A hybrid isogeometric collocation method on implicitly trimmed domains

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2025-02-12 DOI:10.1016/j.cma.2025.117812
Jingjing Yang , Pei Zhou , Lin Lan , Chun-Gang Zhu
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Abstract

We propose a novel isogeometric collocation method (IGA-C) for trimmed domains, using weighted extended B-splines (WEB-splines). Our approach employs the implicit representations of the trimming boundaries to construct the weighted basis, which allows for the subsequent calculations based on a parametrization over a single tensor-product patch, despite the nontrivial shape of the domain. The stabilization of the weighted basis is accomplished by means of extension. We present the classification criterion and the calculation procedure for the extension coefficients of the inner B-splines. The utilization of WEB-splines in analysis enables a natural application of the Dirichlet boundary conditions. Additionally, we adopt a hybrid collocation–Galerkin approach to impose the Neumann boundary conditions on the trimming boundaries. Our proposed method combines the advantages of WEB-splines and IGA-C in terms of straightforward implementation, well-conditioned system matrices and high computational efficiency, which we illustrate by numerical tests on 2D and 3D trimmed geometries. The numerical results further demonstrate that our methodology guarantees the same convergence rates as IGA-C.
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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