Renli Cai
Papers
1
Total Citations
3
H-Index
1
About
Renli Cai is a researcher whose work centers on the structural health monitoring and safety assessment of underground infrastructure, with a particular focus on power utility tunnels and pipelines. His most-cited study, "Intelligent monitoring of subsidence cracks in underground power utility tunnel" (2022), addresses a critical challenge in long-term infrastructure maintenance: detecting and analyzing ground subsidence-induced cracks under complex geological and environmental conditions. This work integrates intelligent monitoring techniques to evaluate the combined effects of surrounding ground buildings, rivers, expressways, and railways on tunnel integrity. While his citation count is still growing, Cai’s research contributes to the emerging field of smart infrastructure, offering practical solutions for preventing catastrophic failures in underground power systems. His work is particularly relevant for civil and geotechnical engineers seeking to enhance the resilience of urban utility networks. By combining field monitoring with analytical methods, Cai provides a foundation for more reliable, data-driven approaches to underground structure maintenance, making his research a valuable reference for those working on infrastructure safety in challenging urban environments.
Research Focus
Key Achievements
Top Papers
- 1