Toward an uncertain modeling of hypersonic aerodynamic forces

P. Sharma, X. Q. Wang, M. P. Mignolet

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This investigation lies within the focus of aeroelastic analyses of uncertain structures in hypersonic flow conditions. Given the uncertainty, aleatoric or epistemic, on the structure, it is computationally advantageous to reduce the aerodynamic model complexity as long as the induced epistemic uncertainty is “small” enough not to affect the band of predictions of the response. Within this perspective of uncertainty management, it is desirable to have computationally very efficient, physically-based, surrogates of the fluid forces that provide approximate fluid forces with tunable accuracy. Moreover, such surrogates should be stochastic in that the aerodynamic epistemic uncertainty should be included and modeled. The present investigation provides some recent efforts toward the constructions of such stochastic surrogates in which the pressure is expressed as a sum of a local component, modeled with piston theory, and a global one.

Original languageEnglish (US)
Title of host publicationAIAA Scitech 2020 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105951
DOIs
StatePublished - 2020
EventAIAA Scitech Forum, 2020 - Orlando, United States
Duration: Jan 6 2020Jan 10 2020

Publication series

NameAIAA Scitech 2020 Forum
Volume1 PartF

Conference

ConferenceAIAA Scitech Forum, 2020
CountryUnited States
CityOrlando
Period1/6/201/10/20

ASJC Scopus subject areas

  • Aerospace Engineering

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