Simulation and Modeling of Effects of Rough Walls on Non-equilibrium Turbulent Boundary Layers

Abstract

The aim of this project is to improve fundamental understanding of non-equilibrium turbulent flows close to rough surfaces, and develop physics-based, data-driven models of these flows, based on single-point turbulence closures. An extensive roughness-resolved, direct-numerical-simulation(DNS) database was established, that contains a wide range of equilibrium and non-equilibrium turbulent flows over rough walls with many different roughness geometries. This database was used to identify the role of roughness and its topography in modifying turbulent statistics and structures in equilibrium flows and non-equilibrium ones, including transient channels and boundary layers with non-zero longitudinal pressure gradients. In particular, results revealed the similarity of the roughness sublayer velocity profile in non-equilibrium flows, and highlighted the importance of form-induced velocities in affecting turbulence evolution in these flows. Based on physics inferred from the database, new representations of roughness in turbulence models were introduced and tested in equilibrium and selected non-equilibrium flows. Compared to existing roughness treatments in RANS closures, the new models offer advantages such as preserving the near-wall stress balance and the potential for describing near-wall flow in strongly adverse-pressure-gradient boundary layers. Frameworks for structure-based modeling of rough-wall flows were explored. By leveraging the extensive DNS database, machine-learning techniques were developed and employed to determine roughness-specific model coefficient values for RANS closures for computing attached boundary-layer flows over surfaces of almost arbitrary roughness.

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Document Details

Document Type
Technical Report
Publication Date
Sep 12, 2022
Accession Number
AD1180839

Entities

People

  • G. J. Brereton
  • Junlin Yuan

Organizations

  • Michigan State University

Tags

Communities of Interest

  • Air Platforms
  • Cyber
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Boundary Layer
  • Boundary Layer Flow
  • Computational Fluid Dynamics
  • Computational Science
  • Data Mining
  • Data Science
  • Databases
  • Differential Equations
  • Flow Visualization
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Geometry
  • Hydrodynamics
  • Information Science
  • Large Eddy Simulation
  • Mechanical Engineering
  • Mechanical Properties
  • Neural Networks
  • Turbulent Flow
  • Turbulent Mixing

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Fluid Mechanics and Fluid Dynamics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference