An efficient interface-capturing approach for multi-phase compressible flows

Prof. Feng Xiao（肖锋）

（Tokyo Institute of Technology）

 

时间：2013年11月18日（周一）上午9:00-11:00

地点：力学所主楼312会议室

邀请人：姜宗林 研究员

报告摘要：

This talk presents an interface-capturing approach for multiphase fluid dynamics. The scheme, so-called THINC (Tangent of Hyperbola for INterface Capturing) method, is an algebraic type VOF (volume of fluid) method, which doesn’t require any geometrical interface reconstruction. The THINC method is able to produce numerical solution to moving interface with good quality comparable to the PLIC type VOF, and easy to implement even for unstructured grids. The THINC scheme can be straightforwardly used as a sharpening approach for efficient numerical resolution of a compressible homogeneous two-phase flow governed by a five-equation model. We use a wave propagation method of fluctuation form as the fluid solver, and use the THINC reconstruction scheme as a basis for the reconstruction of a sub-grid discontinuity of volume fractions at each cell edge.

Numerical results are shown for sample problems with the Mie-Gruneisen equation of state for characterizing the materials of interests in both one and two space dimensions that demonstrate the feasibility of the proposed method for interface-sharpening of compressible two-phase flow.

报告人简介：

Dr. Xiao received his PhD degree from Tokyo Institute of Technology in 1996. He has been working on computational mechanics and physics for over 20 years. He has authored/co-authored over 80 peer-reviewed journal articles (over 1000 citations from ISI Web of Knowledge), 2 books and over 180 presentations in international and Japanese conferences or symposia. He is a recipient of the Computational Mechanics Achievement Award of Japan Society of Mechanical Engineers (2011) and the fellow award of Japan Association for Computational Mechanics (2009). He is currently serving as chair of climate change division of the inter-departmental organization for environment and energy in Tokyo Institute of Technology, and associate editor of Journal of Computational Physics.