Numerical Upscaling of Flow and Transport Through Obstructed Regions over a Broad Range of Reynolds Numbers (3.4.1.2)

Abstract

Flows through networks of solid objects are ubiquitous in natural and engineered systems. Some common examples include flows through(i) vegetated areas in coastal wetlands, (ii) urban environments, (iii) biofilm reactors and (iv) natural and manufactured porous media. These all share common features and can range from slow laminar flows to fast highly turbulent flows. Understanding mean and turbulent flow structure and the detailed role of the presence of solids in the flow path in terms of flow resistance and streamline structure can be critical if one wants to understand transport processes within these flows. The primary goal of this project is to advance computational methods and predictive capabilities of flow and transport over a diverse range of obstructed flow conditions. To this end we are developing a suite of numerical tools for modeling flow and transport at the micro-scale, which resolves fluid and solid to produce up scaled models and parameterizations for flow and transport at the macroscale, where the influence of the solids is effectively modeled, but not resolved. These models will reproduce complex anomalous behaviors associated with flow and transport inherent to these flows.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 27, 2016
Accession Number
AD1063350

Entities

People

  • Clint Dawson
  • Diogo Bolster
  • Steve Mattis

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Applied Mathematics
  • Chemical Reactions
  • Computational Fluid Dynamics
  • Computational Science
  • Engineering
  • Equations
  • Fluid Dynamics
  • Fluid Flow
  • Geometry
  • Incompressible Flow
  • Markov Models
  • Random Walk
  • Reynolds Number
  • Simulations
  • Students
  • Turbulent Flow
  • Water Resources

Fields of Study

  • Environmental science

Readers

  • Computational Fluid Dynamics (CFD)
  • Fluid Mechanics and Fluid Dynamics.
  • Systems Analysis and Design

Technology Areas

  • Biotechnology
  • Biotechnology - Bioremediation