High Order Morley Elements for Biharmonic Equations on Polytopal Partitions
Dan Li, Chunmei Wang, Junping Wang, Shangyou Zhang

TL;DR
This paper extends the Morley finite element method for biharmonic equations to polytopal partitions using weak Galerkin techniques, achieving high accuracy with minimal degrees of freedom.
Contribution
It introduces a novel higher-order Morley element extension on polytopal meshes via weak Galerkin methods, enhancing flexibility and efficiency in biharmonic problem approximation.
Findings
Achieves optimal error estimates in discrete $H^2$ and $L^2$ norms.
Demonstrates the method's effectiveness through numerical experiments.
Provides a stable and accurate scheme for biharmonic equations on complex meshes.
Abstract
This paper introduces an extension of the Morley element for approximating solutions to biharmonic equations. Traditionally limited to piecewise quadratic polynomials on triangular elements, the extension leverages weak Galerkin finite element methods to accommodate higher degrees of polynomials and the flexibility of general polytopal elements. By utilizing the Schur complement of the weak Galerkin method, the extension allows for fewest local degrees of freedom while maintaining sufficient accuracy and stability for the numerical solutions. The numerical scheme incorporates locally constructed weak tangential derivatives and weak second order partial derivatives, resulting in an accurate approximation of the biharmonic equation. Optimal order error estimates in both a discrete norm and the usual norm are established to assess the accuracy of the numerical approximation.…
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 · Numerical methods in engineering · Numerical methods for differential equations
