Subsurface Signature of the Internal Wave Field Radiation by Submerged High Reynolds Number Stratified Wakes

Abstract

The research supported by ONR grant number N00014-08-1-0235 was conducted in two phases, as indicated above. The primary objectives of each phase are listed below. STAGE-1, "Internal Waves Generated by High Reynolds Number Stratified Wakes": Characterize the internal wave field emitted by a stratified turbulent wake during the Non- Equilibrium (NEQ) regime and the particular modifications associated with high Reynolds numbers and the secondary instabilities therein. Determine the remote signature of the wake-radiated waves, as modeled by a 2-D internal wave beam, by examining their interactions with variations in the background stratification profile. STAGE-2, "Subsurface Signature of the Internal Wave Field Radiated by Submerged High Reynolds Number Stratified Wakes": Characterize the low-wind-condition subsurface signature of a single high-frequency internal wave beam(s) in a uniform or vertically variable stratification, the latter typical of littoral ocean conditions. Correlate qualitatively and quantitatively, over a range of Reynolds and Froude numbers, the patterns of subsurface motion observed above a stratified turbulent wake with the flow patterns inside the wake core to infer the state ("age") of wake turbulence.

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Document Details

Document Type
Technical Report
Publication Date
May 26, 2014
Accession Number
ADA626778

Entities

People

  • Peter J Diamessis

Organizations

  • Cornell University School of Civil and Environmental Engineering

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Buoyancy
  • Department Of Defense
  • Engineering
  • Flow Fields
  • Fluid Mechanics
  • Frequency
  • Froude Number
  • Gravity Waves
  • Internal Waves
  • Physics Laboratories
  • Reynolds Number
  • Simulations
  • Stratified Fluids
  • Turbulence
  • Turbulent Mixing
  • Two Dimensional
  • Wave Packets

Fields of Study

  • Physics

Readers

  • Acoustical Oceanography.
  • Fluid Dynamics.

Technology Areas

  • AI & ML