TY - GEN
T1 - Reduced-order modeling for non-equilibrium air flows
AU - Munafò, Alessandro
AU - Venturi, Simone
AU - Sharma, Maitreyee P.
AU - Panesi, Marco
N1 - Publisher Copyright:
© 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
PY - 2020
Y1 - 2020
N2 - This work deals with the development and application of reduced-order models for nonequilibrium hypersonic air flows. Starting from a State-to-State formulation, the reduction of kinetics mechanism to a more tractable form for Computational-Fluid-Dynamics (CFD) applications is realized by grouping the atom/molecule internal states within bins with prescribed population distributions. The group/bin-averaged kinetic parameters (e.g., rate coefficients) are computed in conjunction with Quasi-Classical-Trajectory (QCT) calculations. This allows for treating diatom-diatom systems (e.g., N2-N2) for which a State-to-State method is simply impractical. The proposed physico-chemical models are first compared against State-to-State formulations in zero and one-dimensional configurations to assess their accuracy, and later applied to realistic multi-dimensional simulations to demonstrate their maturity and predictive capabilities.
AB - This work deals with the development and application of reduced-order models for nonequilibrium hypersonic air flows. Starting from a State-to-State formulation, the reduction of kinetics mechanism to a more tractable form for Computational-Fluid-Dynamics (CFD) applications is realized by grouping the atom/molecule internal states within bins with prescribed population distributions. The group/bin-averaged kinetic parameters (e.g., rate coefficients) are computed in conjunction with Quasi-Classical-Trajectory (QCT) calculations. This allows for treating diatom-diatom systems (e.g., N2-N2) for which a State-to-State method is simply impractical. The proposed physico-chemical models are first compared against State-to-State formulations in zero and one-dimensional configurations to assess their accuracy, and later applied to realistic multi-dimensional simulations to demonstrate their maturity and predictive capabilities.
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U2 - 10.2514/6.2020-1226
DO - 10.2514/6.2020-1226
M3 - Conference contribution
AN - SCOPUS:85091908559
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 -