SOR緩和係数のゆらぎ適応制御による二次元熱対流計算の高速化

概要

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An adaptive fuzzy reasoning strategy was studied to obtain fast convergence for a 2D incompressible Navier-Stokes solver. In this study, this reasoning was applied to control of the relaxation factor when the Poisson equation was solved by the point SOR method. Normalized residual and relaxation factors themselves were used for input parameters to the control map or lookup table. Several maps optimized for different flow conditions were prepared, and selected almost randomly. This map-selecting strategy made it possible for the flow solver to carry out fast and stable calculation. Two-dimensional thermal convection was used to examine the effectiveness of this scheme, and the solutions obtained with and without adaptive control were nearly equal.
一般社団法人日本機械学会の論文
1994-07-25