%0 Dataset
%T The detection and positioning data of hidden cracks in the Xiaowan high concrete dam
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/d4978272-386c-439e-8b12-62d405b31b24
%W NCDC
%R 10.12072/ncdc.nhri_dam.db6885.2025
%A Jia Yu
%A Wang Yukun
%K Concrete hidden cracks;fluorescence stimulation;detection;positioning
%X In concrete structures, hidden cracks that grow can foreshadow structural accidents. 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 Xiaowan high concrete dam have identified hidden cracks as small as 0.01 mm on the downstream face at an elevation of 1150 m, 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 Xiaowan dam by providing early - warning - level information.