Gradation Optimization Design of Cement Stabilized Macadam Base by Discrete Element Method
DOI: 10.23977/jceup.2023.050408 | Downloads: 6 | Views: 332
Author(s)
Yuchun Zou 1, Baojin Yu 1, Fuming Liu 2, Xuechao Gan 2
Affiliation(s)
1 Jiangxi Transportation Engineering Group Co., Ltd., Nanchang, 330000, China
2 School of Civil and Architectural Engineering, Nanchang Institute of Technology, Nanchang, 330099, China
Corresponding Author
Yuchun ZouABSTRACT
The meso-structural stability of cement stabilized macadam mixture was evaluated by discrete element method. First, three two-dimensional discrete element models of typical gradation structures were established. A cyclic loading rate of 0.001mm/cyc was applied to the model top using a loading plate of 10cm and 20cm. Analysis was made on the mechanical response characteristics, stress transfer rate and main skeleton distribution rate of the mixture meso-structure, with meso-structure evaluation method proposed. Moreover, through different gradation design methods, meso-structure two-dimensional discrete element models composed of 14 target gradations were established for stability analysis. Finally, through laboratory tests, the feasibility of discrete element method for evaluating the meso-structure stability of cement stabilized macadam was verified. The results showed that the skeleton dense structure had the advantages of meso-structure stability and good resistance to external load and deformation. Through the discrete element method, the target gradation component was evaluated, with gradation group tested in laboratory, finding consistency between the meso-structure and macro characteristic evaluation, so the gradation optimization in this paper was effective.
KEYWORDS
Road engineering, cement stabilized macadam, mix ratio design, gradation optimization, discrete elementCITE THIS PAPER
Yuchun Zou, Baojin Yu, Fuming Liu, Xuechao Gan, Gradation Optimization Design of Cement Stabilized Macadam Base by Discrete Element Method. Journal of Civil Engineering and Urban Planning (2023) Vol. 5: 62-70. DOI: http://dx.doi.org/10.23977/jceup.2023.050408.
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