SFB 1313 Publication "Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes–Darcy flow problems"

July 27, 2023 /

Authors: Ilja Kröker, Sergey Oladyshkin, and Iryna Rybak | Scientific Journal: Computational Geosciences

New SFB 1313 and SimTech publication, published in "Computational Geosciences". The work has been developed within the SFB 1313 research projects A03 and D03.

"Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes–Darcy flow problems"

Authors
Abstract

Determination of relevant model parameters is crucial for accurate mathematical modelling and efficient numerical simulation of a wide spectrum of applications in geosciences. The conventional method of choice is the global sensitivity analysis (GSA). Unfortunately, at least the classical Monte-Carlo based GSA requires a high number of model runs. Response surfaces based techniques, e.g. arbitrary Polynomial Chaos (aPC) expansion, can reduce computational effort, however, they suffer from the Gibbs phenomena and high hardware requirements for higher accuracy. We introduce GSA for arbitrary Multi-Resolution Polynomial Chaos (aMR-PC) which is a localized aPC based data-driven polynomial discretization. The aMR-PC allows to reduce the Gibbs phenomena by construction and to achieve higher accuracy by means of localization also for lower polynomial degrees. We apply these techniques to perform the sensitivity analysis for the Stokes–Darcy problem which describes fluid flow in coupled free-flow and porous-medium systems. We consider the Stokes equations in the free-flow region, Darcy’s law in the porous-medium domain and the classical interface conditions across the fluid–porous interface including the conservation of mass, the balance of normal forces and the Beavers–Joseph condition for the tangential velocity. This coupled problem formulation contains four uncertain parameters: the exact location of the interface, the permeability, the Beavers–Joseph slip coefficient and the uncertainty in the boundary conditions. We carry out the sensitivity analysis of the coupled model with respect to these parameters using the Sobol indices on the aMR-PC expansion and conduct the corresponding numerical simulations.

This image shows Sergey Oladyshkin

Sergey Oladyshkin

apl. Prof. Dr.-Ing.

Principal Investigator, Research Project D03

This image shows Iryna Rybak

Iryna Rybak

PD Dr.

Principal Investigator, Research Project A03

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