Characterization and Low-Dimensional Modeling of Urban Fluid Flow

Abstract

This report describes work studying the structure of a model urban boundary layer flow. The flow around this geometry was studied both experimentally as well as computationally. For the experiment, a Stereoscopic Particle Image Velocimetry (SPIV) method was developed that allows for a three-dimensional description of this urban flow. On the computational side, a new spectral-element code was developed that was demonstrated to produce accurate results, and can scale to thousands of processors on large high-performance computing systems. Wind tunnel experiments were performed at a number of different angles of incidence, providing for the first time a detailed overview of the effect of wind direction on the flow structure. The effects of incidence angles from 0 to 45 degrees of the incoming flow with respect to the urban array were investigated. A strong channeling effect is observed for all incidence angles and is in agreement with that observed in other investigations for as little as 4 degrees. This channeling significantly affects the turbulence distribution within the array, the correlations between the various gust components and the structures responsible for contaminant transport.

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Document Details

Document Type
Technical Report
Publication Date
Oct 06, 2014
Accession Number
AD1013182

Entities

People

  • Bruno Monnier
  • Candace Wark
  • Dietmar Rempfer
  • Sriharsha Kandala

Organizations

  • Illinois Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Aerodynamic Characteristics
  • Boundary Layer
  • Computational Fluid Dynamics
  • Computational Science
  • Flow Visualization
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Hydrodynamics
  • Mechanical Properties
  • Mechanics
  • Physics Laboratories
  • Three Dimensional
  • Turbulence
  • Turbulent Flow
  • Turbulent Mixing
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Fluid Mechanics and Fluid Dynamics.