Quantifying and Improving Confidence in Model Predictions for Hypersonic Aircraft Structures

Abstract

The current lack of confidence in structural response and life predictions of a vehicle exposed to combined extreme environments for extended durations prevents the USAF from fielding affordable, reliable, and reusable hypersonic platforms. The prohibitive computational cost of high-fidelity, coupled, aerothermoelastic simulation and the inability to fully replicate the high, in-flight, aerodynamic, thermal, and acoustic loads through ground tests poses a significant challenge for assuring the needed confidence in model predictions. The first objective is to enable the quantification uncertainty in coupled multi-physics interactions for fluid-thermal-structural computational models of hypersonic aircraft. The next objective is to propagate and analyze uncertainty for coupled aerothermoelastic predictions to determine the most significant sources of model error. The final objective is to assess prediction confidence for hypersonic aircraft structures, focusing on optimal data collection methods for uncertainty reduction.

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Document Details

Document Type
Technical Report
Publication Date
Feb 28, 2019
Accession Number
AD1086866

Entities

People

  • Benjamin P. Smarslok

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Aircrafts
  • Bayesian Networks
  • Boundary Layer
  • Computational Fluid Dynamics
  • Computational Science
  • Dynamic Response
  • Experimental Design
  • Fluid Dynamics
  • Heat Transfer
  • Hypersonic Aircraft
  • Hypersonic Vehicles
  • Information Science
  • Probabilistic Models
  • Reliability
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Computational Modeling and Simulation

Technology Areas

  • Hypersonics