An efficient method for determining DEM parameters of a loose cohesive soil modelled using hysteretic spring and linear cohesion contact models

休止角 凝聚力(化学) 含水量 岩土工程 土壤水分 水分 土壤科学 土工试验 离散元法 环境科学 材料科学 地质学 复合材料 机械 化学 物理 有机化学
作者
Xuezhen Wang,Qingkai Zhang,Yuxiang Huang,Jiangtao Ji
出处
期刊:Biosystems Engineering [Elsevier]
卷期号:215: 283-294 被引量:32
标识
DOI:10.1016/j.biosystemseng.2022.01.015
摘要

Appropriate discrete element modelling (DEM) parameters are essential for accurate prediction of soil properties and disturbance. This study aims to provide an efficient method for accurately determining DEM parameters of a loose cohesive soil in a range of soil conditions. DEM parameters of the loose cohesive soil modelled using hysteretic spring and linear cohesion contact models were determined by a combination of Plackett–Burman, steepest ascent and central composite tests. The accuracies of DEM models developed under different soil moisture contents (0.27–22%) were evaluated using slumping angle of repose test and funnelling angle of repose test. Heap angles under different soil moisture contents decreased quadratically with time with determination coefficients ranging from 0.750 to 0.969. For the given soil, friction or rolling friction coefficient of soil–soil changed with a cubic function as moisture content increased. Similar coefficients of friction (0.23–0.25) and rolling friction (0.038–0.049) of soil–soil were found for moisture contents from 12 to 22%. Based on ANOVA outputs, soil properties tested were significantly affected by soil moisture content at p < 0.05, including angle of repose (AOR), releasing time, yield strength of soil and coefficients of friction and rolling friction of soil-steel. Low relative errors (<2.8%) were found for simulated AORs using developed soil DEM models under different soil moisture contents. Simulated releasing time agreed well with high-speed video measurements. The suggested method has good potential to accurately determine DEM parameters for loose cohesive soils in a range of conditions.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Cell完成签到 ,获得积分10
刚刚
刚刚
北海西贝完成签到,获得积分10
刚刚
CipherSage应助wxtlzzdp采纳,获得10
刚刚
1秒前
mort发布了新的文献求助10
1秒前
1秒前
慕青应助YRY采纳,获得10
1秒前
勤劳惜天发布了新的文献求助10
1秒前
2秒前
波波应助weibinhu采纳,获得10
2秒前
2秒前
3秒前
科研宝发布了新的文献求助10
5秒前
5秒前
周博雅关注了科研通微信公众号
6秒前
满意的大白菜真实的钥匙完成签到 ,获得积分10
6秒前
研友_VZG7GZ应助开放的寒梅采纳,获得10
6秒前
wings发布了新的文献求助10
6秒前
7秒前
镜花水月发布了新的文献求助10
7秒前
kk关闭了kk文献求助
7秒前
8秒前
ZY发布了新的文献求助10
8秒前
9秒前
量子星尘发布了新的文献求助10
9秒前
9秒前
李开心呀发布了新的文献求助10
9秒前
10秒前
xie完成签到,获得积分10
10秒前
10秒前
Owen应助78888采纳,获得10
11秒前
11秒前
11秒前
Lucas应助wings采纳,获得10
11秒前
ff完成签到 ,获得积分10
12秒前
疯少完成签到,获得积分10
12秒前
12秒前
纯情的天奇完成签到 ,获得积分10
12秒前
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6055565
求助须知:如何正确求助?哪些是违规求助? 7883470
关于积分的说明 16287637
捐赠科研通 5200813
什么是DOI,文献DOI怎么找? 2782822
邀请新用户注册赠送积分活动 1765688
关于科研通互助平台的介绍 1646630