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

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...

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Main Authors: Hao Zhou, Tienan Zhou, Xuezhen Wang, Lian Hu, Shengsheng Wang, Xiwen Luo, Jiangtao Ji
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Agriculture
Subjects:
Online Access:https://www.mdpi.com/2077-0472/12/12/2000
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author Hao Zhou
Tienan Zhou
Xuezhen Wang
Lian Hu
Shengsheng Wang
Xiwen Luo
Jiangtao Ji
author_facet Hao Zhou
Tienan Zhou
Xuezhen Wang
Lian Hu
Shengsheng Wang
Xiwen Luo
Jiangtao Ji
author_sort Hao Zhou
collection DOAJ
description 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 (<i>δ<sub>ZH</sub></i>). The optimization results showed that to achieve a minimum <i>δ<sub>ZH</sub></i> (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<sup>−2</sup>, 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.
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spelling doaj.art-ea33426d4ea347188597cbb39561caeb2023-11-24T12:39:36ZengMDPI AGAgriculture2077-04722022-11-011212200010.3390/agriculture12122000Determination of Discrete Element Modelling Parameters of a Paddy Soil with a High Moisture Content (>40%)Hao Zhou0Tienan Zhou1Xuezhen Wang2Lian Hu3Shengsheng Wang4Xiwen Luo5Jiangtao Ji6College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471000, ChinaCollege of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471000, ChinaCollege of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471000, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471000, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471000, ChinaDiscrete 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 (<i>δ<sub>ZH</sub></i>). The optimization results showed that to achieve a minimum <i>δ<sub>ZH</sub></i> (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<sup>−2</sup>, 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.https://www.mdpi.com/2077-0472/12/12/2000calibrationpaddy field cultivationsoil disturbance behaviorsvalidation
spellingShingle Hao Zhou
Tienan Zhou
Xuezhen Wang
Lian Hu
Shengsheng Wang
Xiwen Luo
Jiangtao Ji
Determination of Discrete Element Modelling Parameters of a Paddy Soil with a High Moisture Content (>40%)
Agriculture
calibration
paddy field cultivation
soil disturbance behaviors
validation
title Determination of Discrete Element Modelling Parameters of a Paddy Soil with a High Moisture Content (>40%)
title_full Determination of Discrete Element Modelling Parameters of a Paddy Soil with a High Moisture Content (>40%)
title_fullStr Determination of Discrete Element Modelling Parameters of a Paddy Soil with a High Moisture Content (>40%)
title_full_unstemmed Determination of Discrete Element Modelling Parameters of a Paddy Soil with a High Moisture Content (>40%)
title_short Determination of Discrete Element Modelling Parameters of a Paddy Soil with a High Moisture Content (>40%)
title_sort determination of discrete element modelling parameters of a paddy soil with a high moisture content 40
topic calibration
paddy field cultivation
soil disturbance behaviors
validation
url https://www.mdpi.com/2077-0472/12/12/2000
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