Calibration of Discrete Element Simulation Parameters and Model Construction for the Interaction Between Coastal Saline Alkali Soil and Soil-Engaging Components

Nan Xu, Zhenbo Xin, Jin Yuan, Zenghui Gao, Yu Tian, Chao Xia, Xuemei Liu () and Dongwei Wang ()
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Nan Xu: College of Mechanical & Electronic Engineering, Shandong Agricultural University, Tai’an 271018, China
Zhenbo Xin: College of Mechanical & Electronic Engineering, Shandong Agricultural University, Tai’an 271018, China
Jin Yuan: College of Mechanical & Electronic Engineering, Shandong Agricultural University, Tai’an 271018, China
Zenghui Gao: College of Mechanical & Electronical Engineering, Qingdao Agricultural University, Qingdao 266109, China
Yu Tian: Yellow River Delta Intelligent Agricultural Machinery and Equipment Industry Research Academy, Dongying 257000, China
Chao Xia: College of Mechanical & Electronical Engineering, Qingdao Agricultural University, Qingdao 266109, China
Xuemei Liu: College of Mechanical & Electronic Engineering, Shandong Agricultural University, Tai’an 271018, China
Dongwei Wang: College of Mechanical & Electronical Engineering, Qingdao Agricultural University, Qingdao 266109, China

Agriculture, 2024, vol. 15, issue 1, 1-30

Abstract: There are approximately 36.7 million hectares of saline alkali land available in China. To enhance the comprehensive utilization value of coastal saline alkali land and boost crop yields in such areas, it is essential to conduct research on optimizing the operational performance of high-performance soil contact components in light of the soil characteristics of coastal saline alkali land. Discrete element simulation can be employed to investigate the operational mechanisms of various key components. Nevertheless, at present, there is a dearth of discrete element models for the key physical parameters and soil structure of coastal saline alkali land soil. In this article, typical coastal saline alkali field soil was sampled, and the physical properties of the saline alkali soil, including salt content, moisture content, particle size distribution, and particle size, as well as intrinsic parameters such as soil compaction, density, Poisson’s ratio, and shear modulus, were measured. The Hertz Mindlin with Bonding contact model was employed. Physical experiments on soil accumulation angles at different depths were carried out using the cylindrical lifting method. Subsequently, by means of the discrete element method and the BBD experimental design method, a response surface model was established, and an optimization analysis was performed on the optimal parameters for the soil–soil collision recovery coefficient, static friction coefficient, and dynamic friction coefficient at each depth. Test benches for measuring the collision recovery coefficient, static friction coefficient, and rolling friction coefficient of saline alkali soil at -65Mn were set up, calculation formulas for each parameter were derived, and the contact parameters between soil at different depths and 65Mn were obtained. The results of the sliding friction angle test on different depths of saline alkali soil at -65Mn were further verified using the discrete element method, with a maximum error of 3.11%, which falls within the allowable range. This suggests that the calibration results of the discrete element simulation parameters for the interaction between soil and contact components are reliable, providing data and model support for future research on enhancing the operational performance of high-performance contact components.

Keywords: saline alkaline land; soil structure; discrete element method; contact model (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: 2024
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