Quantifying Confidence in Model Predictions for Hypersonic Aircraft Structures

Abstract

Lack of confidence in structural response and life predictions of a vehicle exposed to combined extreme environments has consistently prevented the USAF from fielding affordable, reliable, and reusable hypersonic space access platforms. Significant strides have been made in modeling complex interactions of the multi-physics, fluid-thermal-structural coupling applicable to hypersonic flow conditions. However, validation of these models remains a challenge due to limited experimental data for hypersonic conditions. This research addresses fundamental and critical issues in quantifying uncertainty and assessing the confidence in model predictions of hypersonic structural response through a systematic framework.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2015
Accession Number
ADA615850

Entities

People

  • Benjamin P. Smarslok

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Bayesian Networks
  • Boundary Layer
  • Computational Fluid Dynamics
  • Computational Science
  • Data Mining
  • Data Science
  • Fluid Dynamics
  • Information Processing
  • Information Science
  • Knowledge Management
  • Monte Carlo Method
  • Probabilistic Models
  • Statistical Algorithms
  • Supervised Machine Learning
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Computational Modeling and Simulation
  • Missile Defense Systems.

Technology Areas

  • Hypersonics
  • Space