A Localized Orthogonal Decomposition method for heterogeneous mixed-dimensional problems
Moritz Hauck, Axel Målqvist, Malin Mosquera
TL;DR
This work advances numerical multiscale modeling for mixed-dimensional elliptic problems with heterogeneous coefficients by adapting the Localized Orthogonal Decomposition to bulk–interface systems. It constructs problem-adapted, locally supported bases via a priori analysis and exponential decay of the prototypical basis, then localizes computations on oversampled patches to yield a practical, parallelizable method. Theoretical results show optimal coarse-mesh convergence with a localization error decaying exponentially in the patch size, and numerical experiments corroborate accuracy across smooth, oscillatory, and complex-shaped coarse meshes. The approach enables efficient, scalable simulations of fractured porous media and related multi-scale, mixed-dimensional phenomena.
Abstract
We propose a multiscale method for mixed-dimensional elliptic problems with highly heterogeneous coefficients arising, for example, in the modeling of fractured porous media. The method is based on the Localized Orthogonal Decomposition (LOD) framework and constructs locally supported, problem-adapted basis functions on a coarse mesh that does not need to resolve the coefficient oscillations. These basis functions are obtained in parallel by solving localized fine-scale problems. Our a priori error analysis shows that the method achieves optimal convergence with respect to the coarse mesh size, independent of the coefficient regularity, with an exponentially decaying localization error. Numerical experiments validate these theoretical findings and demonstrate the computational viability of the method.
