Random Walk Particle Tracking to Model Dispersion in Steady Laminar and Turbulent Pipe Flow.

Feng Shang, Jonathan B Burkhardt, Regan Murray
{"title":"Random Walk Particle Tracking to Model Dispersion in Steady Laminar and Turbulent Pipe Flow.","authors":"Feng Shang, Jonathan B Burkhardt, Regan Murray","doi":"10.1061/jhend8.hyeng-13405","DOIUrl":null,"url":null,"abstract":"<p><p>To accurately model a two-dimensional solute transport in drinking water pipes and determine the effective dispersion coefficients for one-dimensional water quality models of water distribution systems, a random walk particle tracking approach was developed to analyze the advection and dispersion processes in circular pipes. The approach considers a solute particle's two-dimensional random movement caused by molecular or turbulent diffusion and associated velocity profile, and can simulate any mixing time and accurately model the longitudinal distribution of the solute concentration. For long mixing times, the simulation results agreed with a previous analytically derived solution. For turbulent flow conditions, simulations showed that the longitudinal dispersion of the solute is very sensitive to the utilized cross-sectional velocity profiles. This approach is easy to implement programmatically and unconditionally stable. It can predict the mixing characteristics of a pipe under various initial and boundary conditions.</p>","PeriodicalId":73783,"journal":{"name":"Journal of hydraulic engineering (New York, N.Y.)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10324621/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of hydraulic engineering (New York, N.Y.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1061/jhend8.hyeng-13405","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

To accurately model a two-dimensional solute transport in drinking water pipes and determine the effective dispersion coefficients for one-dimensional water quality models of water distribution systems, a random walk particle tracking approach was developed to analyze the advection and dispersion processes in circular pipes. The approach considers a solute particle's two-dimensional random movement caused by molecular or turbulent diffusion and associated velocity profile, and can simulate any mixing time and accurately model the longitudinal distribution of the solute concentration. For long mixing times, the simulation results agreed with a previous analytically derived solution. For turbulent flow conditions, simulations showed that the longitudinal dispersion of the solute is very sensitive to the utilized cross-sectional velocity profiles. This approach is easy to implement programmatically and unconditionally stable. It can predict the mixing characteristics of a pipe under various initial and boundary conditions.

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
用随机漫步粒子跟踪法模拟稳定层流和湍流管道流中的弥散。
为了准确模拟饮用水管道中溶质的二维迁移,并确定配水系统一维水质模型的有效分散系数,研究人员开发了一种随机漫步粒子跟踪方法,用于分析圆形管道中的平流和分散过程。该方法考虑了由分子或湍流扩散引起的溶质粒子的二维随机运动以及相关的速度曲线,可以模拟任何混合时间,并准确模拟溶质浓度的纵向分布。在混合时间较长的情况下,模拟结果与之前的分析求解结果一致。对于湍流条件,模拟结果表明,溶质的纵向分散对所利用的横截面速度剖面非常敏感。这种方法易于编程实现,且无条件稳定。它可以预测各种初始条件和边界条件下管道的混合特性。
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
自引率
0.00%
发文量
0
期刊最新文献
Random Walk Particle Tracking to Model Dispersion in Steady Laminar and Turbulent Pipe Flow.
×
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