2007•Journal of Environmental Engineering (Transactions of AIJ)Open access

AUTOMATIC CARTESIAN GRID GENERATION FOR CFD ANALYSIS OF WIND ENVIRONMENT : Automatic generation of cost-effective grid using adaptive mesh refinement Part 2

Masashi Imano, Naoki OHNISHI, Motoyasu Kamata, Yuzo Sakamoto

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Abstract

We perform adaptive mesh refinement (AMR) using the Residual error estimation method for two dimensional laminar backward-facing step flow and three dimensional turbulent flow around a low-rise building. In addition to that we make parametric studies about control parameters for AMR and examine relationship between error of calculated flow and number of ells on meshes generated by AMR. Consequently we reveal that we can generate cost-effective grid automatically for the above flow cases by performing directional AMR using appropriate control parameters even if we have very few knowledge about mesh generation technique for computational fluid dynamics simulation.

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We perform adaptive mesh refinement (AMR) using the Residual error estimation method for two dimensional laminar backward-facing step flow and three dimensional turbulent flow around a low-rise building. In addition to that we make parametric studies about control parameters for AMR and examine relationship between error of calculated flow and number of ells on meshes generated by AMR. Consequently we reveal that we can generate cost-effective grid automatically for the above flow cases by performing directional AMR using appropriate control parameters even if we have very few knowledge about mesh generation technique for computational fluid dynamics simulation.

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Available abstract

We perform adaptive mesh refinement (AMR) using the Residual error estimation method for two dimensional laminar backward-facing step flow and three dimensional turbulent flow around a low-rise building. In addition to that we make parametric studies about control parameters for AMR and examine relationship between error of calculated flow and number of ells on meshes generated by AMR. Consequently we reveal that we can generate cost-effective grid automatically for the above flow cases by performing directional AMR using appropriate control parameters even if we have very few knowledge about mesh generation technique for computational fluid dynamics simulation.

Key concepts: Mesh generation, Adaptive mesh refinement, Computer science, Polygon mesh, Laminar flow, Grid, Computational fluid dynamics, Parametric statistics

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