Efficient Numerical Methods for Large Partial Differential Complementarity Systems arising in Multispecies Reactive Transport with Minerals in Porous Media

Drittmittelfinanzierte Einzelförderung


Details zum Projekt

Projektleiter/in:
Prof. Dr. Peter Knabner
PD Dr. Serge Kräutle


Beteiligte FAU-Organisationseinheiten:
Lehrstuhl für Angewandte Mathematik

Mittelgeber: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
Projektstart: 01.01.2007
Projektende: 31.12.2011


Abstract (fachliche Beschreibung):


The project focuses on the accurate and efficient numerical treatment of time-dependent reactive transport problems with many species (in porous media) in 2 or 3 space dimensions with local complementarity conditions as essential ingredient. The problem takes the form of a differential algebraic set of equations and complementarity constraints, consisting of time dependent (possibly convection-dominated) semilinear partial differential equations (PDEs), nonlinear ordinary differential equations, nonlinear algebraic equalities, and inequalities. Taking a typical species number of 10 to 20 and of nodal degrees of freedom of 104 to 106, also for an appropriate (e.g., local mass conservative) discretization, the solution of the emerging finite dimensional complementarity system is a formidable task, whose efficient algorithmic treatment is the main topic of the project. Algorithms of semismooth Newton type are the principal choice. Aims are the investigation and improvement of the algorithms w.r.t. efficiency and robustness, and comparing them to other (e.g., interiorpoint-) methods. The algorithms to be developed are supposed to heavily take advantage of knowledge about the substructuring of the problem. The emerging methods and software, also for parallel computers, is supposed to handle several large real world problems, not yet treatable satisfactorily.


Externe Partner

Julius-Maximilians-Universität Würzburg

Zuletzt aktualisiert 2018-15-11 um 13:33