题 目：Inverse-design considerations of Boltzmann-equation based CFD methods for continuum flows
报告人：Lian-Ping Wang教授 南方科技大学
时间：2023年4月28日星期五下午14:00
地点：上海大学延长校区力学所200学术报告厅
腾讯会议直播：430-502-769
专家简介
Dr. Lian-Ping Wang received a Batchelor’s degree in Mechanics from Zhejiang University, Hangzhou, China in 1984, and a PhD in Mechanical Engineering from Washington State University in 1990. He was then a Visiting Research Associate at Brown University from 1990 to 1992, after which he was a Research Associate at Pennsylvania State University from 1992 to 1994. He was a faculty member in the Department of Mechanical Engineering at the University of Delaware from 1994 to 2020. In 2017, he was appointed a Chaired Professor at Southern University of Science and Technology, China. Dr. Wang’s areas of expertise include computational fluid dynamics, turbulence, particle-laden flow and immiscible multiphase flow. In recent years, he has focused on the development of mesoscopic CFD methods and its application in direct numerical simulation of complex flows. Dr. Wang is an elected Fellow of American Physical Society and an elected Fellow of American Society of Mechanical Engineers. He became Associate Editor of Journal of Fluid Mechanics in May 2022.
摘要信息
Boltzmann-equation based methods such as the lattice Boltzmann method (LBM) and the discrete unified gas kinetic scheme (DUGKS) now play a major role in computational fluid dynamics, due to their simplicity in formulation, feasibility in incorporating microscopic physics, low numerical dissipation, and advantages in parallel implementation. In most cases, they are used to simulate continuum flows, namely, as alternative methods for solving the Navier-Stokes-Fourier system or multiphase flow systems. In this sense, Boltzmann-equation based methods are methods deigned in a high-dimension configuration space, which bear both advantages and drawbacks. The design of the model Boltzmann equations for the interior nodes and the implementation of hydrodynamic boundary conditions at the boundary nodes are two major considerations that determine their accuracy and numerical stability. The design details are not unique, and merits and issues in these should be carefully analyzed. In this talk, I shall discuss and illustrate these aspects from theoretical viewpoints, together with various simulation results.
