TY - GEN
T1 - Toward an uncertain modeling of hypersonic aerodynamic forces
AU - Sharma, P.
AU - Wang, X. Q.
AU - Mignolet, M. P.
N1 - Funding Information:
The authors gratefully acknowledge the financial support of this work by the contract FA9550-16-1-0021 from the Air Force Office of Scientific Research with Dr. Jaimie Tiley as program manager. The authors are greatly appreciative of Prof. J.J. McNamara and his group for sharing the CFD data.
Publisher Copyright:
© 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
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U2 - 10.2514/6.2020-1878
DO - 10.2514/6.2020-1878
M3 - Conference contribution
AN - SCOPUS:85092357857
SN - 9781624105951
T3 - AIAA Scitech 2020 Forum
BT - AIAA Scitech 2020 Forum
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA Scitech Forum, 2020
Y2 - 6 January 2020 through 10 January 2020
ER -