Computational Study of Chaotic and Ordered Solutions of the Kuramoto-Sivashinsky Equation.

Abstract

We report the results of extensive numerical experiments on the Kuramoto Sivashinsky equation in the strongly chaotic regime as the viscosity parameter is decreased and increasingly more linearly unstable modes enter the dynamics. General initial conditions are used and evolving states do not assume odd parity. A large number of numerical experiments are employed in order to obtain quantitative characteristics of the dynamics. We report on different routes to chaos and provide numerical evidence and construction of strange attractors with self similar characteristics. As the 'viscosity' parameter decreases the dynamics becomes increasingly more complicated and chaotic. In particular it is found that regular behavior in the form of steady state or steady state traveling waves is supported amidst the time dependent and irregular motions. We show that multimodal steady states emerge and are supported on decreasing windows in parameter space. In addition we invoke a self-similarity property of the equation, to show that these profiles are obtainable from global fixed point attractors of the Kuramote Sivashinsky equation at much larger values of the viscosity.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1996
Accession Number
ADA306758

Entities

People

  • Demetrios T. Papageorgiou
  • Yiorgos S. Smyrlis

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Computational Fluid Dynamics
  • Computations
  • Construction
  • Data Analysis
  • Dynamics
  • Energy Transfer
  • Equations
  • Fluid Dynamics
  • Fluid Flow
  • Frequency
  • Mathematics
  • Physics
  • Steady State
  • Traveling Waves
  • Viscosity
  • Waves

Fields of Study

  • Mathematics

Readers

  • Control Systems Engineering.
  • Graph Algorithms and Convex Optimization.
  • Wave Propagation and Nonlinear Chaotic Dynamics.

Technology Areas

  • Space