A High Order Cartesian Grid, Finite Volume Method for Elliptic Interface Problems
Will Thacher, Hans Johansen, Daniel Martin

TL;DR
This paper introduces a high-order finite volume method for elliptic PDEs with interfaces, achieving up to sixth-order accuracy and capable of handling complex geometries and high-contrast coefficients.
Contribution
It develops a generalized truncation error analysis and a simple geometric moment computation method for embedded interfaces, enhancing accuracy and flexibility.
Findings
Achieves second, fourth, and sixth order accuracy on test problems.
Effectively handles high-contrast and spatially varying coefficients.
Maintains finite volume conservation with complex interface geometries.
Abstract
We present a higher-order finite volume method for solving elliptic PDEs with jump conditions on interfaces embedded in a 2D Cartesian grid. Second, fourth, and sixth order accuracy is demonstrated on a variety of tests including problems with high-contrast and spatially varying coefficients, large discontinuities in the source term, and complex interface geometries. We include a generalized truncation error analysis based on cell-centered Taylor series expansions, which then define stencils in terms of local discrete solution data and geometric information. In the process, we develop a simple method based on Green's theorem for computing exact geometric moments directly from an implicit function definition of the embedded interface. This approach produces stencils with a simple bilinear representation, where spatially-varying coefficients and jump conditions can be easily included and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Electromagnetic Simulation and Numerical Methods · Numerical methods in engineering
