Collaboration Research: An Optimization Framework based on Domain Decomposition and Model Reduction

Abstract

This collaborative research has developed rigorous mathematical and computational frameworks for ROM generation and the use of ROMs in real-time, design, control, and probabilistic applications of relevance to the Air Force. This research has provided theoretical analyses and numerical studies for several new/extensions of existing ROM approaches, such as a goal-oriented, model-constrained approach, balanced truncation model reduction (BTMR) of descriptor systems, and the integration, of domain decomposition and BTMR for systems with localized nonlinearities. Additionally, several important questions related to the design, analysis, efficient computation, and application of ROM were studied. The use of ROMs was demonstrated on example applications, including optimal flow control of linearized Navier-Stokes equations, linearized flow control of a supersonic diffuser, subsonic compressor blade row unsteady aerodynamics and geometric mistuning, a thermal design problem, and nonlinear combustor model dynamics.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2009
Accession Number
ADA532872

Entities

People

  • Danny C. Sorensen
  • Karen S Wilcox
  • Matthias Heinkenschloss

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Computational Fluid Dynamics
  • Computational Science
  • Computations
  • Decomposition
  • Differential Equations
  • Equations
  • Flow
  • Geometry
  • Hypervelocity Flow
  • Linear Systems
  • Navier Stokes Equations
  • Nonlinear Systems
  • Partial Differential Equations
  • Supersonic Diffusers

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerodynamics.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • Hypersonics