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Solving the advection-diffusion equation in irregular geometries is of great importance for realistic simulations. To this end, we adopt multi-patch parameterizations to describe irregular geometries. Different from the classical multi-patch parameterization method, $C^1$-continuity is introduced in order to avoid designing interface conditions between adjacent patches. However, singularities of parameterizations can't always be avoided. Thus, in this paper, a finite volume method is proposed based on smooth multi-patch singular parameterizations. It is called a singular parameterized finite volume method. Firstly, we present a numerical scheme for pure advection equation and pure diffusion equation respectively. Secondly, numerical stability results in $L^2$ norm show that the numerical method is not suffered from the singularities. Thirdly, the numerical method has second order accurate in $L^2$ norm. Finally, three numerical tests in different irregular geometries are presented to show efficiency of this numerical method.
}, issn = {1991-7139}, doi = {https://doi.org/10.4208/jcm.1807-m2017-0029}, url = {http://global-sci.org/intro/article_detail/jcm/13036.html} }Solving the advection-diffusion equation in irregular geometries is of great importance for realistic simulations. To this end, we adopt multi-patch parameterizations to describe irregular geometries. Different from the classical multi-patch parameterization method, $C^1$-continuity is introduced in order to avoid designing interface conditions between adjacent patches. However, singularities of parameterizations can't always be avoided. Thus, in this paper, a finite volume method is proposed based on smooth multi-patch singular parameterizations. It is called a singular parameterized finite volume method. Firstly, we present a numerical scheme for pure advection equation and pure diffusion equation respectively. Secondly, numerical stability results in $L^2$ norm show that the numerical method is not suffered from the singularities. Thirdly, the numerical method has second order accurate in $L^2$ norm. Finally, three numerical tests in different irregular geometries are presented to show efficiency of this numerical method.