Dr. Meilin Yu, Assistant Professor, ME Department
Friday, October 25, 2019 · 2:30 PM - 3:30 PM
High-order Computational Fluid Dynamics: New Algorithms, Flow Physics Discovery and High Performance Computing
Assistant Professor, Department of Mechanical Engineering
Computation, which has firmly established itself as the third pillar of scientific inquiry, joining experimentation and theory, plays an important role in acquiring the understanding of complex engineering systems. This talk presents the recent efforts in the Computational Mechanics Lab at UMBC on the development of high-order accurate computational fluid dynamics (CFD) methods and their applications to physics discovery from complex fluid flows.
In the field of CFD, the persistent pursuit of accurate and efficient simulation of increasingly complex flow problems has pushed traditional low-order (order of accuracy smaller than or equal to two) finite volume methods to challenging limits. High-order CFD methods have been gaining popularity due to their great potential to achieve the desired simulation accuracy with lower computational cost compared to their low-order counterparts. This is critical in many engineering/science fields such as bio-inspired vortex-dominated flows, turbulent flows, aeroacoustics, and non-hydrostatic atmospheric modeling. In this talk, recent efforts in the speaker’s group on addressing several challenges in high-order CFD will be presented first. These include novel CFD algorithm development and high performance computing for complex flow systems. Flow physics discovery with high-fidelity CFD simulation from highly unsteady flapping wing/fin aero-hydrodynamics and wind energy harvesting will then be discussed. After that, uncertainty quantification and reduced-order modeling of complex fluid flows, assisted by high-fidelity CFD, are introduced. Future research directions will be discussed at the end of the talk.
Dr. Meilin Yu is an assistant professor from the department of mechanical engineering at the University of Maryland, Baltimore County (UMBC). He earned his Ph.D. in Aerospace Engineering from Iowa State University in 2012. After that, he conducted post-doctoral research at the University of Kansas before joining UMBC. His research areas include high-order CFD methods for the Navier-Stokes equations, uncertainty quantification of complex dynamical systems, high performance computing on massively parallel architectures, and their applications in multidisciplinary engineering/science problems, such as bio-inspired aero-hydrodynamics, renewable energy harvesting, biological flow modeling, and nonhydrostatic mesoscale atmospheric modeling. Currently, the research in his group is funded by ONR, NSF, TEDCO, MHEC, and UMBC.