Title: Health Monitoring and Vibration Control for Infrastructures against Natural Disasters
Short Biography:
Professor Chunwei Zhang is the Chair Distinguished Professor at ShaoxingUniversity, China. He is recognized as a national scientific and technological innovation leader, Clarivate “Highly Cited Scientist,” Elsevier “Highly Cited Chinese Scholar,” and “Top 2% of Scientists in the World.” He has received multiple provincial and higher-level talent titles, including Outstanding Young Expert, Excellent Expert, Model Worker, and Academic Pioneer. Specializing in the inter-disciplinary of mechanics, civil engineering, and artificial intelligence, his expertise includes structural vibration control, blast and impact resistance, and smart materials and structures. He has led over 20 national and ministerial level competitive projects, including national key R&D programs, the National Natural Science Foundation, and Australian Research Council grants, with total funding exceeding 180 million yuan. As the first/corresponding author, he has published over 400 SCI-indexed papers in renowned journals, with an H-index of 63. He holds 57 authorized Chinese invention patents as the primary inventor, along with 35 patents in the U.S., Europe (effective in countries including the UK, France, Germany, etc.), Japan, Korea, Canada, and Australia. As the primary contributor, he has won provincial Science and Technology Progress Prize (First Grade Prize), Government International Cooperation Award, Provincial Natural Science Academic Innovation Award, and Provincial Youth Science and Technology Award, as well as the Japanese Society Seismic Isolation Award. As a key contributor, he has received the National Science and Technology Progress Prize (Second Grade Prize), the Ministry of Education Science and Technology Progress Prize, and the Guangdong Provincial Science and Technology Progress Prize etc. He has promoted the application of structural vibration control and structural health monitoring technologies in major projects across Shandong, Liaoning, Guangdong, Zhejiang, and other regions, including hybrid wind and seismic control for the Canton Tower (Little Waist) and monitoring systems for the terminal building of Qingdao Jiaodong International Airport. He served as the Vice Chairman of the First Council of the Shandong Youth Scientists Association, Editorial board members of over 10 important journals in relevant fields, Associate Editor in chief of the Journal of Disaster Prevention and Reduction, chairman of the 8th International Conference on Protection of Structures against Hazards, secretary-general of the 7th World Conference on Structural Control and Monitoring, executive committee member of the 1st to 9th Asia Pacific Young Researchers and Graduates Symposium on Structural Engineering, member of the steering committee or academic committee of over 20 domestic and international academic conferences, and fellow of the International Society of Engineering Asset Management.). He also served as an expert reviewer for multiple national science funding agencies, including the European Science Foundation, the Australian Research Council (ARC), the Croatian Science Foundation (HRZZ), and the Chilean National Research and Development Agency (ANID) etc.
Abstract:
Under the impact of extreme natural disasters such as strong earthquakes, severe winds, shock and impact, and geological hazards, the safety and functional sustainability of key infrastructure face severe challenges. Structural health monitoring (SHM) and vibration control (VC) serve as two core technical pathways to enhance infrastructure resilience against disasters. In recent years, significant progress has been made in sensing, data-driven modeling, real-time identification, and intelligent control. This keynote systematically reviews the current research status of infrastructure health monitoring and vibration control for natural disaster prevention, with a focus on AI-driven damage identification and condition assessment, as well as adaptive/intelligent active control strategies based on monitoring data. Furthermore, the keynote explores the integrated closed-loop framework of “monitoring-diagnosis-control-decision,” analyzing its application potential and key bottlenecks in bridges, high-rise buildings, and new energy infrastructure engineering, including sensor optimization, uncertainty quantification, time-varying/nonlinear system identification, control-monitoring coupling design, and robustness and recoverability assessments under extreme events. Finally, the keynote envisions the convergence trends of digital twins, physics-informed machine learning, and resilience-oriented design in next-generation infrastructure disaster prevention, providing research insights and engineering implications for developing “perceivable, diagnosable, controllable, and recoverable” intelligent infrastructure.