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Introducing an Improved Multi-block Method for Turbulent Flows

A major part of the flow field has no complicated turbulent behavior in many turbulent flows. In order to reduce memory and CPU time, the flow field was decomposed to several blocks in which different turbulence models were employed. A two dimensional backward facing step was considered in this research. Four combinations of the Prandtl mixing length and standard k-E models were implemented In addition to the numerical convergence and accuracy of the results obtained, computer memory usage and CPU time consumption were investigated Comparisons showed that employing a suitable combination of the turbulence models for individual blocks led to the results which were as accurate as those resulting from the application of high order turbulence model for all of them. The results revealed that the memory usage and CPU time were considerably decreased.