Optimization of Complex Systems using Imperfect Data from Large-Scale Simulations

Abstract

This report summarizes our efforts to develop an optimization framework that can use imperfect (i.e. inaccurate) data to support the design of complex, high-dimensional aerospace systems. We are primarily interested in the optimization of systems governed by chaotic dynamics, such as gas-turbine combustors and aircraft during stall; however, the framework is also suitable for inaccurate data that may arise during design under uncertainty.

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Document Details

Document Type
Technical Report
Publication Date
Nov 28, 2018
Accession Number
AD1085591

Entities

People

  • Anthony Ashley
  • Jason E. Hicken

Organizations

  • Rensselaer Polytechnic Institute

Tags

Communities of Interest

  • Air Platforms
  • Engineered Resilient Systems
  • Space

DTIC Thesaurus Topics

  • Aerospace Industry
  • Air Force Research Laboratories
  • Algorithms
  • Boundary Layer
  • Boundary Value Problems
  • Complex Systems
  • Computational Fluid Dynamics
  • Computational Science
  • Differential Equations
  • Eigenvalues
  • Equations
  • Euler Equations
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Navier Stokes Equations
  • Optimization

Fields of Study

  • Physics

Readers

  • Aerospace Engineering
  • Distributed Systems and Data Platform Development

Technology Areas

  • Space