Isogeometric multipatch coupling with arbitrary refinement and parametrization using the Gap–Shifted Boundary Method

This work introduces a novel isogeometric multipatch coupling technique based on the Gap–Shifted Boundary Method (Gap–SBM). The method enables high-order, robust, and fully embedded coupling between nonconforming patches that may differ arbitrarily in element size, polynomial degree, orientation, an...

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Bibliographic Details
Authors: Antonelli, Nicolò, Gorgi, Andrea, Zorrilla Martínez, Rubén|||0000-0001-8270-7170, Rossi, Riccardo|||0000-0003-0528-7074
Format: article
Publication Date:2026
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/459478
Online Access:https://hdl.handle.net/2117/459478
https://dx.doi.org/10.1016/j.cma.2026.118913
Access Level:Open access
Keyword:Isogeometric Analysis (IGA)
Multipatch coupling
Shifted Boundary Method (SBM)
Gap–SBM
Unfitted methods
Nitsche coupling
Condition number analysis
Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics
Description
Summary:This work introduces a novel isogeometric multipatch coupling technique based on the Gap–Shifted Boundary Method (Gap–SBM). The method enables high-order, robust, and fully embedded coupling between nonconforming patches that may differ arbitrarily in element size, polynomial degree, orientation, and parametrization. In contrast to classical isogeometric multipatch strategies, the proposed approach avoids the need for watertight interfaces or matched knot vectors, and it preserves the conditioning of the discrete system by integrating over gap regions without introducing additional degrees of freedom. The coupling is enforced through a penalty-free Nitsche formulation. The framework also enables the insertion of locally refined subpatches around embedded boundaries, allowing h- and p-refinement to be introduced selectively while maintaining a consistent global discretization. A comprehensive set of numerical experiments demonstrates that the proposed multipatch coupling achieves both optimal convergence and favorable conditioning of the linear system, even in the presence of thin gap regions or highly nonconforming patches. The proposed methodology is assessed through numerical examples in two-dimensional settings.