Shiju Chang

Papers

Total Citations

H-Index

About

Shiju Chang is a researcher specializing in geotechnical and structural health monitoring, with a particular focus on the application of pipeline inertial measurement technology for dam safety. Their most-cited work, "A mileage correction method of pipeline inertial measurement for dam internal deformation monitoring" (2024), addresses a critical challenge in using pipeline measurement robots for precise internal deformation monitoring of dams. By developing a novel mileage correction method, Chang has significantly improved the accuracy and reliability of these robotic systems, enabling more effective detection of subtle structural shifts that are vital for dam safety and maintenance. This contribution enhances the efficiency of long-term monitoring programs, reducing the risk of catastrophic failures. With 1 citation to date, this work is gaining recognition among engineers and researchers in the field of infrastructure monitoring. Chang’s research bridges the gap between advanced robotics and practical civil engineering, offering a scalable solution for aging dam infrastructure. Their work is particularly notable for its potential to transform traditional deformation monitoring methods, making it a valuable resource for students and professionals interested in the intersection of sensor technology, data correction, and structural health assessment.