Adaptive multi-patch isogeometric analysis for heat transfer in three-dimensional solid

IF 7.3 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2025-05-01 Epub Date: 2025-03-09 DOI:10.1016/j.cma.2025.117895
Lin Wang , Tiantang Yu , Sundararajan Natarajan , Weihua Fang , Zhiwei Zhou
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Abstract

This paper presents an adaptive multi-patch isogeometric framework for modeling heat conduction in isotropic/orthotropic media. The proposed adaptive scheme is a novel combination of local mesh refinement and adaptive time-stepping to improve the calculation efficiency and reduce meshing burden. The local adaptive refinement is driven by a recovery-based error estimator. Truncated hierarchical NURBS (TH-NURBS) are utilized for local adaptive mesh refinement due to their excellent properties, such as linear independence, partition-of-unity, and exact description of complex geometry. Multi-patch technique is applied to model complex structures, with Nitsche’s method as the coupling strategy. The computational accuracy of the proposed model is verified through several 3D numerical examples. The high efficiency of the adaptive scheme is demonstrated by comparing with uniform refinement method and fixed time-stepping method separately.
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三维固体传热的自适应多补丁等几何分析
本文提出了一种自适应多块等几何框架,用于模拟各向同性/正交异性介质中的热传导。该自适应方案将局部网格细化和自适应时间步进相结合,提高了计算效率,减轻了网格划分负担。局部自适应细化由基于恢复的误差估计器驱动。截断层次NURBS (Truncated hierarchical NURBS, TH-NURBS)由于具有线性无关、统一分割和精确描述复杂几何形状等优良特性,被用于局部自适应网格细化。采用多补丁技术对复杂结构进行建模,并采用Nitsche方法作为耦合策略。通过几个三维数值算例验证了该模型的计算精度。分别与均匀细化法和固定时间步进法进行了比较,证明了自适应方案的高效性。
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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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