A spatially stabilized TDG based finite element framework for modeling biofilm growth with a multi-dimensional multi-species continuum biofilm model

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Feng, D.; Neuweiler, I.; Nackenhorst, U.: A spatially stabilized TDG based finite element framework for modeling biofilm growth with a multi-dimensional multi-species continuum biofilm model. In: Computational Mechanics 59 (2017), Nr. 6, S. 1049-1070. DOI: https://doi.org/10.1007/s00466-017-1388-1

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1259

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Sum total of downloads: 343




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Abstract: 
We consider a model for biofilm growth in the continuum mechanics framework, where the growth of different components of biomass is governed by a time dependent advection–reaction equation. The recently developed time-discontinuous Galerkin (TDG) method combined with two different stabilization techniques, namely the Streamline Upwind Petrov Galerkin (SUPG) method and the finite increment calculus (FIC) method, are discussed as solution strategies for a multi-dimensional multi-species biofilm growth model. The biofilm interface in the model is described by a convective movement following a potential flow coupled to the reaction inside of the biofilm. Growth limiting substrates diffuse through a boundary layer on top of the biofilm interface. A rolling ball method is applied to obtain a boundary layer of constant height. We compare different measures of the numerical dissipation and dispersion of the simulation results in particular for those with non-trivial patterns. By using these measures, a comparative study of the TDG–SUPG and TDG–FIC schemes as well as sensitivity studies on the time step size, the spatial element size and temporal accuracy are presented. The final publication is available at Springer via http://dx.doi.org/10.1007/s00466-017-1388-1
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
Document Type: Article
Publishing status: acceptedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 193 56.27%
2 image of flag of Russian Federation Russian Federation 29 8.45%
3 image of flag of Czech Republic Czech Republic 29 8.45%
4 image of flag of United States United States 24 7.00%
5 image of flag of China China 15 4.37%
6 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 8 2.33%
7 image of flag of Sweden Sweden 5 1.46%
8 image of flag of United Kingdom United Kingdom 4 1.17%
9 image of flag of France France 4 1.17%
10 image of flag of Belgium Belgium 3 0.87%
    other countries 29 8.45%

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