An unfitted high-order HDG method for two-fluid Stokes flow with exact NURBS geometries
Stefano Piccardo, Matteo Giacomini, Antonio Huerta
TL;DR
The paper presents an unfitted, high-order HDG method integrated with NEFEM to treat exact NURBS geometries for two-fluid Stokes flows. By embedding NURBS into a fixed Cartesian grid, it achieves high accuracy on non-matching meshes without additional DOFs on interfaces, while using Nitsche-based boundary treatment and interface coupling to preserve mass and symmetry. A degree-adaptive postprocessing scheme, together with an element-extension strategy for badly cut cells, yields robust, optimal convergence and precise mass conservation across challenging CAD geometries and microfluidic-like configurations. The approach demonstrates strong potential for CAD-derived microfluidic and multi-fluid simulations, scalable to complex 2D geometries and extendable to moving interfaces and 3D settings.
Abstract
A high-order, degree-adaptive hybridizable discontinuous Galerkin (HDG) method is presented for two-fluid incompressible Stokes flows, with boundaries and interfaces described using NURBS. The NURBS curves are embedded in a fixed Cartesian grid, yielding an unfitted HDG scheme capable of treating the exact geometry of the boundaries/interfaces, circumventing the need for fitted, high-order, curved meshes. The framework of the NURBS-enhanced finite element method (NEFEM) is employed for accurate quadrature along immersed NURBS and in elements cut by NURBS curves. A Nitsche's formulation is used to enforce Dirichlet conditions on embedded surfaces, yielding unknowns only on the mesh skeleton as in standard HDG, without introducing any additional degree of freedom on non-matching boundaries/interfaces. The resulting unfitted HDG-NEFEM method combines non-conforming meshes, exact NURBS geometry and high-order approximations to provide high-fidelity results on coarse meshes, independent of the geometric features of the domain. Numerical examples illustrate the optimal accuracy and robustness of the method, even in the presence of badly cut cells or faces, and its suitability to simulate microfluidic systems from CAD geometries.
