Stochastic Discrete Equation Method (sDEM) for two-phase flows

Journal Article · Thu Oct 15 00:00:00 EDT 2015 · Journal of Computational Physics

DOI:https://doi.org/10.1016/J.JCP.2015.06.013· OSTI ID:22465670

Abgrall, R., E-mail: [e-mail] ^[1]; Congedo, P.M., E-mail: [e-mail] ^[2]; Geraci, G., E-mail: [e-mail] ^[3]; Rodio, M.G., E-mail: [e-mail] ^[2]

---

1. Institut für Mathematik, Universität Zürich, Winterthurerstrasse 190, CH-8057 Zürich (Switzerland)
2. INRIA Bordeaux-Sud-Ouest, Equipe Cardamom, 200 Avenue de la Vieille Tour, 33405 Talence (France)
3. Flow Physics and Computational Engineering, Stanford University, 488 Escondido Mall, Building 500, Stanford, CA 94305-3035 (United States)

A new scheme for the numerical approximation of a five-equation model taking into account Uncertainty Quantification (UQ) is presented. In particular, the Discrete Equation Method (DEM) for the discretization of the five-equation model is modified for including a formulation based on the adaptive Semi-Intrusive (aSI) scheme, thus yielding a new intrusive scheme (sDEM) for simulating stochastic two-phase flows. Some reference test-cases are performed in order to demonstrate the convergence properties and the efficiency of the overall scheme. The propagation of initial conditions uncertainties is evaluated in terms of mean and variance of several thermodynamic properties of the two phases.

• OSTI ID: 22465670
• Journal Information: Journal of Computational Physics, Vol. 299; Other Information: Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA); ISSN 0021-9991
• Country of Publication: United States
• Language: English

Related Subjects

71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
97 MATHEMATICAL METHODS AND COMPUTING
COMPRESSIBLE FLOW
CONDENSATION PARTICLE COUNTERS
CONVERGENCE
EFFICIENCY
STOCHASTIC PROCESSES
THERMODYNAMIC PROPERTIES
TWO-PHASE FLOW