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September 23, 2025Engineering With Computers0 citationsOpen Access

A non-intrusive approach for the imposition of strong Dirichlet boundary conditions in unfitted boundary meshes

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JCJuan Ignacio CamarottiRARicky AristioRRRiccardo Rossi

Key Points

  • The proposed algorithm imposes Dirichlet boundary conditions in unfitted meshes, enhancing usability.
  • This approach utilizes four conditions, ensuring compatibility with common commercial software.
  • Application in Finite Element Method and Isogeometric Analysis showed optimal L2-norm error convergence.
  • The algorithm enables solvers designed for body-fitted meshes to operate in unfitted scenarios effectively.

Abstract

Abstract The enforcement of essential boundary conditions is a fundamental challenge in unfitted boundary methods. This paper presents a non-intrusive, black-box strategy for imposing such conditions in unfitted meshes. The approach is intended for situations where the user does not have access to the solver’s source code or its mathematical formulation, which is often the case when using commercial software. The proposed algorithm allows solvers originally designed for body-fitted meshes to be used in unfitted cases, provided that four conditions are satisfied: (i) the solver must support user customization by means of scripting, (ii) allow the imposition of Dirichlet boundary conditions at the node level through scripting, (iii) permit the deactivation of elements outside the physical domain, and (iv) provide access to the solution gradient within active elements. The last condition can also be satisfied by externally reconstructing the gradient from nodal values and connectivity information, provided the element formulation is known, making it optional in practice. These requirements are very fair demands and are satisfied by the vast majority of production-ready, possibly commercial, codes. In the current work, we show the application of this non-intrusive algorithm in the context of the Finite Element Method (FEM) and Isogeometric Analysis (IGA) discretizations, demonstrating optimal L² -norm error convergence. This is demonstrated using the Kratos Multiphysics code (release) from the user API, simply leveraging the capabilities mentioned above.

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Cite This Study

Camarotti et al. (2025) studied this question.

synapsesocial.com/papers/68d4757f31b076d99fa6ce23https://doi.org/10.1007/s00366-025-02207-y
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