (MEng; Thesis: Analysis and control of longitudinal motion response of a long-span suspension bridge under moving train loads)
    • CHEN Shixuan (MEng; Thesis: Vibration Characteristics Analysis and Modal Parameter Identification of Bridge Under Moving Vehicle Excitation)

    **Class of 2019**

    • WANG Wenzan (MEng; Thesis: Structural model updating based on modal features and modified firefly algorithm)
    • HUANG Yuheng (MEng; Thesis: Dynamic Characteristics and Vibration Control of Floating Wind Turbine with Double Cable Mooring System)

    **Class of 2018**

    • WANG Shuai (PhD student, Co-supervised)
    • LIN Yang (MEng, National Scholarship recipient; Thesis: Flutter Derivatives Identification and Uncertainty Quantification for Bridge Decks, The Excellent Master's Thesis of Hunan University and Hunan Province)
    • WU Qiangqiang (MEng; Thesis: Inerter-based dampers for flutter control of long-span bridges)

    **Class of 2016**

    • LIANG Longteng (PhD, Co-supervised; Thesis: Longitudinal motion characteristics of floating-type suspension bridges and their mitigation with eddy current dampers)
    • ZHAO Bin (MEng, Co-supervised; Thesis: Modal Parameter Identification and Their Uncertainty Quantification of Ambient Excited Structures)
    • LIU Gang (MEng, Co-supervised; Thesis: Aerodynamic characteristics and reliability computation of wind turbine blades)
  • Undergraduate students:
  • **2024 SIT Projects**

    1. Prediction of Longitudinal Response of Suspension Bridges under Train Loads Based on Deep Learning (Provincial-level; Team Leader: SU Zhirui; Team Members: LIU Hongyuan, SU Maorong, ZHOU Jin; Ongoing).

    2. Comparative Study of Vortex-Induced Force Models for Streamlined Box Girders (Provincial-level; Team Leader: ZHANG Junan; Team Members: LIU Fengkai, LIU Chang, TAN Keshuai; Ongoing).

    **2022 SIT Projects**

    1. Arrangement Optimization of Shear Studs in the Hogging Moment Region of Steel-Concrete Composite Continuous Beams (National-level; Team Leader: LIU Mengliang; Team Members: LI Jinping, YI Hang, XIAO Feng; Completed, Good).

    2. Topology Optimization of the Arc-Shaped Cutouts of U-Ribs and Crossbeams in Orthotropic Steel Bridge Decks (Provincial-level; Team Leader: LU Rui; Team Members: SHI Beijia, YIN Zijie, LIU Rundong; Completed, Good).

    **2021 SIT Project**

    - Machine Learning Strategy for Predicting the Three Aerostatic Force Coefficients on Streamlined Box Girders (Provincial-level; Team Leader: QI Youjia; Team Members: CHAO Shen'ao, CHEN Daoxin, LI Jie, FAN Jugang; Completed).

    **2020 SIT Projects**

    1. Model Updating and Damage Identification Based on Heuristic Algorithms and Bayesian Inference (Provincial-level; Team Leader: YE Zhengtao; Team Members: LI Jinhong, SHI Yuzhao, WANG Yi, ZUO Xun; Completed, Good).

    2. Vortex-Induced Vibration Control of Long-Span Bridges Using Eddy Current Dampers (Provincial-level; Team Leader: CHEN Zhi; Team Member: LIU Yi; Completed, First Prize).

    **Every year, supervising 2-4 students in their final year projects (FYP) **

Blog

Coming Soon...

Publications

Publications in SCI-Indexed Journals

  • C Wang, H Xu, Z Huang, Z Feng, Q Li, X Hua*, Z Chen. Control of unexpected wind-induced vibration of an in-service cable-stayed bridge using vortex generators. Journal of Wind Engineering and Industrial Aerodynamics 261, 106079. [Link]
  • Z Feng, F Deng*, L Liang, Z Chen, X Hua. Bilateral-Plate Eddy Current Damping: Paradigm Shift for Enhancing Energy Dissipation in Vibration Control, Journal of Engineering Mechanics-ASCE, 2025, 151(5): 04025008. [Link]
  • J Zhang, Z Feng*, J Dai, Y Wang, X Hua, WJ Yan. Bayesian Approach for Damping Identification of Stay Cables Under Vortex-Induced Vibrations.Structural Control and Health Monitoring, 2025, 5532528. [Link]
  • Z Feng, Y Zhang, H Jing*, L Qiao, H Zhang, Z Chen. Train-induced longitudinal motion in suspension bridges: Synergetic control with eddy current damping and frictional damping. Structures, 2025, 71: 108002. [Link]
  • H Jing, Z Feng*, Z Chen, G Huang, X Hua, Z Chen, T Wan. Analytical Solutions for Static Longitudinal Displacements of Suspension Bridges Under a Moving Vertical Concentrated Load. Engineering Structures, 2024, 320: 118871. [Link]
  • Z Feng, J Zhang*, X Xuan, Y Wang, X Hua, Z Chen, W Yan. Bayesian Time Domain Approach for Damping Identification and Uncertainty Quantification in Stay Cables Using Free Vibration Response. Engineering Structures, 2024, 315: 118477. [Link]
  • H Jing, Z Feng*, Z Chen, X Hua, Z Chen, T Wan. Enhancing Longitudinal Performance in Railway Suspension Bridges Through an Integrated Cable Restrainer System. Structures, 2024, 62:106769. [Link]
  • Z Feng*, J Zhang, L Katafygiotis, X Hua, Z Chen. Bayesian Spectral Decomposition for Efficient Modal Identification using Ambient Vibration. Structural Control and Health Monitoring, 2024, 5137641. [Link]
  • C Wu, H Jing, Z Feng*, J Song, T Wan, Z Chen. Control of longitudinal movement response of suspension bridges induced by passing trains using low-exponent fluid viscous dampers. Structures, 2024, 62:106330. [Link]
  • S Wang, H Zhang*, Z Chen, X Hua, Z Feng. Simplified Nonlinear Damping Force Formula for Rotary Eddy Current Dampers and Comparative Hazard Analysis under Seismic Excitation with Fluid Viscous Dampers, Journal of Structural Engineering, 2024, 150(4): 04024022. [Link]
  • L Liang, Z Feng*, H Zhang, Z Chen, C Qian. Development and Application of a Power Law Constitutive Model for Eddy Current Dampers. Computer Modeling in Engineering & Sciences, 2024, 138(3): 2403-2419. DOI: 10.32604/cmes.2023.031260. [Link]
  • Z Feng, H Jing*, Q Wu, Y Li, X Hua. Performance evaluation of inerter-based dampers for bridge flutter control: a comparative study. International Journal of Structural Stability and Dynamics, 2024: 2450058. [Link]
  • L Liang, Z Feng*, H Zhang, Z Chen, L Liang. An Analytical Study on Using Maxwell-Coulomb Friction Damper to Mitigate Quasi-Static Response of SDOF Systems. KSCE Journal of Civil Engineering, 2023:1-8. [Link]
  • X Zhang, J He*, X Hua, Z Chen, Z Feng. Simultaneous Identification of Time-Varying Parameters and External Loads Based on Extended Kalman Filter: Approach and Validation. Structural Control and Health Monitoring, 2023: 8379183. [Link]
  • L Liang, Z Feng*, Y Xu, Z Chen, L Liang. A Parallel Scheme of Friction Dampers and Viscous Dampers for Girder-End Longitudinal Displacement Control of a Long-Span Suspension Bridge under Operational and Seismic Conditions. Buildings, 2023, 13(2): 412. [Link]
  • Z Feng*, Y Huang, X Hua, J Dai, H Jing. Vibration-resistant performance study of a novel floating wind turbine with double-rope mooring system and stroke-limited TMD. Journal of Marine Science and Engineering, 2023, 11(1): 58. [Link]
  • G Huang, J Hu, X Hua, Z Feng*, Z Chen, T Wan. Analytic Solution to Longitudinal Deformation of Suspension Bridges under Live Loads. Journal of Bridge Engineering, 2023, 28(2): 04022147. [Link]
  • Z. Feng, W. Wang, J. Zhang*. Probabilistic structural model updating with modal flexibility using a modified firefly algorithm. Materials, 2022, 15(23): 8630. [Link]
  • W.J. Yan*, Z.Q. Feng, W. Yang, K.V. Yuen*. Bayesian inference for the dynamic properties of long-span bridges under vortex-induced vibration with Scanlan's model and dense optical flow scheme. Mechanical Systems and Signal Processing, 2022, 174:109078. [Link]
  • Y Wang, Z Chen, C Yang, Z Liu*, J He, Z Feng. A novel eddy current damper system for multi-mode high-order vibration control of ultra-long stay cables. Engineering Structures, 2022, 262: 114319. [Link]
  • J Yu, Z Feng*, X Zhang, H Sun, J Peng. Compound damping cable system for vibration control of high-rise structures, Smart Structures and Systems, 2022, 29(4): 641-652. [Link]
  • Z. Feng*, Y. Lin. Flutter Derivatives Identification and Uncertainty Quantification for Bridge Decks Based on the Artificial Bee Colony Algorithm and Bootstrap Technique. Applied Sciences. 2021, 11(23):11376. [Link]
  • C Wang, X Hua, Z Feng*, H Xiao, Z Chen, J Zhang. Experimental investigation on vortex-induced vibrations of a triple-box girder with web modification, Journal of Wind Engineering and Industrial Aerodynamics, 2021, 218: 104783. [Link]
  • B Chen, B Basu, X Hua*, Z Feng, Z Zhang, Z Chen, S R.K.Nielsen. Online DWT algorithm for identification of aerodynamic damping in wind turbines, Mechanical Systems and Signal Processing, 2021. 152: 107437. [Link]
  • Z. Feng*, Z. Ye, W. Wang, Y. Lin, Z. Chen, X. Hua. Structural Model Identification Using a Modified Electromagnetism-like Mechanism Algorithm, Sensors, 2020, 20(17): 4789. [Link]
  • Z. Feng*, Y. Lin, W. Wang, X. Hua, Z. Chen. Probabilistic updating of structural models for damage assessment using approximate Bayesian computation, Sensors, 2020, 20(11): 3197. [Link]
  • J He*, X Zhang, Z Feng, Z Chen, Z Cao. A two-stage Kalman filter for the identification of structural parameters with unknown inputs, Smart Structures and Systems, 2020, 26(6): 693-701. [Link]
  • W. Shen, A. Niyitangamahoro, Z. Feng*, H. Zhu. Tuned Inerter Dampers for Civil Structures Subjected to Earthquake Ground Motions: Optimum Design and Seismic Performance, Engineering Structures, 2019, 198: 109470. [Link]
  • L. Liang, Z. Feng*, Z. Chen. Seismic control of SDOF systems with nonlinear eddy current dampers, Applied Sciences, 2019, 9(16): 3427. [Link]
  • ZQ Feng*, B Zhao, XG Hua, ZQ Chen. Enhanced EMD-RDT method for output-only ambient modal identification of structures. Journal of Aerospace Engineering, 2019, 32(4): 04019046. [Link]
  • Z Feng, W Shen*, Z Chen. Consistent Multilevel RDT-ERA for Output-Only Ambient Modal Identification of Structures, International Journal of Structural Stability and Dynamics, 2017, 17(9): 1750106. [Link]
  • Y Han*, Z Q Chen, X G Hua, Z Q Feng, G J Xu. Wind loads and effects on rigid frame bridges with twin-legged high piers at erection stages, Advances in Structural Engineering, 2017, 20(10): 1586-1598. [Link]
  • Z Feng*, LS Katafygiotis. The Effect of Non-Synchronous Sensing on Structural Identification and Its Correction, Smart Structures and Systems, 2016, 18(3): 541-568 [Link]
  • WJ Yan, Z Feng*, WX Ren. New insights into coherence analysis with a view towards extracting structural natural frequencies under operational conditions, Measurement, 2016, 77: 187-202 [Link]
  • J Wang, LS Katafygiotis, Z Feng*. An Efficient Simulation Method for the First Excursion Problem of Linear Structures Subjected to Stochastic Wind Loads, Computers and Structures, 2016, 166: 75-84 [Link]
  • Y Li, X Zhang, G Ding*, Z Feng. Developing a quantitative construction waste estimation model for building construction projects, Resources, Conservation and Recycling, 2016, 106: 9-20 [Link]

Deliverables

Coming Soon...

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