Soil Particle Modeling and Parameter Calibration for Use with Discrete Element Method

IF 1.4 4区 农林科学 Q3 AGRICULTURAL ENGINEERING
Yukun Yang, Baoqin Wen, Longpeng Ding, Liqiao Li, Xinghua Chen, Jingbin Li
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引用次数: 3

Abstract

HighlightsSoil particle shapes were statistically analyzed, and four representative particles were obtained.A particle model was established using three-dimensional non-contact surface topography.This study used a response surface design method to calibrate significant soil parameters.The simulation parameters were verified by rotary tiller experiment.Abstract. The discrete element method (DEM) has broad prospects for application in soil-tool simulations. To ensure the reliability of simulations, appropriate simulation parameters and particle modeling are essential. Therefore, in this article, a method combining simulation and actual tests is proposed to calibrate the critical soil parameters. First, the effect of soil particle shape on particle contact was considered. Soil particle shapes were statistically analyzed using an improved GrabCut algorithm and k-means algorithm. Four representative soil particles were obtained. Second, a soil particle model was established by microscope and three-dimensional non-contact surface topography. Finally, taking the angle of repose as the response value, the three parameters with significant effects on the angle of repose, i.e., soil shear modulus, Hertz-Mindlin with Johnson-Kendall-Roberts contact model (JKR), and soil-soil restitution coefficient, were obtained via a Plackett-Burman experiment. The optimal value intervals of the significant parameters were determined by the steepest climbing test. A polynomial regression model between the angle of repose and the three significant parameters was established with a Box-Behnken experiment using three factors and three levels. The interactions between the three significant parameters were not significant, as revealed by response surface analysis. The optimal values of the significant parameters were obtained by taking the actual angle of repose as the target and resulted in a soil shear module of 9.8 MPa, JKR of 0.063, and soil-soil restitution coefficient of 0.478. To verify the reliability of the calibrated parameters, the soil angles of repose from the simulation and from actual tests were compared and analyzed. For a simulated angle of repose of 38.5°, the actual angle of repose was 38.6°, and the relative error was 0.26%. DEM was also used to simulate a rotary tiller with the calibrated parameters. The maximum error of the simulated soil throwing angle was less than 10% when compared with the actual throwing angle. The experimental results showed that the calibrated parameters were accurate and can provide a reference for the selection of soil discrete element parameters. Keywords: Angle of repose, Numerical simulation, Parameter calibration, Shape survey, Soil.
离散元法土壤颗粒建模及参数标定
对土壤颗粒形状进行统计分析,得到4个具有代表性的颗粒。采用三维非接触表面形貌法建立颗粒模型。本研究采用响应面设计方法标定重要土壤参数。通过旋耕机试验对仿真参数进行了验证。离散元法(DEM)在土壤工具模拟中具有广阔的应用前景。为了保证仿真的可靠性,适当的仿真参数和粒子建模是必不可少的。因此,本文提出了一种模拟与实际试验相结合的方法来标定土壤的关键参数。首先,考虑了土壤颗粒形状对颗粒接触的影响。采用改进的GrabCut算法和k-means算法对土壤颗粒形状进行统计分析。得到了四种具有代表性的土壤颗粒。其次,利用显微镜和三维非接触表面形貌建立了土壤颗粒模型;最后,以休止角为响应值,通过Plackett-Burman实验得到对休止角有显著影响的三个参数:土体剪切模量、Hertz-Mindlin with Johnson-Kendall-Roberts接触模型(JKR)和土-土恢复系数。通过最陡爬坡试验确定显著性参数的最优取值区间。采用三因素三水平Box-Behnken试验,建立了休止角与3个显著参数之间的多项式回归模型。响应面分析表明,三个显著参数之间的交互作用不显著。以实际休止角为目标,得到各显著参数的最优值,土体剪切模量为9.8 MPa, JKR为0.063,土-土恢复系数为0.478。为了验证标定参数的可靠性,对模拟结果与实际试验结果进行了对比分析。模拟休止角为38.5°,实际休止角为38.6°,相对误差为0.26%。利用DEM对旋耕机进行了数值模拟。模拟土壤抛射角与实际抛射角的最大误差小于10%。实验结果表明,标定参数准确,可为土壤离散元参数的选择提供参考。关键词:休止角;数值模拟;参数标定;
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来源期刊
Transactions of the ASABE
Transactions of the ASABE AGRICULTURAL ENGINEERING-
CiteScore
2.30
自引率
0.00%
发文量
0
审稿时长
6 months
期刊介绍: This peer-reviewed journal publishes research that advances the engineering of agricultural, food, and biological systems. Submissions must include original data, analysis or design, or synthesis of existing information; research information for the improvement of education, design, construction, or manufacturing practice; or significant and convincing evidence that confirms and strengthens the findings of others or that revises ideas or challenges accepted theory.
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