Analysis of the Hessian for Aerodynamic Optimization: Inviscid Flow.

Abstract

In this paper we analyze inviscid aerodynamic shape optimization problems governed by the full potential and the Euler equations in two and three dimensions. The analysis indicates that minimization of pressure dependent cost functions results in Hessians whose eigenvalue distributions are identical for the full potential and the Euler equations. However the optimization problems in two and three dimensions are inherently different. While the two dimensional optimization problems are well-posed the three dimensional ones are ill-posed. Oscillations in the shape up to the smallest scale allowed by the design space can develop in the direction perpendicular to the flow, implying that a regularization is required. A natural choice of such a regularization is derived. The analysis also gives an estimate of the Hessian's condition number which implies that the problems at hand are ill-conditioned. Infinite dimensional approximations for the Hessians are constructed and preconditioners for gradient based methods are derived from these approximate Hessians.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1996
Accession Number
ADA309055

Entities

People

  • Eyal Arian
  • Shlomo Ta'asan

Tags

Communities of Interest

  • Air Platforms
  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Computational Fluid Dynamics
  • Computational Science
  • Coordinate Systems
  • Eigenvalues
  • Equations
  • Equations Of State
  • Euler Equations
  • Far Field
  • Flow
  • Geometry
  • Inviscid Flow
  • Optimization
  • Oscillation
  • Pressure Distribution
  • Three Dimensional
  • Two Dimensional

Readers

  • Fluid Dynamics.
  • Operations Research

Technology Areas

  • Space