High-Accurate, Physics-Based Wake Simulation Techniques

Abstract

A code was developed that utilizes the discontinuous Galerkin method to solve the Euler equations while utilizing a modal artificial viscosity sensor developed by Klockner to accurately and efficiently model the wake of an aircraft or rotor craft. The sensor was augmented for the purpose of this research so that it could be run more quickly as well as having a more robust adaptation to different problems and specifically for this research the vortex burst problem. For the wake it focuses on validation for modeling the vortex bursting element. Two changes were made to the sensor to both increase the speed of the sensor's application as well as make the sensor more robust. The sensor was made more robust by allowing for the sensor to sense on more variables by changing the baseline decays additive factor. In this case the change made allowed for sensing on velocity terms where the velocity may not always have a value greater than zero. To increase the speed the transition from a nodal system to a modal system was augmented so that the op count could be reduced. These changes were tested against two standard problems and then applied to the vortex bursting problem.

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Document Details

Document Type
Technical Report
Publication Date
Jan 27, 2015
Accession Number
ADA618194

Entities

People

  • Andrew Shelton
  • Robert Watson Iii

Organizations

  • Auburn University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Computational Fluid Dynamics
  • Computational Science
  • Differential Equations
  • Equations
  • Euler Equations
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Kinetic Energy
  • Mach Number
  • Mechanical Properties
  • Modal Analysis
  • Parallel Computing
  • Parallel Processing
  • Three Dimensional
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Fluid Mechanics and Fluid Dynamics.