Kinetic Energy and Entropy Preserving (KEEP) Schemes for High-fidelity Computations of Compressible Flows

Abstract

This seminar will present kinetic energy and entropy preserving (KEEP) schemes, which are non-dissipative and stable numerical schemes developed for high-fidelity computations of shock-free compressible flows. The research group that Dr Kuya previously belonged to, has  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.

Speaker

Dr Yuichi Kuya is an Associate Professor in the Department of Aerospace Engineering at Tohoku University in Japan. He obtained his Bachelor's and Master's degrees (a two-year research program) from Osaka University in Japan, where he conducted experimental studies in heat transfer. He later completed his PhD degree at the University of Southampton in the UK, where his research focused on ground effect aerodynamics and surrogate modeling, combining experimental and numerical approaches. Following his postdoctoral research fellowship at the University of Southampton, Dr Kuya joined the Mercedes-AMG PETRONAS F1 Team as a CFD Aerodynamicist, contributing to the design of various Formula 1 aerodynamic components. In 2016, he moved to Tohoku University in Japan as an Assistant Professor and was promoted to the position of Associate Professor in 2022. Dr Kuya's current research and teaching interests encompass computational fluid dynamics (CFD), aerodynamics, quantum computation, and optimization.