Papers
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Total Citations
2
H-Index
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About
Jialei Lu is a researcher specializing in non-destructive testing (NDT) and structural health monitoring, with a particular focus on the safety assessment of cable-stayed bridges. His work centers on the development of advanced magnetic flux leakage (MFL) detection techniques, specifically for identifying broken cable wires—a critical indicator for determining when bridge cables need replacement. Lu’s most-cited paper, "Study on Magnetic Flux Leakage Detection of Broken Cable Wire Under Robot Spiral Climbing" (2022), introduces an innovative approach that integrates robotic spiral climbing with MFL sensing to improve the accuracy and efficiency of in-service cable inspections. This work addresses a key challenge in bridge maintenance: detecting wire breaks in cables that are difficult to access manually. While his citation count is still growing, the practical significance of his research is evident in its potential to enhance bridge safety and reduce inspection costs. Lu’s contributions are particularly valuable for infrastructure engineers and researchers working on automated inspection systems, positioning him as an emerging voice in the field of robotic NDT for civil engineering.
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Top Papers
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