Calculations of the Turbulent Wake Behind a Slender Self-Propelled Double-Body and Comparisons with Experiment

Abstract

The parabolic, incompressible, time-averaged Navier-Stokes equations together with a two-equation (K,epsilon) model of turbulence are used to numerically simulate the wake downstream of a slender double-body. The equations are solved using the finite-element method and the results are compared to experimental data for both unpropelled and self-propelled configurations. With the exception of certain localized phenomena, the calculations and experiments are found to be in good agreement for the mean velocity components. the turbulence kinetic energy, and the Reynolds shear stresses. The noteworthy exception for the unpropelled configuration is the prediction of a rather strong region of production of turbulence in the near wake which is not evident in the data. The simulation of the self-propelled wake is in good agreement with the data for the mean velocity components. There is also acceptable agreement for the turbulence parameters over most of the wake cross-section except near the radius of the propeller tips. Severe qualitative and quantitative discrepancies in this region are possibly due to the presence of periodic components in the data. Keywords: Finite-element analysis.

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Document Details

Document Type
Technical Report
Publication Date
Oct 06, 1987
Accession Number
ADA185661

Entities

People

  • Thomas F. Swean Jr.

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Boundary Layer
  • Computational Fluid Dynamics
  • Equations
  • Experimental Data
  • Finite Element Analysis
  • Fluid Dynamics
  • Fluid Mechanics
  • Kinetic Energy
  • Mechanical Engineering
  • Mechanical Properties
  • Mechanics
  • Propellers
  • Self Propelled
  • Shear Stresses
  • Simulations
  • Turbulence
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Aerodynamics.
  • Marine Hydrodynamics
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers