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

Hao Zhou, Tienan Zhou, Xuezhen Wang (), Lian Hu, Shengsheng Wang, Xiwen Luo and Jiangtao Ji
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Hao Zhou: College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471000, 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
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
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

Agriculture, 2022, vol. 12, issue 12, 1-9

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.

Keywords: calibration; paddy field cultivation; soil disturbance behaviors; validation (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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