Tuned hybrid nonuniform subdivision surfaces with optimal convergence rates
International Journal for Numerical Methods in Engineering, 2021•Wiley Online Library
This article presents an enhanced version of our previous work, hybrid nonuniform
subdivision (HNUS) surfaces, to achieve optimal convergence rates in isogeometric analysis
(IGA). We introduce a parameter λ (1 4< λ< 1) to control the rate of shrinkage of irregular
regions, so the method is called tuned hybrid nonuniform subdivision (tHNUS). Thus, HUNS
is a special case of tHNUS when λ= 1 2. While introducing λ in hybrid subdivision
significantly complicates the theoretical proof of G 1 continuity around extraordinary vertices …
subdivision (HNUS) surfaces, to achieve optimal convergence rates in isogeometric analysis
(IGA). We introduce a parameter λ (1 4< λ< 1) to control the rate of shrinkage of irregular
regions, so the method is called tuned hybrid nonuniform subdivision (tHNUS). Thus, HUNS
is a special case of tHNUS when λ= 1 2. While introducing λ in hybrid subdivision
significantly complicates the theoretical proof of G 1 continuity around extraordinary vertices …
Abstract
This article presents an enhanced version of our previous work, hybrid nonuniform subdivision (HNUS) surfaces, to achieve optimal convergence rates in isogeometric analysis (IGA). We introduce a parameter () to control the rate of shrinkage of irregular regions, so the method is called tuned hybrid nonuniform subdivision (tHNUS). Thus, HUNS is a special case of tHNUS when . While introducing in hybrid subdivision significantly complicates the theoretical proof of G1 continuity around extraordinary vertices, reducing can recover optimal convergence rates when tHNUS functions are used as a basis in IGA. From the geometric point of view, tHNUS retains comparable shape quality as HNUS under nonuniform parameterization. Its basis functions are refinable and the geometric mapping stays invariant during refinement. Moreover, we prove that a tHNUS surface is globally G1‐continuous. From the analysis point of view, tHNUS basis functions form a nonnegative partition of unity, are globally linearly independent, and their spline spaces are nested. In the end, we numerically demonstrate that tHNUS basis functions can achieve optimal convergence rates for the Poisson's problem with nonuniform parameterization around extraordinary vertices.
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