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 BV]
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
浮游应助LaTeXer采纳,获得10
1秒前
超帅凌文完成签到 ,获得积分10
2秒前
123321完成签到 ,获得积分10
2秒前
wql完成签到,获得积分10
3秒前
石乾刚完成签到,获得积分20
3秒前
沝沝完成签到 ,获得积分10
3秒前
小虎完成签到,获得积分10
3秒前
YML发布了新的文献求助10
4秒前
白白关注了科研通微信公众号
5秒前
科研通AI2S应助WXY采纳,获得10
5秒前
Gimmy完成签到 ,获得积分10
5秒前
量子星尘发布了新的文献求助50
6秒前
情怀应助科研通管家采纳,获得10
6秒前
天马心空应助科研通管家采纳,获得10
6秒前
科研通AI5应助科研通管家采纳,获得10
6秒前
星辰大海应助科研通管家采纳,获得10
6秒前
zhonglv7应助科研通管家采纳,获得10
6秒前
Frosch应助科研通管家采纳,获得30
6秒前
果果应助科研通管家采纳,获得10
7秒前
完美世界应助科研通管家采纳,获得10
7秒前
lin应助科研通管家采纳,获得10
7秒前
浮游应助科研通管家采纳,获得10
7秒前
SciGPT应助科研通管家采纳,获得10
7秒前
彭于晏应助科研通管家采纳,获得10
7秒前
李爱国应助科研通管家采纳,获得10
7秒前
丘比特应助科研通管家采纳,获得10
7秒前
我是老大应助科研通管家采纳,获得10
7秒前
ding应助科研通管家采纳,获得10
7秒前
Hello应助科研通管家采纳,获得10
7秒前
7秒前
17完成签到 ,获得积分10
7秒前
爆米花应助科研通管家采纳,获得30
7秒前
浮游应助科研通管家采纳,获得10
7秒前
JamesPei应助科研通管家采纳,获得10
7秒前
lin应助科研通管家采纳,获得20
7秒前
lying应助科研通管家采纳,获得10
7秒前
科研通AI6应助科研通管家采纳,获得10
8秒前
科研通AI6应助科研通管家采纳,获得10
8秒前
星辰大海应助天天开心采纳,获得10
8秒前
深情安青应助科研通管家采纳,获得10
8秒前
高分求助中
Comprehensive Toxicology Fourth Edition 24000
(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
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
World Nuclear Fuel Report: Global Scenarios for Demand and Supply Availability 2025-2040 800
Handbook of Social and Emotional Learning 800
Risankizumab Versus Ustekinumab For Patients with Moderate to Severe Crohn's Disease: Results from the Phase 3B SEQUENCE Study 600
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5140833
求助须知:如何正确求助?哪些是违规求助? 4339316
关于积分的说明 13515046
捐赠科研通 4178957
什么是DOI,文献DOI怎么找? 2291500
邀请新用户注册赠送积分活动 1292177
关于科研通互助平台的介绍 1234559