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Discontinuous Galerkin isogeometric analysis for segmentations generating overlapping regions.

Christoph Hofer1, Ioannis Toulopoulos2,3

  • 1Institute of Computational Mathematics, Johannes Kepler University (JKU), Linz, Austria.

Applicable Analysis
|September 17, 2021
PubMed
Summary

A new Discontinuous Galerkin Isogeometric Analysis (DG-IGA) method handles multipatch domains with overlapping regions. This approach accurately connects interface fluxes, providing theoretical error bounds for improved computational accuracy.

Keywords:
65M1265M15Elliptic diffusion problemsconsistency errordiscontinuous Galerkin methodsheterogeneous diffusion coefficientsisogeometric analysisnon-matching parametrized interfacesoverlapping patches

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Area of Science:

  • Computational mathematics
  • Numerical analysis
  • Computer-aided design (CAD) integration

Background:

  • Multipatch representations are common in Isogeometric Analysis (IGA).
  • Gaps and overlaps often occur at patch interfaces in these representations.
  • Existing IGA methods may struggle with such interface complexities.

Purpose of the Study:

  • To develop a Discontinuous Galerkin (DG)-IGA method for multipatch domains with overlapping regions.
  • To provide a robust numerical technique applicable to CAD-derived geometries.
  • To theoretically analyze and bound the errors introduced by the method.

Main Methods:

  • Development of a DG-IGA formulation tailored for overlapping multipatch domains.
  • A novel approach to connect fluxes across overlapping patch interfaces.
  • Error decomposition into consistency and approximation error components.
  • Theoretical error estimation and bounding.

Main Results:

  • The proposed DG-IGA method effectively handles overlapping regions between patches.
  • Theoretical bounds for both consistency and approximation errors were derived.
  • Numerical examples validated the theoretical error estimates.

Conclusions:

  • The DG-IGA method offers a viable solution for analyzing complex multipatch geometries in IGA.
  • The theoretical framework provides confidence in the method's accuracy and convergence properties.
  • This work facilitates the direct application of IGA to complex CAD models.