Rock and Soil Mechanics ›› 2022, Vol. 43 ›› Issue (S1): 173-183.doi: 10.16285/j.rsm.2021.0041

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Gradation equation for describing gradation distribution of soil and its applicability

DING Lin-nan1, 2, LI Guo-ying1, 2, WEI Kuang-min1, 2   

  1. 1. Geotechnical Engineering Department, Nanjing Hydraulic Research Institute, Nanjing, Jiangsu 210024, China; 2. Key Laboratory of Failure Mechanism and Safety Control Techniques of Earth-Rock Dam of the Ministry of Water Resources, Nanjing Hydraulic Research Institute, Nanjing, Jiangsu 210029, China
  • Received:2021-01-09 Revised:2022-03-14 Online:2022-06-30 Published:2022-07-13

Abstract:

By deforming and evolving the Weibull model formula, a gradation equation for quantitatively representing the continuous gradation distribution is obtained. The gradation equation can express three typical gradation distribution forms of hyperbola, approximate straight line and reversed S-shaped curve. The gradation distribution of silt, clay, sand, and coarse-grained soil is fitted, and the fitting results are all good. Considering the distribution range of the particle size, the value range of the gradation parameter is studied in detail with the method of theoretical deduction. By combining the actual fitting results with the theoretical derivation results, the final grading parameter range is obtained: c is 0.001−1.5, n is 0.065−4.8. Comparing the new gradation equation with Talbot fractal gradation equation and Wu Er-lu’s single-parameter gradation equation, it is found that the Talbot fractal gradation equation cannot reflect the reversed S-shaped gradation distribution, and the single-parameter gradation equation cannot reflect the uniform and narrow gradation distribution of particles, and the proposed gradation equation fits the above different gradation distributions well. The proposed gradation equation has wider applicability. In addition, the evolution of gradation parameters under the elimination method, similar gradation method, equivalent substitution method, and hybrid method is derived, and the quantitative expression of the gradation distribution before and after scaling is realized.

Key words: gradation curve, gradation equation, curve fitting, scale method

CLC Number: 

  • TU451
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