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.
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
**Class of 2024**
**Class of 2023**
**Class of 2022**
**Class of 2021**
**Class of 2020**
**Class of 2019**
**Class of 2018**
**Class of 2016**
**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) **
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