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Determination of Discrete Element Modelling Parameters of a Paddy Soil with a High Moisture Content (>40%)

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  • Hao Zhou

    (College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471000, China
    Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province, Luoyang 471000, China
    College of Engineering, South China Agricultural University, Guangzhou 510642, China)

  • Tienan Zhou

    (College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471000, China)

  • Xuezhen Wang

    (College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471000, China
    Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province, Luoyang 471000, China)

  • Lian Hu

    (College of Engineering, South China Agricultural University, Guangzhou 510642, China)

  • Shengsheng Wang

    (College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471000, China
    Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province, Luoyang 471000, China)

  • Xiwen Luo

    (College of Engineering, South China Agricultural University, Guangzhou 510642, China)

  • Jiangtao Ji

    (College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471000, China
    Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province, Luoyang 471000, China)

Abstract

Discrete element modelling (DEM) parameters are of great importance for the accurate prediction of soil properties and disturbance. This study aimed to provide an efficient method for accurately determining the DEM parameters of a paddy soil with a high moisture content (45.66%). The DEM parameters of the paddy soil modelled using the Hertz–Mindlin with JKR contact model were determined by using the Plackett–Burman (PB), steepest ascent, and central composite tests. The accuracies of the developed DEM models were evaluated using actual slumping tests. Based on the PB test, the surface energy of soil, coefficients of soil–soil rolling friction, and coefficients of soil–steel static friction exerted larger influences on the overall relative error ( δ ZH ). The optimization results showed that to achieve a minimum δ ZH (5.96%), the surface energy of soil, the coefficients of soil–soil rolling friction, and the coefficients of soil–steel static friction should be 0.808 J m −2 , 0.11, and 0.6, respectively. The optimized DEM model had an overall relative error of 7.27% with a coefficient of variation of 1.32%, indicating that the DEM parameters of the calibrated paddy soil had good accuracy.

Suggested Citation

  • Hao Zhou & Tienan Zhou & Xuezhen Wang & Lian Hu & Shengsheng Wang & Xiwen Luo & Jiangtao Ji, 2022. "Determination of Discrete Element Modelling Parameters of a Paddy Soil with a High Moisture Content (>40%)," Agriculture, MDPI, vol. 12(12), pages 1-9, November.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:12:p:2000-:d:983350
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    References listed on IDEAS

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    1. Agarwal, M. C. & Goel, A. C., 1981. "Effect of field levelling quality on irrigation efficiency and crop yield," Agricultural Water Management, Elsevier, vol. 4(4), pages 457-464, December.
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    Cited by:

    1. Peizhao Zhong & Weiqing Jia & Wenwu Yang & Jianfei He & Erli Zhang & Dongyang Yu & Yuhang Xu & Jianpeng Chen & Feihu Peng & Guoxiang Zeng & Chen Zhang & Shiqi Zeng & Bo Gao & Haihai Pei & Zaiman Wang, 2024. "Calibration and Testing of Parameters for the Discrete Element Simulation of Soil Particles in Paddy Fields," Agriculture, MDPI, vol. 14(1), pages 1-15, January.

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