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A new forward-backward sweeping parabolized Navier-Stokes algorithm with application to magnetohydrodynamic flows.

机译:一种新的前向后扫掠抛物面Navier-Stokes算法及其在磁流体动力流中的应用。

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摘要

A new forward-backward sweeping parabolized Navier-Stokes algorithm has been developed to efficiently compute supersonic/hypersonic flowfields with embedded separated regions. The algorithm splits the streamwise flux vector using the Steger-Warming method and employs multiple forward/backward sweeps of the flowfield in order to duplicate the results that would be obtained with the complete Navier-Stokes equations. The forward/backward sweeping of the flowfield significantly reduces the number of iterations required over previous iterative parabolized Navier-Stokes algorithms. Once a separated flow region is computed, the algorithm returns to the usual forward-space-marching mode until the next separated flow region is encountered. The new algorithm has been applied to three separated flow test cases consisting of flow over a compression ramp and two flows over a hollow-cylinder-flare geometry. The present numerical results are in excellent agreement with complete Navier-Stokes computations and experimental data. In addition, the new algorithm has been extended to efficiently compute magnetohydrodynamic (NM) flows in the low magnetic Reynolds number regime. In this regime, the electrical conductivity is low and the induced magnetic field is negligible compared to the applied magnetic field. This allows the MHD effects to be modeled by introducing source terms into the governing equations. Turbulence has been included by modifying the Baldwin-Lomax turbulence model to account for MHD effects. The new algorithm with MHD effects included has been used to compute both laminar and turbulent, supersonic, MHD flows over flat plates, and 3-D supersonic viscous flows in an experimental MHD channel. The new algorithms have been successfully incorporated into NASA's parabolized Navier-Stokes (UPS) code.
机译:已经开发了一种新的向前-向后扫掠抛物线Navier-Stokes算法,以有效地计算具有嵌入的分离区域的超音速/超人流场。该算法使用Steger-Warming方法拆分了沿流方向的通量矢量,并采用了流场的多次前/后扫描,以便复制将通过完整的Navier-Stokes方程获得的结果。与以前的迭代抛物线化的Navier-Stokes算法相比,流场的前/后扫掠显着减少了所需的迭代次数。一旦计算出分离的流动区域,该算法将返回通常的前向空间行进模式,直到遇到下一个分离的流动区域。新算法已应用于三个单独的流量测试案例,包括压缩坡道上的流量和空心圆柱扩口几何形状上的两个流量。目前的数值结果与完整的Navier-Stokes计算和实验数据非常吻合。此外,新算法已得到扩展,可以有效地计算低磁雷诺数状态下的磁流体动力学(NM)流量。在这种情况下,电导率低,与施加的磁场相比,感应磁场可以忽略不计。这样可以通过将源项引入控制方程来对MHD效果进行建模。通过修改Baldwin-Lomax湍流模型来考虑MHD效应,从而包括了湍流。包含MHD效果的新算法已被用于计算实验MHD通道中的层流和湍流,超音速,MHD在平板上的流动以及3-D超音速粘性流。新算法已成功纳入NASA的抛物线式Navier-Stokes(UPS)代码中。

著录项

  • 作者

    Kato, Hiromasa.;

  • 作者单位

    Iowa State University.;

  • 授予单位 Iowa State University.;
  • 学科 Engineering Aerospace.; Physics Electricity and Magnetism.; Physics Fluid and Plasma.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 p.301
  • 总页数 82
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 航空、航天技术的研究与探索;
  • 关键词

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