期刊
IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 13, 期 1, 页码 42-47出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2004.839656
关键词
adaptive-network-based fuzzy inference system (ANFIS); computational fluid dynamics (CFD); computational fluid mechanics; convergence; relaxation factors
Adaptive-network-based fuzzy inference system (ANFIS) was used to control convergence of a computational fluid dynamics (CFD) algorithm. Normalized residuals were used to select the relaxation factors on each iteration of the computation. The ratio between the residual of the current iteration and of the previous iteration was used as a control input. ANFIS was designed to keep the tuning index at or near one throughout the fluid dynamics simulation. The finite volume CFD algorithm SIMPLER was used as the platform for this study. Four different benchmark cases were examined.
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