Higher-order, mixed-hybrid finite elements for Kirchhoff-Love shells
Jonas Neumeyer, Michael Wolfgang Kaiser, Thomas-Peter Fries

TL;DR
This paper introduces a mixed-hybrid finite element method for Kirchhoff-Love shells that allows the use of classical higher-order elements with reduced continuity requirements, enabling efficient and accurate numerical analysis.
Contribution
The novel mixed-hybrid formulation reduces continuity constraints and enables equal-order interpolation of displacements and moments in Kirchhoff-Love shell analysis.
Findings
Achieves optimal higher-order convergence rates with smooth solutions
Enables element-wise static condensation of moments
Proposes new benchmark test cases for shell analysis
Abstract
A novel mixed-hybrid method for Kirchhoff-Love shells is proposed that enables the use of classical, possibly higher-order Lagrange elements in numerical analyses. In contrast to purely displacement-based formulations that require higher continuity of shape functions as in IGA, the mixed formulation features displacements and moments as primary unknowns. Thereby the continuity requirements are reduced, allowing equal-order interpolations of the displacements and moments. Hybridization enables an element-wise static condensation of the degrees of freedom related to the moments, at the price of introducing (significantly less) rotational degrees of freedom acting as Lagrange multipliers to weakly enforce the continuity of tangential moments along element edges. The mixed model is formulated coordinate-free based on the Tangential Differential Calculus, making it applicable for explicitly…
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
TopicsComposite Structure Analysis and Optimization · Advanced Numerical Methods in Computational Mathematics · Advanced Mathematical Modeling in Engineering
