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

  • University of Zurich
  • Stanford University
  • INRIA Institut National de Recherche en Informatique et en Automatique

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)281-306
Number of pages26
JournalJournal of Computational Physics
Volume299
DOIs
Publication statusPublished - 5 Oct 2015

Keywords

  • Adaptive Semi-Intrusive scheme (aSI)
  • Discrete Equation Method (DEM)
  • Multiresolution (MR)
  • Two-phase compressible flows
  • Uncertainty Quantification (UQ)

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