Coupled PDE-systems: modelling, analysis and model reduction

Erstveröffentlichung
2019-10-16Authors
Radic, Mladjan
Referee
Urban, KarstenRozza, Gianluigi
Dissertation
Faculties
Fakultät für Mathematik und WirtschaftswissenschaftenInstitutions
Institut für Numerische MathematikAbstract
The description of scientific phenomena by mathematical models by (parametrized)
partial differential equations (PPDEs) often lead to highly time consuming problems.
Though, these type of problems have to be solved and evaluated often and rapidly,
desirably in realtime, for slightly varying parameters. The idea is, to approximate the
underlying PPDE by a low-dimensional reduced model. The so called reduced basis
method (RBM) has become an established and efficient method for the reduction of such
models.
In this work, the modeling of catalytic converter is considered. This leads to a highly
coupled nonlinear time-dependent and stiff problem. The exhaust gas species Xf will
flow through so called channels, modelled by a transport equation. These gas species
reacts with the species on the surface Xs of the so called washcoat, receiving a diffusion
reaction equation and the surface is the coupling boundary. The loading on the surface ,
important for the chemical reactions is modelled by an ODE. The inlet concentration of
the gas species as well as the initial concentration is considered as the parameter, which
may vary.
The model of the catalytic converter motivates the study of coupled systems. Therefore,
a linear coupled system, where two domains are coupled through an interface is derived.
On the first domain, a linear transport equation is considered. On the second domain, a
linear diffusion reaction is considered. The focus here is to impose the right boundary
conditions, the well-posedness of the problem and how to apply the RBM. This model
shall mimic the catalytic converter.
In fact, some already known limitations of the RBM are revealed and enlighted with the
help of the linear coupled system. One of these limitations is related to the estimation
of the error between the full order and reduced model. Another approach is introduced
for the RBM, namely the hierarchical error estimator. This new error bound is applied
first on two different PPDEs. Its advantages and strength as well as its limitations and
drawbacks are discussed and illustrated by these two problems before being applied on
the coupled system.
Date created
2019
Subject headings
[GND]: Gekoppeltes System[LCSH]: Coupled mode theory
[Free subject headings]: Coupled systems | Hierarchical error estimator | Reduced basis method
[DDC subject group]: DDC 510 / Mathematics
Metadata
Show full item recordDOI & citation
Please use this identifier to cite or link to this item: http://dx.doi.org/10.18725/OPARU-20550
Radic, Mladjan (2019): Coupled PDE-systems: modelling, analysis and model reduction. Open Access Repositorium der Universität Ulm und Technischen Hochschule Ulm. Dissertation. http://dx.doi.org/10.18725/OPARU-20550
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