Department of Mechanical and Aerospace Engineering Seminar - Kinetic energy and entropy preserving (KEEP) schemes for high-fidelity computations of compressible flows

2:30pm - 3:30pm
LT-F , HKUST
This talk will present kinetic energy and entropy preserving (KEEP) schemes, non-dissipative and stable numerical schemes developed for high-fidelity computations of shock-free compressible flows. The research group that I previously belonged to recently succeeded in conducting LES of the flow around whole aircraft configurations, using the KEEP schemes and an LES wall model. In general, flow computations become unstable when non-dissipative numerical schemes are used. The KEEP schemes, however, have performed stable computations of compressible flows without the aid of artificial viscosity, thanks to their superior kinetic-energy and entropy preserving property. The KEEP schemes have been developed for different types of computational grids, such as block-structured Cartesian grids, curvilinear grids, and unstructured grids, so they can be applied to complex geometries. In addition to the KEEP schemes, recent research works about quantum computations will also be briefly presented.
讲者/ 表演者:
Prof. Yuichi KUYA
Associate Professor in Department of Aerospace Engineering at Tohoku University, Japan

Dr. Yuichi KUYA is an Associate Professor in Department of Aerospace Engineering at Tohoku University in Japan. He obtained a Bachelor and Master (two-year research program) degrees at Osaka University in Japan, conducting experimental studies in heat transfer. He then completed his PhD degree study at the University of Southampton in the U.K., experimentally and numerically studying ground effect aerodynamics and surrogate modeling.

After working as a postdoctoral research fellow at the University of Southampton, he joined the Mercedes-AMG PETRONAS F1 Team as a CFD Aerodynamicist and designed a number of F1 aerodynamic parts. He moved to Tohoku University in Japan as an Assistant Professor in 2016 and became an Associate Professor in 2022.

His current research and teaching interests are computational fluid dynamics (CFD), aerodynamics, quantum computation, and optimization.

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英文
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研究生
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Department of Mechanical & Aerospace Engineering
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