Material point method after 25 years: Theory, implementation, and applications

材料点法 离散化 欧拉路径 拉格朗日 趋同(经济学) 网格 连续介质力学 计算机科学 点(几何) 变形(气象学) 算法 数学 机械工程 应用数学 机械 物理 工程类 几何学 数学分析 结构工程 有限元法 经济增长 气象学 经济
作者
Alban de Vaucorbeil,Vinh Phu Nguyen,Sina Sinaie,Jian Wu
出处
期刊:Advances in Applied Mechanics 卷期号:: 185-398 被引量:114
标识
DOI:10.1016/bs.aams.2019.11.001
摘要

It has been 25 years since Sulsky and her coworkers developed the first version of the material point method (MPM): a quasi particle method to solve continuum mechanics problems. In the MPM, the continua are discretized by Lagrangian particles moving over a fixed Eulerian background grid. As a result, large deformation and contact can be treated effortlessly. Since then, many improved instances of the MPM have been developed and the MPM has found applications in many fields from geoengineering to movie industry. As the MPM has now been matured and a large body of literature on it exists, it is a good time to ponder and reflect on the developments of the method to date. To this end, this manuscript provides a concise introduction to the MPM, covering theory, implementation, and applications. All the algorithms required to have a working MPM implementation for the simulations of solids, fluids, and their interactions are provided. We have coded these algorithms in in-house open source programs and used them to study the performance of different MPM variants for large deformation solid mechanics problems. These problems exhibit large plastic deformation, fractures and contacts. Convergence of different MPMs (CPDI, GIMP, B-splines, total Lagrangian MPM, improved MPMs) are studied. Furthermore, MPM formulations for fluids/gases and heat conduction are also covered. Potential areas for improvement on the method have been identified. The paper is the first review of the MPM and presents a state of the art of the current MPM literature covering 339 references.
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
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
悦耳的菠萝完成签到,获得积分10
1秒前
jy发布了新的文献求助10
1秒前
2秒前
2秒前
mfstone发布了新的文献求助10
2秒前
LiLi完成签到,获得积分10
3秒前
仁爱的老四完成签到 ,获得积分10
4秒前
李健的小迷弟应助学术z采纳,获得10
4秒前
科研通AI5应助归海紫翠采纳,获得30
5秒前
热情的初兰完成签到 ,获得积分10
6秒前
顺顺完成签到,获得积分10
6秒前
莫妮卡卡完成签到,获得积分10
6秒前
nbing完成签到,获得积分10
7秒前
SCI发布了新的文献求助50
7秒前
小猫多鱼完成签到,获得积分10
8秒前
8秒前
8秒前
默默尔烟发布了新的文献求助10
8秒前
8秒前
8秒前
宁静致远完成签到,获得积分10
8秒前
天天快乐应助内向秋寒采纳,获得10
11秒前
sfafasfsdf完成签到,获得积分10
11秒前
11秒前
luuuuuu发布了新的文献求助10
12秒前
lai发布了新的文献求助30
12秒前
12秒前
zrk发布了新的文献求助10
12秒前
12秒前
13秒前
ZJJ完成签到,获得积分10
13秒前
花开的声音1217完成签到,获得积分10
14秒前
古药完成签到,获得积分10
15秒前
赘婿应助烟雨行舟采纳,获得10
15秒前
seal发布了新的文献求助10
16秒前
16秒前
17秒前
不吃香菜发布了新的文献求助10
17秒前
RC_Wang应助ZJJ采纳,获得10
17秒前
Chridy发布了新的文献求助10
18秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527849
求助须知:如何正确求助?哪些是违规求助? 3107938
关于积分的说明 9287239
捐赠科研通 2805706
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716893
科研通“疑难数据库(出版商)”最低求助积分说明 709794