A Solution Verification Study For Urans Simulations of Flow Over a 5:1 Rectangular Cylinder Using Grid Convergence Index And Least Squares Procedures

IF 0.5 Q4 ENGINEERING, MECHANICAL Journal of Verification, Validation and Uncertainty Quantification Pub Date : 2023-10-18 DOI:10.1115/1.4063818
TarakN Nandi, DongHun Yeo
{"title":"A Solution Verification Study For Urans Simulations of Flow Over a 5:1 Rectangular Cylinder Using Grid Convergence Index And Least Squares Procedures","authors":"TarakN Nandi, DongHun Yeo","doi":"10.1115/1.4063818","DOIUrl":null,"url":null,"abstract":"Abstract A verification study was conducted on an URANS (Unsteady Reynolds-Averaged Navier-Stoke) simulation of flow around a 5:1 rectangular cylinder at a Reynolds number of 56,700 (based on the cylinder depth) using the k-ω SST (Shear Stress Transport) turbulence model and the γ-Reθ transition model for three types of grids (a fully structured grid and two hybrid grids generated using Delaunay and advancing front techniques). The Grid Convergence Index (GCI) and Least Squares (LS) procedures were employed to estimate discretization error and associated uncertainties. The result indicates that the LS procedure provides the most reliable estimates of discretization error uncertainties for solution variables in the structure grid from the k-ω SST model. From the six solution variables, the highest relative uncertainty was typically observed in the rms of lift coefficient, followed by time-averaged reattachment length and peak of rms of pressure coefficient. The solution variable with the lowest uncertainty was Strouhal number, followed by time-averaged drag coefficient. It is also noted that the GCI and LS procedures produce noticeably different uncertainty estimates, primarily due to inconsistences in their estimated observed orders of accuracy and safety factors. To successfully apply the procedures to practical problems, further research is required to reliably estimate uncertainties in solutions with “noisy” grid convergence behaviors and observed orders of accuracy.","PeriodicalId":52254,"journal":{"name":"Journal of Verification, Validation and Uncertainty Quantification","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Verification, Validation and Uncertainty Quantification","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/1.4063818","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract A verification study was conducted on an URANS (Unsteady Reynolds-Averaged Navier-Stoke) simulation of flow around a 5:1 rectangular cylinder at a Reynolds number of 56,700 (based on the cylinder depth) using the k-ω SST (Shear Stress Transport) turbulence model and the γ-Reθ transition model for three types of grids (a fully structured grid and two hybrid grids generated using Delaunay and advancing front techniques). The Grid Convergence Index (GCI) and Least Squares (LS) procedures were employed to estimate discretization error and associated uncertainties. The result indicates that the LS procedure provides the most reliable estimates of discretization error uncertainties for solution variables in the structure grid from the k-ω SST model. From the six solution variables, the highest relative uncertainty was typically observed in the rms of lift coefficient, followed by time-averaged reattachment length and peak of rms of pressure coefficient. The solution variable with the lowest uncertainty was Strouhal number, followed by time-averaged drag coefficient. It is also noted that the GCI and LS procedures produce noticeably different uncertainty estimates, primarily due to inconsistences in their estimated observed orders of accuracy and safety factors. To successfully apply the procedures to practical problems, further research is required to reliably estimate uncertainties in solutions with “noisy” grid convergence behaviors and observed orders of accuracy.
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
基于网格收敛指数和最小二乘程序的5:1矩形圆柱上气流模拟的解验证研究
摘要采用k-ω剪切应力输移(SST)湍流模型和γ-Reθ转捩模型对三种网格(完全结构网格和采用Delaunay技术和先进前沿技术生成的两种混合网格)进行了雷诺数为56,700(基于柱体深度)的5:1矩形柱体周围流动的URANS(非定常Reynolds-平均Navier-Stoke)模拟。采用网格收敛指数(GCI)和最小二乘(LS)方法估计离散误差和相关不确定性。结果表明,LS方法对k-ω海表温度模型中结构网格解变量的离散化误差不确定性提供了最可靠的估计。在六个解变量中,升力系数的均方根值相对不确定度最高,其次是时间平均再附着长度和压力系数均方根值的峰值。不确定度最低的解变量是斯特罗哈尔数,其次是时间平均阻力系数。还应指出,GCI和LS程序产生明显不同的不确定性估计,主要是由于其估计的观察到的精度和安全系数的顺序不一致。为了成功地将这些方法应用于实际问题,需要进一步研究如何可靠地估计具有“噪声”网格收敛行为和观测精度阶数的解的不确定性。
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
CiteScore
1.60
自引率
16.70%
发文量
12
期刊最新文献
A Curved Surface Integral Method for Reliability Analysis of Multiple Failure Modes System with Non-Overlapping Failure Domains A Framework for Developing Systematic Testbeds for Multi-Fidelity Optimization Techniques Reliability Analysis for RV Reducer by Combining PCE and Saddlepoint Approximation Considering Multi-Failure Modes Machine Learning-Based Resilience Modeling and Assessment of High Consequence Systems Under Uncertainty Posterior Covariance Matrix Approximations
×
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