Nonlinear Optimization in High-Speed Boundary Layers: The Most Unstable Nonlinear disturbances & Robust Flow Design

Abstract

Laminar-to-turbulence transition in high-speed flows is a fundamental scientific problem with significantimplications on drag and heat transfer. Its importance has motivated researchers to investigatethe various pathways whereby the flow can break down to turbulence. These studies invariablystart from the amplification of either one or a weighted superposition of linear instability modes,and proceed to evaluate their growth, interaction and breakdown to turbulence. As a result of thesensitivity of transition to the disturbance environment, changes in the initial perturbation can leadto unpredictable changes in the breakdown mechanism and location. These difficulties exacerbatethe challenge of robust flow design and control. In the present effort, we adopt a different approachto the study of transition, which does not suffer from these difficulties. Instead of starting from linearinstability modes, we evaluate the nonlinearly most dangerous disturbance. This perturbationis the most potent initial disturbance that (i) satisfies the full nonlinear Navier-Stokes equations; (ii)undergoes the fastest energy amplification; (iii) and undergoes the fastest breakdown to turbulence.It provides a minimum bound on transition Reynolds number and, as such, a benchmark for robustflow design. We also perform nonlinear shape optimization for robust designs, with stability guaranteesindependent of the disturbance environment. The theoretical and computational predictionswill be paralleled by an experimental campaign at the U.S. Air Force Academy in order to verifyour theory and demonstrate its applicability in real high-speed flows. The experiments will be performedin the Ludwieg tube test facility, at Mach 6. A novel design of the fast-acting piston valvewill enable us to vary the background noise level and examine the impact on transition location,in both the reference and optimized models, across the operating range of Reynolds numbers. Thecombined theoretical (formulation of the optimization problem), computational (nonlinear simulationsof forward and adjoint equations) and experimental (Ludwieg tube testing) campaign willensure that the proposed activity yields substantive progress in transition research and robust flowdesign.

Document Details

Document Type
DoD Grant Award
Publication Date
May 05, 2017
Source ID
N000141712339

Entities

People

  • Tamer A. Zaki

Organizations

  • Johns Hopkins University
  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Fluid Mechanics and Fluid Dynamics.
  • Neurological Diseases/Conditions/Disorders