Browsing by Author "Kara, Kursat"
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Computational analysis of sweeping jet actuator using dynamic mode decomposition
Alam, Mobashera (2022-12)A sweeping jet actuator (SJA) is a self-sustaining, periodically oscillating device without involving any moving parts. SJA requires only pressurized fluid at the inlet to transfer momentum via the Coanda effect. As an ... -
Experimental observation of boundary layer and movement of topographically varying desert dunes with unmanned systems
Ray, Kerrick (2022-12)Desert dunes offer unique geophysical interactions, and these eolian dominant interactions occur over a significant portion of earth surfaces. There are multiple factors that determine the direction and shape of these ... -
Identification of physical processes via data driven methods
Vaddireddy, Harsha Vardhan Reddy (2020-05)Extracting governing equations from data can be viewed as reverse engineering of Nature- using data to identify the physical laws/models. This approach is crucial for fields where data is abundant ( such as geophysical ... -
Investigation of airflow around buildings using Large-Eddy Simulations for Unmanned Aircraft Systems applications
Landua, Tyler R.; Vuppala, Rohit K. S. S.; Kara, Kursat (American Institute of Aeronautics and Astronautics, 2022)The ever-increasing demand for Unmanned Aircraft Systems (UAS) has led to the desire for integrating them into spaces in close proximity of humans like dense urban spaces, a reality previously thought of as inconceivable. ... -
Investigation of lightweight concepts for low-frequency performance enhancement in acoustic liners
Svetgoff, Alexander A. (2021-05)Acoustic liners are extensively used to reduce noise emitted by aircraft engines. However, conventional acoustic liners are largely ineffective for low-frequency noise content (<~1000 Hz) due to impractical mass and volume ... -
Model-data fusion in digital twins of large scale dynamical systems
Ahmed, Shady E. (2022-07)Digital twins (DTs) are virtual entities that serve as the real-time digital counterparts of actual physical systems across their life-cycle. In a typical application of DTs, the physical system provides sensor measurements ... -
Physics-guided machine learning for turbulence closure and reduced-order modeling
Pawar, Suraj (2022-07)A recent advance in scientific machine learning has started to show promising results in fluid mechanics. Despite their early success, the application of data-driven methods to turbulent flow simulation is non-trivial due ... -
Towards exascale DNS solver for hypersonic boundary-layer receptivity to solid particulates
Oz, Furkan; Kara, Kursat (Oklahoma State University, 2020-04-17)Development in hypersonic vehicles is dependent on the prediction of hypersonic boundary-layer transition location from a laminar to turbulent state because aerodynamic heating, drag force, engine performance, and vehicle ...