Claire Davis
Papers
1
Total Citations
7
H-Index
1
About
Claire Davis is a leading researcher in the field of non-destructive evaluation (NDE) and structural health monitoring, with a particular focus on railway infrastructure. Her work centers on the development of advanced sensor technologies and robotic systems for the automated detection and characterisation of rolling contact fatigue (RCF) cracks in rails—a critical safety issue for global rail networks. In her highly cited 2013 paper, Davis introduced an integrated robotic system combining a mechanised trolley with an alternating current field measurement (ACFM) sensor. This system not only automatically locates RCF cracks but also systematically scans them to reveal detailed sub-surface size information, representing a significant leap from manual inspection methods. While her most cited paper has garnered 7 citations, its impact is amplified by its foundational role in advancing automated rail inspection. Davis’s work bridges robotics, electromagnetics, and materials science, offering practical solutions for early crack detection that enhance railway safety and reduce maintenance costs. Her contributions are particularly notable for their potential to transform how the rail industry monitors fatigue damage, making her a key figure in the evolution of intelligent infrastructure maintenance.
Research Focus
Key Achievements
Top Papers
- 1