Comparative study of different quadrature methods for cut elements
Michael Loibl, Guilherme H. Teixeira, Teoman Toprak, Irina Shishkina, Chen Miao, Josef Kiendl, Florian Kummer, Benjamin Marussig

TL;DR
This paper reviews and benchmarks various open-source quadrature methods for cut elements in finite element analysis, evaluating their efficiency, accuracy, and robustness across 2D and 3D geometries.
Contribution
It provides a comprehensive comparison of existing open-source codes and develops benchmark examples to assess their performance in different scenarios.
Findings
Efficiency varies with input parameters
Accuracy depends on quadrature order
Robustness is tested across multiple geometries
Abstract
The quadrature of cut elements is crucial for all Finite Element Methods that do not apply boundary-fitted meshes. It should be efficient, accurate, and robust. Various approaches balancing these requirements have been published, with some available as open-source implementations. This work reviews these open-sources codes and the methods used. Furthermore, benchmarking examples are developed for 2D and 3D geometries. Implicit and explicit boundary descriptions are available for all models. The different examples test the efficiency, accuracy, versatility, and robustness of the codes. Special focus is set on the influence of the input parameter, which controls the desired quadrature order, on the actual integration error. A detailed comparison of the discussed codes is carried out. The benchmarking allows a conclusive comparison and presents a valuable tool for future code development.…
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 · Topology Optimization in Engineering
