Calibration of the Edinburgh Elasto-Plastic Adhesion contact model for modelling clay-moist soil with high moisture content

IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Xuan Deng , Wencheng Wu , Jiawei You , Rui Jiang , Mengliang Li , Ju Li , Youfeng Tao , Hong Cheng , Wei Zhou , Fei Deng , Yong Chen , Wanjun Ren , Xiaolong Lei
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Abstract

The discrete element method (DEM) has demonstrated significant advantages in simulating soil-tool interaction and an appropriate contact model notable affected the simulation accuracy. The accuracy of numerical simulation is compromised due to the variations in soil properties when tillage implements are employed in clay-moist soil conditions. This study aims to establish a discrete element model of clay-moist soil based on the Edinburgh Elasto-Plastic Adhesion (EEPA) contact model. Calibration tests using a combination of direct shear tests and cone penetration tests were conducted to identify sensitive parameters that need to be calibrated in the model and analyze the effects of each parameter. The results indicated that contact plasticity ratio and surface energy had significant influence on representing the mechanical properties of clay-moist soil. Then, by utilizing scanning technology to acquire furrow shape data, soil bin test was conducted to validate the reliability of the calibration parameters. Using sensitive parameters as variables, the actual value of clay-moist soil with a moisture content of 33 % as the target value obtained from experimental tests. The optimal combination was: the coefficient of static friction of 0.45, the coefficient of rolling friction of 0.18, and the surface energy of 27.95 J·m−2, the contact plasticity ratio of 0.59. The relative error between the simulated draft force value and the actual measured value was 7.98 %, and the relative errors in the furrow type parameters did not exceed 5 %. The accuracy of the calibration results was verified through comparative analysis of simulation and empirical results. This study provides a scientific approach for employing DEM in modeling clay-moist soil-tool interaction.
校正高含水量粘土-湿土的爱丁堡弹塑性黏附接触模型
离散元法(DEM)在模拟土-工具相互作用方面具有显著的优势,合适的接触模型对模拟精度有重要影响。由于在粘土湿润土壤条件下使用耕作工具时土壤性质的变化,数值模拟的准确性受到损害。基于爱丁堡弹塑性黏附(EEPA)接触模型,建立粘土-湿土的离散元模型。采用直剪试验和锥贯入试验相结合的校准试验,确定了模型中需要校准的敏感参数,并分析了每个参数的影响。结果表明,接触塑性比和表面能对表征粘土湿土的力学特性有显著影响。然后,利用扫描技术获取沟形数据,进行土槽试验,验证标定参数的可靠性。以敏感参数为变量,以含水率为33%的粘土-湿土的实际值为试验试验所得的目标值。最佳组合为:静摩擦系数为0.45,滚动摩擦系数为0.18,表面能为27.95 J·m−2,接触塑性比为0.59。模拟吃水力值与实际测量值的相对误差为7.98%,槽型参数的相对误差不超过5%。通过仿真与实证结果的对比分析,验证了标定结果的准确性。该研究为利用DEM模拟粘土-湿土-工具相互作用提供了科学的方法。
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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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