Articles | Volume 20, issue 8
https://doi.org/10.5194/tc-20-4401-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-4401-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Experimental investigation of the direct shear strength parameters of compacted snow
Haifeng Huo
College of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
Airport Engineering Safety and Long-term Performance Research Base of the Ministry of Transport, Tianjin 300300, China
Hui Xu
College of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
Jixiu Wu
CORRESPONDING AUTHOR
Technology Innovation Center for Directional Drilling Engineering, Ministry of Natural Resources, Langfang 065000, China
Tao Li
College of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
Jingjin Liu
Dept. of Civil Engineering, Tianjin Univ., Tianjin 300350, China
Enzhao Xiao
R & D Division of Polar Snow and Ice Runways, Polar Research Institute of China, Shanghai 201209, China
Xueyuan Tang
R & D Division of Polar Snow and Ice Runways, Polar Research Institute of China, Shanghai 201209, China
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Short summary
Through a series of direct shear tests, this study analyzes the variation of shear strength parameters (cohesion and internal friction angle) in compacted snow under different conditions of density, sintering time, and temperature. A Genetic Algorithm-Back Propagation neural network model was subsequently developed to establish systematic benchmark values for these parameters. This work provides essential data and a predictive framework for the reliable design of snow structures in cold regions.
Through a series of direct shear tests, this study analyzes the variation of shear strength...