文章基本信息

标题：Adaptive Embedded Unstructured Grid Methods.
本地全文：下载
作者：Rainald Löhner ; Juan Cebral ; Marcelo Castro 等
期刊名称：Mecánica Computacional
印刷版ISSN：2591-3522
出版年度：2006
页码：29-44
语种：English
出版社：CIMEC-INTEC-CONICET-UNL
摘要：A simple embedded domain method for node-based unstructured grid solvers is presented. The key modification of the original, edge-based solver is to remove all geometryparameters (essentially the normals) belonging to edges cut by embedded surface faces. Several techniques to improve the treatment of boundary points close to the immersed surfaces are explored. Alternatively, higher-order boundary conditions are achieved by duplicating crossed edges and their endpoints. Adaptive mesh refinement based on proximity to or the curvature of the embedded CSD surfaces is used to enhance the accuracy of the solution. User-defined or automatic deactivation for the regions inside immersed solid bodies is employed to avoid unnecessary work. Recent work has led to a notable improvement in speed via suitable data structures, the option to treat dispersed particles in the context of embedded surfaces, a direct link to Discrete Particle Methods (DPM), a volume to surface meshing technique that obtains bodyfitted grids by post-processing adaptive embedded grids; and links to simplified CSD models. Several examples are included that show the viability of this approach for inviscid and viscous, compressible and incompressible, steady and unsteady flows, as well as coupled fluid-structure problems.
其他摘要：A simple embedded domain method for node-based unstructured grid solvers is presented. The key modification of the original, edge-based solver is to remove all geometryparameters (essentially the normals) belonging to edges cut by embedded surface faces. Several techniques to improve the treatment of boundary points close to the immersed surfaces are explored. Alternatively, higher-order boundary conditions are achieved by duplicating crossed edges and their endpoints. Adaptive mesh refinement based on proximity to or the curvature of the embedded CSD surfaces is used to enhance the accuracy of the solution. User-defined or automatic deactivation for the regions inside immersed solid bodies is employed to avoid unnecessary work. Recent work has led to a notable improvement in speed via suitable data structures, the option to treat dispersed particles in the context of embedded surfaces, a direct link to Discrete Particle Methods (DPM), a volume to surface meshing technique that obtains bodyfitted grids by post-processing adaptive embedded grids, and links to simplified CSD models. Several examples are included that show the viability of this approach for inviscid and viscous, compressible and incompressible, steady and unsteady flows, as well as coupled fluid-structure problems.