Farhad Davoudzadeh

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The mixing performance of multiple transverse jets has been evaluated experimentally. Measurement techniques included laser Doppler velocimetry and planar laser induced fluorescence. Basic findings are consistent with results presented in literature for single jet mixing behavior. Mixing performance has been compared to literature for the single jet case(More)
Recurrent and feedforward neural networks were studied and compared for their ability to adequately capture dynamics from a physics-based computational model of submarine maneuvering dynamics. The comparison was done using one trajectory of a rise maneuver. Very good approximation was achieved with recurrent neural networks. The results with modular(More)
Behavior of unconfined transverse jets has been studied extensively, but little work is reported on the flow characteristics of confined transverse jets. The latter has been numerically investigated using a number of RANS codes. The computational results obtained from these codes have been evaluated against the existing experimental data, and an LES results(More)
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