4.5 Article

Effect of Freeze-Thaw Cycles on Shear Strength of Tailings and Prediction by Grey Model

期刊

MINERALS
卷 12, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/min12091125

关键词

tailings; freeze-thaw cycles; triaxial test; pore structure; Grey Model

资金

  1. National Natural Science Foundation of China [51974145, 52074144, 51904144]
  2. Key Laboratory of Civil Engineering Comprehensive Development and Utilization of Industrial Solid Waste, universities in Sichuan Province [SC_FQWLY2020-Y-01]
  3. Open project of Geotechnical and Underground Engineering Key Laboratory of Ministry of Education (Tongji University) [KLE-TJGE-B2001]

向作者/读者索取更多资源

Tailings dams in cold regions experience freeze-thaw cycles, which have a significant impact on the mechanical properties and pore structure of tailings. Optimal moisture content falls between 10%-15%, and shear strength increases under higher confining pressures but decreases after more freeze-thaw cycles. The Grey Model prediction shows high accuracy in predicting the shear strength of tailings.
Tailings dams in the seasonal frozen regions experience freeze-thaw cycles with the change in natural geography and climatic conditions, which may have a strong influence on the mechanical properties of the tailings. In this paper, the effects of freeze-thaw cycles on the mechanical properties and pore structure of tailings were investigated. Triaxial tests were carried out on tailings with different moisture contents (5%, 10%, 15%, 20%) under different confining pressures (50 kPa, 100 kPa, 200 kPa, 300 kPa) after different freeze-thaw cycles (10, 20, 30, 40, 50). The pore structures of tailings were quantitatively analyzed as well. Furthermore, grey system theory was applied to develop a shear strength prediction model for tailings in cold regions. The results showed that the optimal moisture content of tailings fell 10%-15%. The shear strength of the tailings increased under higher confining pressures, while it decreased after more freeze-thaw cycles. Irrecoverable large pore deformation between particles within the tailings was found after 40 freeze-thaw cycles. After 50 freeze-thaw cycles, the proportion of pores larger than 100 mu m increased from 22.76% to 48.45%. Predictions based on the Grey Model were found to be consistent with the test results and the shear strength test law. The residual error and class ratio dispersion of the model were less than 0.2, indicating that the Grey Model has high prediction accuracy and thus can be used for the prediction of the shear strength of tailings.

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