Integrating angular and domain decomposition with space-angle discontinuous Galerkin methods in 2D radiative transfer

IF 2.3 3区 物理与天体物理 Q2 OPTICS Journal of Quantitative Spectroscopy & Radiative Transfer Pub Date : 2024-10-02 DOI:10.1016/j.jqsrt.2024.109208
Hang Wang , Md Ershadul Haque , Reza Abedi , Saba Mudaliar
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Abstract

A space-angle discontinuous Galerkin (saDG) method is used to solve the steady-state radiative transfer equation (RTE) for 2D problems involving absorption, emission, and scattering for a semitransparent medium. This approach discretizes both spatial and angular domains. Parallel computing is based on angular decomposition (AD), and domain decomposition (DD) techniques. The DD technique directly solves the entire domain using the MUMPS library, whereas the AD technique results in an iterative approach for scattering media. This study proposes a novel hybrid AD-DD method, combining the best aspects of both techniques. Numerical results investigate the scalability, performance, and efficiency of AD and DD techniques. It is shown that a hybrid AD-DD technique is superior to these individual techniques by taking advantage of their strengths. Numerical methods demonstrate the applicability of the method of the best combination of hybrid AD-DD to 2D scattering gray media with complex geometries or enclosures with circular and square obstacles.
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二维辐射传输中的角度和域分解与空间角不连续伽勒金方法的整合
采用空间-角度非连续伽勒金(saDG)方法求解稳态辐射传递方程(RTE),以解决半透明介质的吸收、发射和散射等二维问题。这种方法对空间域和角度域都进行了离散处理。并行计算基于角分解(AD)和域分解(DD)技术。DD 技术使用 MUMPS 库直接求解整个域,而 AD 技术则是针对散射介质的迭代方法。本研究提出了一种新颖的 AD-DD 混合方法,结合了两种技术的优点。数值结果研究了 AD 和 DD 技术的可扩展性、性能和效率。结果表明,AD-DD 混合技术利用了这两种技术的优势,优于单独的技术。数值方法证明了混合 AD-DD 最佳组合方法适用于具有复杂几何形状或具有圆形和方形障碍物的二维散射灰色介质。
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来源期刊
CiteScore
5.30
自引率
21.70%
发文量
273
审稿时长
58 days
期刊介绍: Papers with the following subject areas are suitable for publication in the Journal of Quantitative Spectroscopy and Radiative Transfer: - Theoretical and experimental aspects of the spectra of atoms, molecules, ions, and plasmas. - Spectral lineshape studies including models and computational algorithms. - Atmospheric spectroscopy. - Theoretical and experimental aspects of light scattering. - Application of light scattering in particle characterization and remote sensing. - Application of light scattering in biological sciences and medicine. - Radiative transfer in absorbing, emitting, and scattering media. - Radiative transfer in stochastic media.
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