Structural health monitoring · Intelligent sensing
Zhenkun Li
Postdoctoral Researcher
Department of Wind and Energy Systems
Technical University of Denmark, Denmark
I study how measurements and computational models can reveal the condition of structures. My research brings together structural dynamics, machine learning, and intelligent sensing for infrastructure assessment.
At DTU, my current work focuses on structural health monitoring, digital twins, computer vision, and predictive maintenance for wind turbines. My wider research spans drive-by bridge monitoring, damage identification, and Bayesian inference.
Email · Google Scholar · ORCID · GitHub · LinkedIn
Roskilde, Denmark
Research at a glance
Selected reading
A comprehensive review of indirect bridge health monitoring
Mechanical Systems and Signal Processing · 2026
Pedestrian-sensed indirect footbridge frequency identification
Journal of Sound and Vibration · 2026
Automation in Construction · 2024
Recent updates
1 October 2026
Joined DTU Wind and Energy Systems as a Postdoctoral Researcher, working on wind turbine operations and maintenance.
July 2026
Supervised the team receiving the Audience Prize at the EWSHM Young Researcher Challenge.
29 January 2026
Our review of indirect bridge health monitoring was published in Mechanical Systems and Signal Processing.
Interested in structural monitoring, sensing, or data-driven assessment? Get in touch.