English

Robust Preconditioning of mixed-dimensional PDEs on 3d-1d domains coupled with Lagrange multipliers

Numerical Analysis 2023-07-18 v1 Numerical Analysis

Abstract

In the context of micro-circulation, the coexistence of two distinct length scales - the vascular radius and the tissue/organ scale - with a substantial difference in magnitude, poses significant challenges. To handle slender inclusions and simplify the geometry involved, a technique called topological dimensionality reduction is employed, which suppresses manifold dimensions associated with the smaller characteristic length. However, the resulting discretized system's algebraic structure presents a challenge in constructing efficient solution algorithms. This chapter addresses this challenge by developing a robust preconditioner for the 3d-1d problem using the operator preconditioning technique. Robustness of the preconditioner is demonstrated with respect to problem parameters, except for the vascular radius. The vascular radius, as demonstrated, plays a fundamental role in mathematical well-posedness of the problem and the preconditioner's effectiveness.

Keywords

Cite

@article{arxiv.2307.08431,
  title  = {Robust Preconditioning of mixed-dimensional PDEs on 3d-1d domains coupled with Lagrange multipliers},
  author = {Nunzio Dimola and Miroslav Kuchta and Kent-Andre Mardal and Paolo Zunino},
  journal= {arXiv preprint arXiv:2307.08431},
  year   = {2023}
}