4.7 Article

Isogeometric analysis based on modified Loop subdivision surface with improved convergence rates

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cma.2022.115258

关键词

Subdivision; Loop subdivision; Isogeometric analysis; Optimal convergence rate; Nitsche?s technique

资金

  1. National Key R&D Program of China
  2. NSF of China
  3. Natural Science Foundation of Jiangsu Province, China
  4. [2020YFB1708900]
  5. [61872328]
  6. [11801393]
  7. [BK20180831]

向作者/读者索取更多资源

This paper introduces a modified version of Loop subdivision called MLSS to improve convergence rates in isogeometric analysis. MLSS is parameterized on non-boundary elements and does not require special subdivision rules and evaluation for the boundaries. The paper combines the idea of the control net of B-splines and Nitsche's method to solve the non-optimal convergence rate problem. It defines a new rule for extraordinary points and achieves optimal convergence rate in numerical experiments for the Poisson problem.
This paper introduces a modified version of Loop subdivision, called modified Loop subdivision surface (MLSS), to improve the convergence rates in isogeometric analysis. Motivated by the control net of B-splines with non-repetitive end knots, the subdivision surface is parameterized on the non-boundary elements, where no special subdivision rules and evaluation needed for the boundaries. This idea together with the Nitsche's method which is adopted for weakly imposing boundary conditions is used to solve the non-optimal convergence rate problem for extended Loop subdivision even without extraordinary points (EPs). For the EPs, we define a new rule with a parameter lambda (0 < lambda < 1.0), which is exactly the second maximum eigenvalue of the subdivision matrix. The MLSS is defined by combining the two ideas, which is global C2-continuous except G1 and curvature bounded around the EPs. The MLSS limit surface has comparable shape quality as Loop subdivision surface. Besides that, the numerical experiments show that MLSS can achieve the optimal convergence rate in the Poisson problem both in the L2 and H1 norm. (c) 2022 Elsevier B.V. All rights reserved.

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