A novel SCTBEM with inversion-free Padé series expansion for 3D transient heat transfer analysis in FGMs

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2024-11-20 DOI:10.1016/j.cma.2024.117546
Ruijiang Jing, Bo Yu, Shanhong Ren, Weian Yao
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Abstract

In this study, a novel scaled coordinate transformation boundary element method (SCTBEM) is proposed to solve the transient heat transfer problem of three-dimensional (3D) functionally gradient materials. In order to compute the coefficient matrix only once when solving transient problems, the fundamental solution of Laplace operator is used to derive the boundary-domain integral equation. To maintain advantages of the boundary element method in dimensionality reduction, this study adopts the SCT technique proposed by Yu et al., to transform the domain integral into the boundary integral. With the aim of determining high precision heat flux, the dual interpolation technique is introduced for deriving integral equations only from the internal nodes of the surface element, which unifies the corner problem and achieves the coalescence of degrees of freedom. It is noteworthy that this study establishes the precise integration solution of the first order ordinary differential equation by means of Padé expansions without matrices inversion to improve the accuracy and efficiency of the solution. Numerical results show that both temperature and heat flux of 3D functionally gradient materials are highly accurate and stable, even for complex multi-connection models.
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用于 FGM 三维瞬态传热分析的新型无反转 Padé 系列扩展 SCTBEM
本研究提出了一种新颖的比例坐标变换边界元方法(SCTBEM),用于解决三维(3D)功能梯度材料的瞬态传热问题。为了在求解瞬态问题时只计算一次系数矩阵,采用了拉普拉斯算子的基本解来推导边界域积分方程。为了保持边界元法在降维方面的优势,本研究采用了 Yu 等人提出的 SCT 技术,将域积分转化为边界积分。为了确定高精度的热通量,本研究引入了双插值技术,仅从面元素的内部节点推导积分方程,从而统一了角问题,实现了自由度的凝聚。值得注意的是,本研究通过帕代展开建立了一阶常微分方程的精确积分解,无需矩阵反演,提高了求解的精度和效率。数值结果表明,即使是复杂的多连接模型,三维功能梯度材料的温度和热通量都具有很高的精度和稳定性。
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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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