Parameter Calibration Method for Discrete Element Simulation of Soil–Wheat Crop Residues in Saline–Alkali Coastal Land

Jie Liu, Tong Lu, Shuai Zheng, Yu Tian, Miaomiao Han, Muhao Tai, Xiaoning He, Hongxiu Li, Dongwei Wang () and Zhuang Zhao ()
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Jie Liu: College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
Tong Lu: College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
Shuai Zheng: College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
Yu Tian: Yellow River Delta Intelligent Agricultural Machinery Equipment Industry Academy, Dongying 257300, China
Miaomiao Han: College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
Muhao Tai: College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
Xiaoning He: College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
Hongxiu Li: Shandong Saline-Alkali Land Modern Agriculture Limited Liability Company, Dongying 257300, China
Dongwei Wang: Yellow River Delta Intelligent Agricultural Machinery Equipment Industry Academy, Dongying 257300, China
Zhuang Zhao: College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian 271018, China

Agriculture, 2025, vol. 15, issue 2, 1-22

Abstract: After wheat harvesting in coastal saline–alkali land, when the straw is returned to the field and the soil is rotary tilled, the lack of reliable discrete element simulation parameter models restricts the optimization and improvement of special tillage and land preparation equipment for saline–alkali land to some extent. In this study, the Hertz–Mindlin with JKR model was used to calibrate the discrete element simulation parameters. Taking the soil-wheat crop residue mixture’s angle of repose as the test index, four groups of parameters that significantly affect the angle of repose and their optimal value ranges were screened out through the Plackett–Burman test and the steepest ascent test. Then, the Box–Behnken test was conducted to obtain the quadratic regression model of the significant parameters and the angle of repose, and the optimal values of the significant parameters were obtained. The optimal parameter combination was used for simulation tests, and the relative errors between the measured values and the simulation test values of the angle of repose and the wheat residue coverage rate were 0.74% and 1.34%. The reliable parameters provide a theoretical basis for the optimization and improvement of the equipment for soil preparation in saline–alkali land.

Keywords: saline–alkali land; discrete element method; parameter calibration; angle of repose (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: 2025
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