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Understanding the turbulent flow over rough surfaces with idealized and random roughness elements.

机译:了解具有理想化和随机粗糙度元素的粗糙表面上的湍流。

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摘要

Understanding the physics of turbulent flows over rough surfaces is of significant consequence in natural systems such as coastal and environmental flows, where surface roughness is more of a rule than an exception. In most of these natural systems, e.g. bedforms found on the ocean floor, the roughness elements are mostly random in nature, either in their distribution or geometry. As of now, we do not have an understanding of how the turbulent flow is altered due to the presence of random roughness. The focus of this work is to understand the differences between random and idealized roughness element for three-dimensional roughness geometries specific to bedforms on ocean floors.;A state of the art direct numerical simulation tool developed by Bhaganagar (2008) was used to simulate flow in a channel with wall covered with rough-surfaces. A numerical tool was developed to generate idealized and random rough surfaces. A set of metrics based on both the geometrical and statistical properties of roughness was derived to characterize both ideal and random roughness within the same framework. A parameter study was performed based on a critical parameter, namely, streamwise-spacing of the roughness elements/height of the roughness elements (lambda/h), traditionally used to characterize k- and d- type roughness.;A detailed study of the flow statistics such as mean, root mean square of velocity and vorticity fluctuations, and flow visualizations of 2-D planes was performed. The results have demonstrated (a) for the same (lambda/h ), the flow statistics and coherent structures are significantly different for random and idealized roughnesses, (b) for idealized roughness elements, lambda/h has a critical value of lambda/h around 7, where many flow parameters are maximized or minimized, and (c) for random roughness elements, the results are insensitive to lambda/h and are similar to 2D roughness.
机译:在自然系统中,例如沿海和环境流中,了解粗糙表面上湍流的物理性质具有重要意义,在这些自然系统中,表面粗糙度通常是一个规则,而不是例外。在大多数这些自然系统中,例如在海床发现的床形中,粗糙度元素在分布或几何形状上本质上都是随机的。到目前为止,我们还不了解由于随机粗糙度的存在,湍流如何变化。这项工作的重点是了解海底床形特有的三维粗糙度几何形状的随机粗糙度和理想粗糙度元素之间的差异。;由Bhaganagar(2008)开发的最先进的直接数值模拟工具用于模拟流量在一个通道上,墙壁上覆盖着粗糙的表面。开发了一种数值工具来生成理想化和随机的粗糙表面。得出了基于粗糙度的几何和统计特性的一组度量,以表征同一框架内的理想粗糙度和随机粗糙度。基于关键参数进行了参数研究,即,粗糙度元素的沿流方向间距/粗糙度元素的高度(λ/ h),传统上用于表征k型和d型粗糙度。进行流量统计,例如均值,速度和涡度波动的均方根,以及二维平面的流量可视化。结果表明(a)对于相同(lambda / h),对于随机粗糙度和理想化粗糙度,流统计和相干结构显着不同;(b)对于理想化粗糙度元素,lambda / h的临界值为lambda / h大约7,其中许多流动参数被最大化或最小化,(c)对于随机粗糙度元素,结果对lambda / h不敏感,并且与2D粗糙度相似。

著录项

  • 作者

    Chau, Long Tuan.;

  • 作者单位

    The University of Texas at San Antonio.;

  • 授予单位 The University of Texas at San Antonio.;
  • 学科 Engineering Mechanical.
  • 学位 M.S.
  • 年度 2011
  • 页码 128 p.
  • 总页数 128
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:44:30

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