Nonlinear mixed-dimension model for embedded tubular networks with application to root water uptake

•Novel numerical method for nonlinear embedded 1D-3D mixed-dimensional PDEs.•Simulations of root water uptake demonstrate accuracy and efficiency of the approach.•Accurate reconstruction of interface unknown and flux on coarse grids.•Detailed numerical investigation of underlying model assumptions.•...

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Veröffentlicht in:Journal of computational physics 2022-02, Vol.450, p.110823, Article 110823
Hauptverfasser: Koch, Timo, Wu, Hanchuan, Schneider, Martin
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Sprache:eng
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Zusammenfassung:•Novel numerical method for nonlinear embedded 1D-3D mixed-dimensional PDEs.•Simulations of root water uptake demonstrate accuracy and efficiency of the approach.•Accurate reconstruction of interface unknown and flux on coarse grids.•Detailed numerical investigation of underlying model assumptions.•Method is independent of discretization scheme and type of computational grid. We present a numerical scheme for the solution of nonlinear mixed-dimensional PDEs describing coupled processes in embedded tubular network system in exchange with a bulk domain. Such problems arise in various biological and technical applications such as in the modeling of root-water uptake, heat exchangers, or geothermal wells. The nonlinearity appears in form of solution-dependent parameters such as pressure-dependent permeability or temperature-dependent thermal conductivity. We derive and analyze a numerical scheme based on distributing the bulk-network coupling source term by a smoothing kernel with local support. By the use of local analytical solutions, interface unknowns and fluxes at the bulk-network interface can be accurately reconstructed from coarsely resolved numerical solutions in the bulk domain. Numerical examples give confidence in the robustness of the method and show the results in comparison to previously published methods. The new method outperforms these existing methods in accuracy and efficiency. In a root water uptake scenario, we accurately estimate the transpiration rate using only a few thousand 3D mesh cells and a structured cube grid whereas other state-of-the-art numerical schemes require millions of cells and local grid refinement to reach comparable accuracy.
ISSN:0021-9991
1090-2716
DOI:10.1016/j.jcp.2021.110823