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Large eddy simulation of stenotic flows: Evaluation of sub-grid scale models and numerical methods.

机译:狭窄流动的大涡模拟:亚网格比例模型和数值方法的评估。

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摘要

Large eddy simulations (LES) have been performed for 75 % stenosed, eccentric arterial models under steady inlet conditions. A code employing high-order numerical methods for spatial and temporal terms, along with a 2nd order accurate, direct-forcing immersed boundary method for enforcing boundary conditions on curved geometries has been used for simulations. Three sub-grid scale models that have been evaluated are the traditional Smagorinsky model, and recently developed Vreman model and Sigma model. To ascertain the effect of high-order discretization schemes on overall accuracy of the solution, the three sub-grid scale models were also evaluated using OpenFOAM, which is an open-source, finite-volume based solver having a low-order numerical framework. Both mean flow predictions and turbulent statistics in comparison with Direct Numerical Simulation (DNS) data clearly indicate that high-order methods used in conjunction with immersed boundary method can accurately model stenotic flows. Specifically, at Reynolds number of 1000, Vreman and Sigma models predict an early transition to turbulence, in contrast to constant coefficient Smagorinsky Model, which gives the best agreement with DNS data despite having known limitations.
机译:在稳定的进气口条件下,对75%狭窄的偏心动脉模型进行了大涡模拟(LES)。模拟中使用了对空间和时间项采用高阶数值方法的代码,以及用于对弯曲几何体执行边界条件的2 精确,直接强制沉浸边界方法。已评估的三个子网格规模模型是传统的Smagorinsky模型,以及最近开发的Vreman模型和Sigma模型。为了确定高阶离散化方案对解决方案整体准确性的影响,还使用OpenFOAM(这是一个基于开源,有限体积的具有低阶数值框架的求解器)对三个子网格比例模型进行了评估。与直接数值模拟(DNS)数据相比,平均流量预测和湍流统计都清楚地表明,与沉浸边界方法结合使用的高阶方法可以准确地对狭窄流进行建模。具体来说,与恒定系数Smagorinsky模型相反,在雷诺数为1000时,Vreman和Sigma模型预测到湍流的早期过渡,尽管已知的局限性,Smagorinsky模型与DNS数据的一致性最佳。

著录项

  • 作者

    Pal, Abhro.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Engineering Mechanical.
  • 学位 M.S.M.E.
  • 年度 2012
  • 页码 64 p.
  • 总页数 64
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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