Stochastic Nonlinear Aeroelasticity

Abstract

This report documents the culmination of in-house work in the area of uncertainty quantification and probabilistic techniques for aeroelasticity. The work was divided into different project areas, including: accurate analysis of limit-cycle oscillations for simple aeroelastic systems with variability; probabilistic prediction of flutter in systems with distributed variability (random fields); optimization of nonlinear dynamic systems (deterministic with intent to transition to risk-quantified optimization), and incorporation of sensitivities into probabilistic analyses. Technology developed in this task is being transitioned in the STOFAM program and extended in the new laboratory task "Risk-Based Computational Prototyping."

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2009
Accession Number
ADA494780

Entities

People

  • Jose Camberos
  • Mohammad Kurdi
  • Ned J. Lindsley
  • Philip S. Beran

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Aeroelasticity
  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Equations
  • Frequency
  • Government Procurement
  • Governments
  • Information Science
  • Micro Air Vehicles
  • Optimization
  • Reliability
  • Sampling
  • Sensitivity
  • Supervised Machine Learning
  • Transitions
  • Uncertainty

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Regression Analysis.
  • Software Engineering