Reliable and robust thermodynamic model for liquid-vapor mixture
CONGEDO, Pietro Marco
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
RODIO, Maria Giovanna
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
TRYOEN, Julie
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Voir plus >
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
CONGEDO, Pietro Marco
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
RODIO, Maria Giovanna
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
TRYOEN, Julie
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
ABGRALL, Remi
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
< Réduire
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Langue
en
Rapport
Ce document a été publié dans
2013-12-31
Résumé en anglais
Numerical simulation of mass transfer in biphase flows is a fundamental tool in various disciplines. One major issue is related to the thermodynamics of the liquid-vapor mixture. Usually, convex equations of state are used, ...Lire la suite >
Numerical simulation of mass transfer in biphase flows is a fundamental tool in various disciplines. One major issue is related to the thermodynamics of the liquid-vapor mixture. Usually, convex equations of state are used, where a real sound speed can be defined under the saturation curve, such as for exemple the Stiffened Gas (SG) equation. Neverthless, the use of this equation in the gas phase, ban the prediction of real-gas effects, demanding a more complex equation of state, generally non-convex. The aim of this work is to formulate an innovative algorithm for a strong coupling between a SG equation and a whatever more complex equation for the gas phase, using experimental data. The proposed algorithm relies on a bayesian-based method, taking into account model and data uncertainties.< Réduire
Origine
Importé de halUnités de recherche