Wall Modeling Techniques for Large-Eddy Simulation

Abstract

In the LEE of high Reynolds number wall-bounded flows, wall modeling is needed to alleviate the severe near-wall resolution requirement. Simple algebraic models such as the instantaneous log-law are inadequate for predicting complex flows with strong pressure gradients and separation. We have explored two classes of wall models: those based on the turbulent boundary-layer (TBL) equations and those based on control theory. Recent application of the TBL equation model to LEE of the flow over a cylinder at super-critical Reynolds number is discussed. The emphasis of the report is on control based wall modeling, in which sub-optimal control strategy is used to find the wall stresses that will force the outer LEE toward a target profile. Results from channel-flow simulation indicate that in order to obtain the correct mean velocity profile (the log law), the wall stresses must not only model the physics but also compensate for numerical and SGS modeling errors. The data generated by this sub-optimal control strategy are then used to derive a linear stochastic estimate model. The mathematical formulation and issues of key importance in control-based wall modeling are detailed. Efforts towards a predictive and inexpensive wall model in the control framework are detailed.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2002
Accession Number
ADA410335

Entities

People

  • Franck Nicoud
  • Jeffrey Baggett
  • Jeremy Templeton
  • Meng Wang
  • Parviz Moin

Organizations

  • Stanford University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Boundary Layer
  • Channel Flow
  • Computational Fluid Dynamics
  • Computational Science
  • Control Theory
  • Differential Equations
  • Equations
  • Flow
  • Fluid Dynamics
  • Fluid Mechanics
  • Large Eddy Simulation
  • Layers
  • Mechanical Properties
  • Pressure Gradients
  • Reynolds Number
  • Simulations
  • Stratified Fluids

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Fluid Mechanics and Fluid Dynamics.