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The Nitsche’s Method and Applications in Isogeometric Analysis

Qingyuan Hu1,*, Yuan Liang2

1 School of Science, Jiangnan University, Wuxi, 214122, China
2 Department of Engineering Mechanics, Dalian University of Technology, Dalian, 116024, China

* Corresponding Author: Qingyuan Hu. Email: email

The International Conference on Computational & Experimental Engineering and Sciences 2023, 27(3), 1-2.


The Nitsche’s method is originally proposed as a technique to impose boundary conditions, nowadays it is widely used for isometric analysis (IGA) and corresponding topology optimization applications. Based on our previous research [1], we present a simple way to derive the Nitsche’s formulations for different kind of boundary and interface conditions, and studied this technique in the context of IGA discretization, especially for patch coupling and contact problems. The skew-symmetric variant of the Nitsche’s method is then further studied. For linear boundary or interface conditions, the skew-symmetric formulation is parameterfree. For contact conditions, it remains stable and accurate for a wide range of the stabilization parameter. Topological optimization plays a guiding role in the conceptual design process. For multi-patch models in engineer practices, the Nitsche’s method is used to glue different meshes to perform multi-patch IGA and then topology optimization [2]. The discrete variable topology optimization algorithm based on integer programming is adopted in order to obtain clear boundaries for topology optimization [3,4]. Taking advantages of curved-edge elements in IGA, topology optimization in the framework of IGA can obtain locally smoother material boundaries than traditional FEM under the same level of mesh resolution. In addition, in order to accelerate the computational process with extremely large amount of degrees of freedom and get high-resolution results, we extend our study to the PETSc framework with high performance clusters.


Cite This Article

, Q., Liang, Y. (2023). The Nitsche’s Method and Applications in Isogeometric Analysis. The International Conference on Computational & Experimental Engineering and Sciences, 27(3), 1–2.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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