Rock and Soil Mechanics ›› 2021, Vol. 42 ›› Issue (1): 193-202.doi: 10.16285/j.rsm.2020.0664

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Experimental study of permeability properties of graded macadam in heavy haul railway subgrade bed surface layer

YANG Zhi-hao1, 2, YUE Zu-run1, 2, FENG Huai-ping1, 2, YE Chao-liang1, 2, ZHOU Jiang-tao2, JIE Shao-long2   

  1. 1. State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang, Hebei 050043, China; 2. School of Civil Engineering, Shijiazhuang Tiedao University, Shijiazhuang, Hebei 050043, China
  • Received:2020-05-21 Revised:2020-09-22 Online:2021-01-11 Published:2021-01-07
  • Supported by:
    This work was supported by the Natural Science Foundation of Hebei Province (E2019210137) and the Technology Research and Development of China Railway Corporation (2017G008-G, 2017G002-W, 2017G008-A).

Abstract: Rapid and accurate measurement of permeability coefficient for the graded macadam used in heavy-haul railway subgrade bed surface layer is of great significance to guarantee the construction quality and period. First, a large-scale constant-head permeameter suitable for graded macadam was developed based on Darcy’s Law, and a series of penetration tests considering wall effects was carried out using the aforementioned device. These initial tests were conducted to explore the influence degree and properties of pore ratio e, unevenness coefficient Cu, and characteristic particle size parameters on the permeability coefficient K20 of a specimen. Besides, based on the Terzaghi model, an improved calculation model that took into account both pore and gradation characteristic parameters was established with reference to test data, and the accuracy of the model was verified through experiments. The results show that the graded macadam permeability coefficient K20 has a linear relationship with e2 and the square of mean particle size d502, and has a negative exponential relationship with Cu; d50 has the greatest influence weight on K20, followed by Cu, and e has the smallest influence. The proposed calculation model demonstrates a high degree of accuracy and can provide a reference for rapid determination of permeability coefficient for the fillers used in newly heavy haul railway subgrade bed surface layer under construction. Using this calculation model, the permeability stability of operating subgrade beds can be evaluated.

Key words: heavy haul railway subgrade bed, graded macadam, permeability coefficient, characteristic parameters, calculation model

CLC Number: 

  • TU 470
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