Jiayong Yu

Hunan University

Papers

1

Total Citations

58

H-Index

1

About

Jiayong Yu is a leading figure in structural health monitoring, with a primary focus on the dynamic assessment of civil infrastructure using advanced geodetic and robotic sensing technologies. His most influential work, "Experimental assessment of high sampling-rate robotic total station for monitoring bridge dynamic responses" (2017, 58 citations), represents a landmark contribution to the field. In this study, Yu pioneered the use of high-frequency robotic total stations to capture real-time, sub-millimeter-level displacement data from bridges under operational loads, demonstrating that these instruments can rival traditional accelerometers for dynamic monitoring. This breakthrough has profound implications for cost-effective, non-contact structural evaluation, enabling engineers to detect subtle vibrations and potential damage in bridges without intrusive sensor installation. Yu’s research bridges the gap between surveying engineering and civil infrastructure resilience, offering a practical tool for long-term performance assessment. His work is widely cited by scholars developing smart monitoring systems and has been instrumental in advancing the reliability of robotic total stations for dynamic applications. Through rigorous experimental validation, Yu has established a new paradigm for integrating geodetic methods into structural health monitoring, making him a key contributor to safer, more resilient infrastructure.

Research Focus

Key Achievements

1
H-Index
1
Papers
58
Total Citations
58
Avg Citations/Paper
🏆 Most Cited Paper
Experimental assessment of high sampling-rate robotic total station for monitoring bridge dynamic responses
58 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Hunan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago