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Sensitivity Analysis of Partial Differential Equations with Applications to Fluid Flow
Mathematics and Statistics Faculty Research & Creative Works
  • John R. Singler, Missouri University of Science and Technology
Abstract

For over 100 years, researchers have attempted to predict transition to turbulence in fluid flows by analyzing the spectrum of the linearized Navier-Stokes equations. However, for many simple flows, this approach has failed to match experimental results. Recently, new scenarios for transition have been proposed that are based on the non-normality of the linearized operator. These new "mostly linear" theories have increased our understanding of the transition process, but the role of nonlinearity has not been explored. the main goal of this work is to begin to study the role of nonlinearity in transition. We use model problems to illustrate that small unmodeled disturbances can cause transition through movement or bifurcation of equilibria. We also demonstrate that small wall roughness can lead to transition by causing the linearized system to become unstable. Sensitivity methods are used to obtain important information about the disturbed problem and to illustrate that it is possible to have a precursor to predict transition. Finally, we apply linear feedback control to the model problems to illustrate the power of feedback to delay transition and even relaminarize fully developed chaotic flows.

Department(s)
Mathematics and Statistics
Comments

Ph. D. in Mathematics from Virginia Polytechnic Institute

Document Type
Book
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2005 Virginia Polytechnic Institute and State University, All rights reserved.
Publication Date
1-1-2005
Citation Information
John R. Singler. Sensitivity Analysis of Partial Differential Equations with Applications to Fluid Flow. (2005)
Available at: http://works.bepress.com/john-singler/40/