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Visual Simulation and Analysis of Fluid Flows
Date: 2015/12/17             Browse: 342

Speaker: Xiaopei Liu

Time: Dec 17, 4:00pm - 5:00pm.

Location: Lecture hall, Administration Center

Abstract:

In this talk, I will present some of my previous as well as the on-going projects about the visual simulation and analysis of fluid flows, with a brief background introduction on fluid dynamics and computer graphics. Among various flow phenomena in our daily life, we will focus on the turbulent flows: their numerical simulation, visualization, and analysis. Rather than relying on the traditional Navier-Stokes model equations and the related numerical solvers such as finite volume and finite elements, we shift our focus to the easier-to-solve lattice Boltzmann equations, which are considered as an alternative numerical solver that approximates the Navier-Stokes equations asymptotically. We then show how to make it applicable to have a stable simulation based on the lattice Boltzmann equations for single phase and multi-phase phenomena, with a demonstration of 3D rendered smoke and water flows. Based on the turbulent flow simulation dataset, we can perform visual analysis for the scientific study of turbulence structures, where we focus on the multi-scale phenomena and propose an efficient scale decomposition solver to visualize multi-scale structures of turbulent flows. Finally, in addition to dealing with classical flows, we also study quantum flow vortex dynamics, where we explore steady vortex lattice formation by numerical simulation and visualization, as well as dynamic vortex-vortex interaction and the subsequent quantum turbulence by a new circulation-based visualization technique.

Bio:

Xiaopei Liu received his Ph.D. degree in computer science and engineering from the Chinese University of Hong Kong in 2010. He then worked as a research fellow at Nanyang Technological University in Singapore. His current research interests cover the multi-disciplinary area among computer graphics, fluid dynamics, scientific visualization, and GPU-based parallel computing. He has been intensively collaborated with researchers and scientists from fluid mechanics and physics fields for both applied and theoretical research. Previously, he also did work on image analysis and synthesis, with a focus on illumination estimation and texture analysis. His publications include journals across different disciplines, such as ACM Transactions on Graphics; IEEE Transactions on Visualization and Computer Graphics; AIP Physics of Fluids; as well as APS Physical Review D. Xiaopei Liu is also doing research and engineering work on small-scale UAV control and design, as well as the underlying software system development.

SIST-Seminar 15054