A Genetic Algorithm (GA) is used in combination with a LES model to identify eddy viscosity coefficients in pre-selected regions of channel flow. The associated objective function depends on measured values of concentration of an inert tracer and the GA is used to compute the unknown parameters in increasingly many sub-regions of the flow. The paper investigates the optimal location and timing of the measuring sensors and compares the results with full LES calculations, thus providing guidelines for experiment design.
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