4.7 Article

IETI - Isogeometric Tearing and Interconnecting

Journal

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cma.2012.08.007

Keywords

Isogeometric analysis; NURBS; Domain decomposition; FETI; IETI

Funding

  1. Austrian Science Fund (FWF) [P21516-N18]
  2. European Union [218536]
  3. Austrian Academy of Sciences (OAW)
  4. Austrian Science Fund (FWF) [P21516] Funding Source: Austrian Science Fund (FWF)

Ask authors/readers for more resources

Finite Element Tearing and Interconnecting (FETI) methods are a powerful approach to designing solvers for large-scale problems in computational mechanics. The numerical simulation problem is subdivided into a number of independent sub-problems, which are then coupled in appropriate ways. NURBS-(Non-Uniform Rational B-spline) based isogeometric analysis (IGA) applied to complex geometries requires to represent the computational domain as a collection of several NURBS geometries. Since there is a natural decomposition of the computational domain into several subdomains, NURBS-based IGA is particularly well suited for using FETI methods. This paper proposes the new IsogEometric Tearing and Interconnecting (IETI) method, which combines the advanced solver design of FETI with the exact geometry representation of IGA. We describe the IETI framework for two classes of simple model problems (Poisson and linearized elasticity) and discuss the coupling of the subdomains along interfaces (both for matching interfaces and for interfaces with T-joints, i.e. hanging nodes). Special attention is paid to the construction of a suitable preconditioner for the iterative linear solver used for the interface problem. We report several computational experiments to demonstrate the performance of the proposed IETI method. (C) 2012 Elsevier BY. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available