no code implementations • 28 Mar 2023 • Yapeng Guo, Peng Zhong, Yi Zhuo, Fanzeng Meng, Hao Di, Shunlong Li
Because of the advantages of easy deployment, low cost and non-contact, computer vision-based structural displacement acquisition technique has received wide attention and research in recent years.
no code implementations • 28 Mar 2023 • Hongtao Cui, Yi Zhuo, Dongyuan Ke, Zhonglong Li, Shunlong Li
The erosion of chloride ions in concrete bridges will accelerate the corrosion of reinforcement, which is an important reason for the decline of bridge durability.
no code implementations • 28 Mar 2023 • Ye Mo, Yi Zhuo, Shunlong Li
Therefore, a method is proposed to detect and localize local track irregularities based on multis-sensor time-frequency features of high-speed railway bridge accelerations.
no code implementations • 23 Mar 2023 • Xin Wang, Yi Zhuo, Shunlong Li
This paper proposes a damage detection method based on the train-induced responses of high-speed railway box girder.