Lianming Su
Papers
1
Total Citations
27
H-Index
1
About
Lianming Su is a leading researcher in structural health monitoring (SHM) and intelligent infrastructure management, with a focus on the safety and longevity of large civil structures. His most-cited work, the 2019 survey "Survey and study on intelligent monitoring and health management for large civil structure," has garnered 27 citations and serves as a foundational reference for integrating sensor networks, data analytics, and decision-support systems into structural maintenance. Su’s major contributions lie in advancing the use of machine learning and real-time diagnostics to detect damage, predict degradation, and optimize life-cycle management for bridges, dams, and high-rise buildings. His research bridges civil engineering and artificial intelligence, offering practical frameworks for reducing maintenance costs and preventing catastrophic failures. By synthesizing global practices and proposing novel monitoring methodologies, Su has helped shape modern SHM paradigms. His work is particularly valued by engineers and researchers seeking to transition from reactive repairs to proactive, data-driven health management. With a growing citation footprint, Lianming Su continues to influence the next generation of resilient infrastructure design.
Research Focus
Key Achievements
Top Papers
- 1