As a simplified model for subsurface flows, elliptic equations may be
utilized. Insufficient measurements or uncertainty in those are commonly
modeled by a random coefficient, which then accounts for the uncertain
permeability of a given medium. As an extension of this methodology to
flows in heterogeneous/fractured/porous media, we incorporate jumps in
the diffusion coefficient. These discontinuities then represent
transitions in the media. More precisely, we consider a second order
elliptic problem where the random coefficient is given by the sum of a
(continuous) Gaussian random field and a (discontinuous) jump part. To
estimate moments of the solution to the resulting random partial
differential equation, we use a pathwise numerical approximation
combined with multilevel Monte Carlo sampling. In order to account for
the discontinuities and improve the convergence of the pathwise
approximation, the spatial domain is decomposed with respect to the jump
positions in each sample, leading to path-dependent grids. Hence, it is
not possible to create a nested sequence of grids which is suitable for
each sample path a priori. We address this issue by an adaptive
multilevel algorithm, where the discretization on each level is
sample-dependent and fulfills given refinement conditions.
This research was supported by the German Research Foundation (DFG) as
part of the Cluster of Excellence in Simulation Technology (EXC 310/2)
at the University of Stuttgart and by the junior professorship program
of Baden-Wurttemberg.
funding-acknowledgement
German Research Foundation (DFG) as part of the Cluster of Excellence in
Simulation Technology at the University of Stuttgart EXC 310/2;
junior professorship program of Baden-Wurttemberg
%0 Journal Article
%1 WOS:000453873700016
%A Barth, Andrea
%A Stein, Andreas
%C 3600 UNIV CITY SCIENCE CENTER, PHILADELPHIA, PA 19104-2688 USA
%D 2018
%I SIAM PUBLICATIONS
%J SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION
%K imported from:brittalenz ians
%N 4
%P 1707-1743
%R 10.1137/17M1148888
%T A Study of Elliptic Partial Differential Equations with Jump Diffusion
Coefficients
%V 6
%X As a simplified model for subsurface flows, elliptic equations may be
utilized. Insufficient measurements or uncertainty in those are commonly
modeled by a random coefficient, which then accounts for the uncertain
permeability of a given medium. As an extension of this methodology to
flows in heterogeneous/fractured/porous media, we incorporate jumps in
the diffusion coefficient. These discontinuities then represent
transitions in the media. More precisely, we consider a second order
elliptic problem where the random coefficient is given by the sum of a
(continuous) Gaussian random field and a (discontinuous) jump part. To
estimate moments of the solution to the resulting random partial
differential equation, we use a pathwise numerical approximation
combined with multilevel Monte Carlo sampling. In order to account for
the discontinuities and improve the convergence of the pathwise
approximation, the spatial domain is decomposed with respect to the jump
positions in each sample, leading to path-dependent grids. Hence, it is
not possible to create a nested sequence of grids which is suitable for
each sample path a priori. We address this issue by an adaptive
multilevel algorithm, where the discretization on each level is
sample-dependent and fulfills given refinement conditions.
@article{WOS:000453873700016,
abstract = {As a simplified model for subsurface flows, elliptic equations may be
utilized. Insufficient measurements or uncertainty in those are commonly
modeled by a random coefficient, which then accounts for the uncertain
permeability of a given medium. As an extension of this methodology to
flows in heterogeneous/fractured/porous media, we incorporate jumps in
the diffusion coefficient. These discontinuities then represent
transitions in the media. More precisely, we consider a second order
elliptic problem where the random coefficient is given by the sum of a
(continuous) Gaussian random field and a (discontinuous) jump part. To
estimate moments of the solution to the resulting random partial
differential equation, we use a pathwise numerical approximation
combined with multilevel Monte Carlo sampling. In order to account for
the discontinuities and improve the convergence of the pathwise
approximation, the spatial domain is decomposed with respect to the jump
positions in each sample, leading to path-dependent grids. Hence, it is
not possible to create a nested sequence of grids which is suitable for
each sample path a priori. We address this issue by an adaptive
multilevel algorithm, where the discretization on each level is
sample-dependent and fulfills given refinement conditions.},
added-at = {2021-09-13T10:24:35.000+0200},
address = {3600 UNIV CITY SCIENCE CENTER, PHILADELPHIA, PA 19104-2688 USA},
affiliation = {Barth, A (Corresponding Author), Univ Stuttgart, IANS SimTech, Stuttgart, Germany.
Barth, Andrea; Stein, Andreas, Univ Stuttgart, IANS SimTech, Stuttgart, Germany.},
author = {Barth, Andrea and Stein, Andreas},
author-email = {andrea.barth@mathematik.uni-stuttgart.de
andreas.stein@mathematik.uni-stuttgart.de},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/28cbdb621961cdba1ad33e1ae663468e8/mathematik},
da = {2021-08-10},
doc-delivery-number = {HF0SR},
doi = {10.1137/17M1148888},
funding-acknowledgement = {German Research Foundation (DFG) as part of the Cluster of Excellence in
Simulation Technology at the University of Stuttgart {[}EXC 310/2];
junior professorship program of Baden-Wurttemberg},
funding-text = {This research was supported by the German Research Foundation (DFG) as
part of the Cluster of Excellence in Simulation Technology (EXC 310/2)
at the University of Stuttgart and by the junior professorship program
of Baden-Wurttemberg.},
interhash = {4d5bdeac74652866e67e029befd67cc0},
intrahash = {8cbdb621961cdba1ad33e1ae663468e8},
issn = {2166-2525},
journal = {SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION},
journal-iso = {SIAM-ASA J. Uncertain. Quantif.},
keywords = {imported from:brittalenz ians},
language = {English},
number = 4,
number-of-cited-references = {40},
oa = {Green Submitted},
pages = {1707-1743},
publisher = {SIAM PUBLICATIONS},
research-areas = {Mathematics; Physics},
times-cited = {0},
timestamp = {2023-12-07T16:38:56.000+0100},
title = {A Study of Elliptic Partial Differential Equations with Jump Diffusion
Coefficients},
type = {Article},
unique-id = {WOS:000453873700016},
usage-count-last-180-days = {0},
usage-count-since-2013 = {0},
volume = 6,
web-of-science-categories = {Mathematics, Interdisciplinary Applications; Physics, Mathematical},
year = 2018
}