2019-2020 MIAE Graduate Seminar Series
Time & Location
About The Event
MIAE Graduate Seminar given by Dr. Brain Vermeire from Concordia University
Next-generation aircraft must be significantly cleaner and quieter to alleviate the environmental impacts of aviation. In order to achieve this, the design of future aircraft will require a novel set of computational tools that are more accurate, efficient, and stable than current industry-standard methods for aircraft design. In this talk will we will explore recent progress in the development of high-order unstructured methods, specifically the flux reconstruction approach, and new bespoke families of temporal schemes. We will demonstrate that the proposed approach is several orders of magnitude more accurate, and simultaneously at least an order of magnitude faster than current commercial solvers. Furthermore, we will demonstrate that this approach is suitable for modern many-core hardware architectures, with a demonstration simulation on 18,000 GPUs using approximately 50 million compute cores for realistic unsteady aerodynamics applications. We will then discuss recent progress in novel temporal schemes, shock capturing, stabilization, turbulent combustion, and future research directions towards the analysis and design of cleaner and quieter aircraft.
Dr. Brian Vermeire is an Assistant Professor at Concordia University and head of the Concordia Computational Aerodynamics Lab. Prior to joining Concordia he was a Postdoctoral Fellow at Imperial College London and a visiting researcher at both Cambridge University and Central Michigan University. He received his Bachelors and Masters degrees from Western University, and his Doctoral degree from McGill University. His research focuses on novel computational aerodynamics tools for analyzing and optimizing next-generation green aviation technologies at reduced cost and risk. He leads development of HORUS, a High-ORder Unstructured Solver for computational aerodynamics at Concordia University, and is a developer on the open-source PyFR project with collaborators at Imperial College London, Texas A&M, and Tohoku University.