S
Sonja Schmelter
Researcher at German National Metrology Institute
Publications - 20
Citations - 90
Sonja Schmelter is an academic researcher from German National Metrology Institute. The author has contributed to research in topics: Slug flow & Multiphase flow. The author has an hindex of 4, co-authored 12 publications receiving 57 citations.
Papers
More filters
Journal ArticleDOI
Simulation-based determination of systematic errors of flow meters due to uncertain inflow conditions
Andreas Weissenbrunner,André Fiebach,Sonja Schmelter,Markus Bär,Paul Uwe Thamsen,Thomas Lederer +5 more
TL;DR: In this paper, a generalized nonintrusive polynomial chaos method was used in conjunction with a commercial CFD code to predict the systematic bias in the measurement of the flow rate and the associated contribution to its measurement uncertainty.
Journal ArticleDOI
Numerical simulation, validation, and analysis of two-phase slug flow in large horizontal pipes
TL;DR: In this paper, the authors present simulation results for gas-liquid slug flow in large horizontal pipes, where the relative error of the mean liquid level between experiment and simulation is less than 12.3% for all but one test cases.
Journal ArticleDOI
Statistical characterization of horizontal slug flow using snapshot proper orthogonal decomposition
TL;DR: In this article, a snapshot proper orthogonal decomposition (snapshot POD) with an additional mode coupling algorithm is employed, which provides an energy-ranked mode basis of the underlying coherent structures.
Journal ArticleDOI
On the influence of inlet perturbations on slug dynamics in horizontal multiphase flow—a computational study
TL;DR: In this article, a perturbation that randomly disturbs the secondary components of the velocity vector at the inlet is proposed in order to capture the experimentally observed instabilities at the interface between the phases.
Journal ArticleDOI
Numerical prediction of the influence of uncertain inflow conditions in pipes by polynomial chaos
TL;DR: In this paper, a non-intrusive polynomial chaos approach is applied to simulations of turbulent pipe flow to estimate the expected variations of the flow profiles as a function of the distance to the inlet of the pipe.