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High-Speed Particle-Laden Flows: Eulerian-Lagrangian Methods, Multi-Scale Modeling and Numerical/Physical Instabilities.

机译:高速粒子流:欧拉方法,多尺度建模和数值/物理不稳定性。

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摘要

High-speed particle-laden flows are studied through a combination of high-order Eulerian Lagrangian (EL) method development, multi-scale modeling and the analysis of normal, shear and wake instabilities. The EL code is based on a Weighted Essentially Non-Oscillatory (WENO) discretization, which captures discontinuities sharply while ensuring higher-order resolution in smoother areas. The favorable characteristics of WENO methods are extended to the EL framework with an Essentially Non-Oscillatory (ENO) scheme to interpolate the carrier phase from the Eulerian grid to the particle location.;A high fidelity multi-scale method is introduced that couples full-resolution micro-scale statistics with the macro-scale. Using a Taylor expansion of the drag correction factor and Reynolds averaging of the particle transport equation, the Subgrid Particle Reynolds Stress Equivalent (SPARSE) model is derived. A mantle is constructed to provide closure for the particle drag and subgrid particle dynamics models. The efficacy of several metamodeling techniques in building a mantle with a target uncertainty using the least number of support points is compared.;Grid aligned shocks at high mach numbers create normal instabilities that bleed into the particle phase. These so-called "carbuncles'' have a predominantly numerical nature and can be mitigated by adjusting the nonlinear WENO power parameters.;Instabilities that are induced by the accelerated flow behind a moving shock in the wake of a cloud of particles are analyzed. The initial shape, orientation and dimensionality of the particle cloud with respect to an oncoming normal shock determines the particle dispersion at later times. Dispersion characteristics are matched with results reported in literature. Streamlined cloud shapes exhibit a lower dispersion as compared to clouds with an initially blunt shape. Lower particle number density areas away from the heavily populated cloud core accelerate more.;Growth rates of shear instabilities computed with the EL code are compared with the results of a linear stability analysis of particle-laden shear layers. The growth rate of shear layers with non-uniformly laden low Stokes number particles is greater than an unladen shear layer whereas a shear layer with high Stokes number particles dampens the growth.
机译:通过结合高阶欧拉拉格朗日(EL)方法开发,多尺度建模以及对法向,剪切和尾流不稳定性的分析,来研究高速含粒子流。 EL代码基于加权基本非振荡(WENO)离散化,可以清晰地捕获不连续性,同时确保在较平滑的区域中具有较高的分辨率。 WENO方法的有利特性通过本质上非振荡(ENO)方案扩展到EL框架,以将载流子相从欧拉网格插入到粒子位置。引入了一种高保真多尺度方法,将全相位耦合分辨率微观尺度与宏观尺度。使用阻力校正因子的泰勒展开和粒子输运方程的雷诺平均,得出亚网格粒子雷诺应力当量(SPARSE)模型。构造了一个罩,以为颗粒阻力和亚网格颗粒动力学模型提供封闭性。比较了几种元建模技术在使用最少数量的支撑点构建具有目标不确定性的地幔中的功效。高马赫数下网格对准的冲击会产生正常的不稳定性,并渗入颗粒相。这些所谓的“ carb”主要是数值性质,可以通过调整非线性WENO功率参数来缓解。;分析了由粒子云引起的运动冲击后的加速流动引起的不稳定性。相对于即将来临的法向冲击,粒子云的初始形状,方向和尺寸决定了粒子在以后的时间分散,分散特性与文献报道的结果相符;流线型的云形与初始钝化的云相比具有较低的分散性;远离人口密集的云芯的较低的颗粒数密度区域;更大的加速度;用EL代码计算的剪切不稳定性的增长速率与含颗粒剪切层的线性稳定性分析的结果进行了比较。非均匀加载的低斯托克斯数粒子的层大于未加载的剪切层,而剪切力具有较高斯托克斯数粒子的r层会抑制生长。

著录项

  • 作者

    Davis, Sean Lin Sheng.;

  • 作者单位

    University of California, San Diego.;

  • 授予单位 University of California, San Diego.;
  • 学科 Aerospace engineering.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 202 p.
  • 总页数 202
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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