考虑粒组分类影响的最小孔隙比分布及模型验证

doi:10.16285/j.rsm.2021.2079

Rock and Soil Mechanics ›› 2022, Vol. 43 ›› Issue (S2): 193-204.doi: 10.16285/j.rsm.2021.2079

• Fundamental Theroy and Experimental Research • Previous Articles Next Articles

Minimum void ratio distribution and model verification considering influence of grain size fraction

LI Shi-bo^{1, 2}, DAI Jun-fang¹, WU Jiang-wei³, XIAO Le-le^{1, 2}

1. College of Geology and Environment, Xi’an University of Science and Technology, Xi’an, Shaanxi 710054, China; 2. Shaanxi Provincial Key Laboratory of Geological Support for Coal Green Exploitation, Xi’an University of Science and Technology, Xi’an, Shaanxi 710054, China; 3. Institute of Geotechnical Engineering, Sinosteel Maanshan General Institute of Mining Research Co., Ltd., Maanshan, Anhui 243000, China

Received:2021-12-09 Revised:2022-03-29 Online:2022-10-10 Published:2022-10-03
Supported by:
This work was supported by the Young Scholars of National Natural Science Foundation of China (41907255, 41602359, 41807190), the Natural Science Basic Research Plan in Shaanxi Province of China (2017JQ4019) and the Open Fund of Key Laboratory of the Northern Qinghai–Tibet Plateau Geological Processes and Mineral Resources (2019-KY-01).

Abstract

Abstract: Minimum void ratio is an effective physical index to determine the compactness and pore characteristics of soil mass. A fast and effective method to determine the minimum void ratio of soil mass can provide reliable parameters for soil consolidation and stability. Most of the model parameters corresponded to the ratio of fine-coarse particle size one by one, so it is difficult to estimate the minimum void ratio of fine-coarse mixed materials. By analyzing the grain size composition, deposition and consolidation stability of tailings, and combining with the minimum void ratio test results of tailings with 8 different grain sizes and 7−9 different fine grain contents, a power function of the minimum void ratio distribution model parameters of tailings with different grain size fractions was obtained. Based on the grain size fraction of mixed tailings, the exponent values to determine the power function relationship of parameters were given. Six groups of other soil materials grain size within the range of grain size fraction and three groups grain size without the range of grain size fraction were used to verify the model parameters. The results show that the model considering the influence of grain size fraction has simple parameters and high accuracy in estimating the minimum void ratio of different soil materials. The minimum void ratio given is reasonable, and it can provide a reliable calculation method for estimating the minimum void ratio in the field of geotechnical engineering.

Key words: minimum void ratio, grain size fraction, fines content, grain size

CLC Number:

TV139

LI Shi-bo, DAI Jun-fang, WU Jiang-wei, XIAO Le-le, . Minimum void ratio distribution and model verification considering influence of grain size fraction[J].Rock and Soil Mechanics, 2022, 43(S2): 193-204.

References

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