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Numerical simulations of incompressible flows in complex geometries.

机译:复杂几何形状中不可压缩流的数值模拟。

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摘要

A mainly spectral code along with domain-decomposition, a combination that is not widely in use in complex problems, has been developed for the solution of the 3-D unsteady incompressible Navier-Stokes equations. The code uses fully spectral or a combination of spectral-collocation and finite difference approximations and a 3-step splitting time-marching scheme. The developed Poisson solver utilizes matrix diagonalization and incorporates a direct sub-structuring method based on the influence matrix technique. As a first step, laminar and turbulent confined flows were simulated, initially with DNS, then with LES, using a modified Smagorinksi model. The domain-decomposition technique and parallel implementation were tested on the Poisson solver. The study focused on fluid flow phenomena and did not involve chemical reactions. We compared our calculations with numerical experiments performed on turbulent developed channel and pipe flow at Reτ = 180. Annular flow, interesting but less popular, was also simulated. Finally we attempted to approach the problem of pipe flow with sudden expansion (confined jet) at low and moderate Reynolds numbers to investigate the ability of the code to handle complex geometries.
机译:已经开发出主要的频谱码和域分解(在复杂问题中未广泛使用的组合)来求解3-D不稳定的不可压缩Navier-Stokes方程。该代码使用全频谱或频谱搭配和有限差分近似的组合以及三步拆分时间行进方案。研发的泊松求解器利用矩阵对角线化,并结合了基于影响矩阵技术的直接子构造方法。第一步,首先使用改进的Smagorinksi模型模拟DNS和LES,然后模拟层流和湍流受限流。在Poisson求解器上测试了域分解技术和并行实现。该研究集中于流体流动现象,不涉及化学反应。我们将计算结果与在Re τ = 180时湍流展开的通道和管道流量进行的数值实验进行了比较。还模拟了环形流量,虽然有趣,但不那么流行。最后,我们尝试解决在中低雷诺数下突然膨胀(受限射流)的管道流动问题,以研究代码处理复杂几何形状的能力。

著录项

  • 作者

    Vogiatzis, Konstantinos.;

  • 作者单位

    Louisiana State University and Agricultural & Mechanical College.;

  • 授予单位 Louisiana State University and Agricultural & Mechanical College.;
  • 学科 Engineering Mechanical.; Physics Fluid and Plasma.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 133 p.
  • 总页数 133
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业 ; 等离子体物理学 ;
  • 关键词

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