Probabilistic Methods for the Quantification of Uncertainty and Error in Computational Fluid Dynamic Simulations

Abstract

The life of engine components is determined by a combination of the material properties and the applied stresses and temperatures. As a consequence of variability in these parameters, the component life is not fixed (deterministic) but stochastic (random) and may be characterized by a probability density function (PDF). In order to reduce the cost of ownership of ADF aircraft these PDFs need to be determined as accurately as possible. Probabilistic techniques offer significant potential for accurate and realistic estimates of component lives by quantifying stochastic elements of an analysis rather than introducing excessive conservatism to allow for them. This report examines the feasibility of using a probabilistic approach for modelling the component temperatures in an engine using CFD (Computational Fluid Dynamics).

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2004
Accession Number
ADA429143

Entities

People

  • John Faragher

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Boundary Layer
  • Computational Fluid Dynamics
  • Computational Science
  • Computer Programming
  • Computers
  • Differential Equations
  • Fluid Dynamics
  • Fluid Flow
  • Fuzzy Logic
  • Information Science
  • Mathematical Models
  • Mechanical Properties
  • Monte Carlo Method
  • Partial Differential Equations
  • Turbines
  • Turbulent Mixing

Readers

  • Computational Fluid Dynamics (CFD)
  • Computational Modeling and Simulation
  • Structural Health Monitoring of Composite Structures.