An Improved Contact Algorithm for the Material Point Method and Application to Stress Propagation in Granular Material

缩放比例 材料点法 牵引(地质) 算法 接触力学 脉冲(物理) 粒状材料 网格 点(几何) 计算机科学 数学 机械 几何学 机械工程 材料科学 工程类 结构工程 有限元法 经典力学 物理 复合材料
作者
Scott Bardenhagen,James E. Guilkey,Keith M. Roessig,J. U. Brackbill,Wilfried Witzel,Joseph C. Foster
出处
期刊:Cmes-computer Modeling in Engineering & Sciences [Tech Science Press]
卷期号:2 (4): 509-522 被引量:219
标识
DOI:10.3970/cmes.2001.002.509
摘要

Contact between deformable bodies is a dif- cult problem in the analysis of engineering systems. A new approach to contact has been implemented us- ing the Material Point Method for solid mechanics, Bar- denhagen, Brackbill, and Sulsky (2000a). Here two im- provements to the algorithm are described. The rst is to include the normal traction in the contact logic to more appropriately determine the free separation crite- rion. The second is to provide numerical stability by scaling the contact impulse when computational grid in- formation is suspect, a condition which can be expected to occur occasionally as material bodies move through the computational grid. The modications described preserve important properties of the original algorithm, namely conservation of momentum, and the use of global quantities which obviate the need for neighbor searches and result in the computational cost scaling linearly with the number of contacting bodies. The algorithm is demonstrated on several examples. Deformable body so- lutions compare favorably with several problems which, for rigid bodies, have analytical solutions. A much more demanding simulation of stress propagation through ide- alized granular material, for which high delity data has been obtained, is examined in detail. Excellent quali- tative agreement is found for a variety of contact con- ditions. Important material parameters needed for more quantitative comparisons are identied.

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
huoguo完成签到,获得积分10
2秒前
lgf完成签到,获得积分10
3秒前
xiaofan完成签到,获得积分10
4秒前
KX2024完成签到,获得积分10
4秒前
4秒前
dywtdw发布了新的文献求助10
5秒前
西哥完成签到,获得积分10
5秒前
王青文完成签到,获得积分10
6秒前
满意涵梅完成签到 ,获得积分10
7秒前
123456789完成签到 ,获得积分10
7秒前
小王小王完成签到,获得积分10
8秒前
songyl完成签到,获得积分10
13秒前
13秒前
zhangyuting完成签到 ,获得积分10
15秒前
15秒前
开心晓灵关注了科研通微信公众号
18秒前
Brian完成签到,获得积分10
22秒前
coco完成签到,获得积分10
25秒前
Camellia完成签到,获得积分10
26秒前
于你无瓜完成签到 ,获得积分10
26秒前
YUNI完成签到 ,获得积分10
26秒前
蒋鑫淼应助武雨寒采纳,获得10
26秒前
Wesley完成签到,获得积分10
27秒前
少吃一口完成签到,获得积分10
30秒前
微笑语雪完成签到,获得积分10
32秒前
Yurrrrt完成签到,获得积分10
36秒前
Jerry完成签到 ,获得积分10
37秒前
微笑语雪发布了新的文献求助10
40秒前
SerCheung完成签到,获得积分10
40秒前
Linky完成签到 ,获得积分10
41秒前
六月完成签到,获得积分10
41秒前
daqi完成签到,获得积分10
42秒前
43秒前
吴宵完成签到,获得积分0
44秒前
复杂雪一完成签到,获得积分10
45秒前
深藏blue完成签到,获得积分10
46秒前
zh1858f完成签到,获得积分10
47秒前
是个宝耶完成签到 ,获得积分10
47秒前
浅秋发布了新的文献求助10
50秒前
JamesPei应助sofadog采纳,获得10
50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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6359063
求助须知:如何正确求助?哪些是违规求助? 8173036
关于积分的说明 17212284
捐赠科研通 5414057
什么是DOI,文献DOI怎么找? 2865382
邀请新用户注册赠送积分活动 1842737
关于科研通互助平台的介绍 1690901