Description of random level sets by polynomial chaos expansions
Markus Bambach, Stephan Gerster, Michael Herty, Aleksey Sikstel

TL;DR
This paper introduces a new stochastic Galerkin method for modeling the evolution of random level sets under uncertain velocity fields, providing a hyperbolic reformulation and finite-volume scheme for quantile computation.
Contribution
It presents a novel intrusive Galerkin formulation for hyperbolic level-set equations with uncertainties, tailored for uncertain velocities.
Findings
The method is proven hyperbolic.
A finite-volume scheme is developed for uncertain velocities.
Quantiles of random level sets can be computed efficiently.
Abstract
We present a novel approach to determine the evolution of level sets under uncertainties in the velocity fields. This leads to a stochastic description of the level sets. To compute the quantiles of random level sets, we use the stochastic Galerkin method for a hyperbolic reformulation of the level-set equations. A novel intrusive Galerkin formulation is presented and proven hyperbolic. It induces a corresponding finite-volume scheme that is specifically taylored for uncertain velocities.
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Taxonomy
TopicsProbabilistic and Robust Engineering Design
