Discrete Element Modeling of a Projectile Impacting and Penetrating into Granular Systems

Q4 Engineering 弹道学报 Pub Date : 2018-11-05 DOI:10.5772/INTECHOPEN.75550
W. Alshanti
{"title":"Discrete Element Modeling of a Projectile Impacting and Penetrating into Granular Systems","authors":"W. Alshanti","doi":"10.5772/INTECHOPEN.75550","DOIUrl":null,"url":null,"abstract":"From theoretical standpoint, it is difficult to analytically build a general theory and physical principles that critically describe the mechanical behaviour of granular systems. There are many substantial gaps in understanding the mechanical principles that govern these particulate systems. In this chapter, based on a two-dimensional soft particle discrete element method (DEM), a numerical approach is developed to investigate the vertical penetration of a non-rotating and rotating projectile into a granular system. The model outcomes reveal that there is a linear proportion between the projectile ’ s impact velocity and its penetration downward displacement. Moreover, depending on the rotation direc- tion, there is a significant deviation of the x -coordinate of the final stopping point of a rotating projectile from that of its original impact point. For negative angular velocities, a deviation to the right occurs while a left deviation has been recorded for positive angular velocities. to","PeriodicalId":35288,"journal":{"name":"弹道学报","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"弹道学报","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.5772/INTECHOPEN.75550","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

From theoretical standpoint, it is difficult to analytically build a general theory and physical principles that critically describe the mechanical behaviour of granular systems. There are many substantial gaps in understanding the mechanical principles that govern these particulate systems. In this chapter, based on a two-dimensional soft particle discrete element method (DEM), a numerical approach is developed to investigate the vertical penetration of a non-rotating and rotating projectile into a granular system. The model outcomes reveal that there is a linear proportion between the projectile ’ s impact velocity and its penetration downward displacement. Moreover, depending on the rotation direc- tion, there is a significant deviation of the x -coordinate of the final stopping point of a rotating projectile from that of its original impact point. For negative angular velocities, a deviation to the right occurs while a left deviation has been recorded for positive angular velocities. to
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
弹丸撞击和穿透颗粒系统的离散元建模
从理论的角度来看,很难分析地建立一个一般的理论和物理原理,批判地描述颗粒系统的力学行为。在理解控制这些微粒系统的机械原理方面有许多实质性的空白。在本章中,基于二维软颗粒离散元法(DEM),建立了一种数值方法来研究非旋转和旋转弹丸对颗粒系统的垂直侵彻。模型结果表明,弹丸的冲击速度与侵彻向下位移成线性关系。此外,随着旋转方向的不同,旋转弹丸的最终停止点的x坐标与初始撞击点的x坐标存在较大的偏差。对于负角速度,发生向右的偏差,而对于正角速度则记录了向左的偏差。来
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
弹道学报
弹道学报 Engineering-Mechanical Engineering
CiteScore
0.90
自引率
0.00%
发文量
2632
期刊介绍:
期刊最新文献
Facility Performance Evaluation at Fish Landing Port (PPI) Binuangeun Banten, Indonesia: What strategies can be applied? Investigating the use of Deep Learning, in Materials Research for Predicting Material Properties, Identifying new Materials, and Optimizing Material Selection for Mechanical Components Investigating the Creation of AI-Driven Solutions for Risk Assessment, Continuous Improvement, and Supplier Performance Monitoring Mapping the Evolving Landscape of Cloud Computing Research: A Bibliometric Analysis Predictive Maintenance in IoT Devices using Time Series Analysis and Deep Learning
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1