Uncertainty Quantification in Aeroelasticity

• Philip Beran ^[1] ; Bret Stanford ^[2] ; Christopher Schrock ^[1]
  1. [1] Wright-Patterson Air Force Base

     Wright-Patterson Air Force Base

     Township of Bath, Estados Unidos

     
  2. [2] Langley Research Center

     Langley Research Center

     Estados Unidos

     
• Localización: Annual review of fluid mechanics, ISSN 0066-4189, Nº. 49, 2017, págs. 361-386
• Idioma: inglés
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• Resumen

  • Physical interactions between a fluid and structure, potentially manifested as self-sustained or divergent oscillations, can be sensitive to many parameters whose values are uncertain. Of interest here are aircraft aeroelastic interactions, which must be accounted for in aircraft certification and design. Deterministic prediction of these aeroelastic behaviors can be difficult owing to physical and computational complexity. New challenges are introduced when physical parameters and elements of the modeling process are uncertain. By viewing aeroelasticity through a nondeterministic prism, where key quantities are assumed stochastic, one may gain insights into how to reduce system uncertainty, increase system robustness, and maintain aeroelastic safety. This article reviews uncertainty quantification in aeroelasticity using traditional analytical techniques not reliant on computational fluid dynamics; compares and contrasts this work with emerging methods based on computational fluid dynamics, which target richer physics; and reviews the state of the art in aeroelastic optimization under uncertainty. Barriers to continued progress, for example, the so-called curse of dimensionality, are discussed.