TY  - Data
T1  - Crack depth detection data of Geheyan high concrete dam
A1  - Jia Yu
A1  - Wang Yulei
PY  - 2025
DA  - 2025-06-27
PB  - National Cryosphere Desert Data Center
AB  - In concrete structures, hidden cracks can foreshadow structural accidents as they grow. Detecting these hidden cracks early can help control cracking risks. However, due to the combined effects of their microscopic scale and the macroscopic scale of engineering structures, there is currently a lack of effective methods for detecting hidden cracks in high concrete dams. This study proposes a novel detection method based on the capillary adsorption principle of hidden cracks in concrete. It involves developing a fluorescent solution and using drones equipped with ultraviolet radiation and fluorescence stimulation to detect and locate hidden cracks. The study also introduces a method for interpreting the stimulated forms of hidden cracks and has developed two drone platforms: one for spraying fluorescent solution and stimulation, and the other for ultraviolet radiation and optical imaging detection and positioning. Field tests on the Gehayan high concrete dam have identified hidden cracks as small as 0.01 mm in the sidewall and the road bridge, addressing the industry challenge of efficiently detecting hidden cracks in hard-to-reach areas. This data can support the prevention and control of cracking risks in the Gehayan dam by providing early warning information.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/fdea3b55-ac0f-4944-80ae-dd19b8abb0bf
ER  -