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何晓明博士学术报告通知
发布时间 : 2014-05-20     点击量:

 

    应beat365官方网站邀请,美国密苏里理工大学何晓明博士于5月20日来我校访问,并作学术报告。
    报告题目: Multi-physics domain decomposition methods for Stokes-Darcy model
    时       间: 5月20日周二下午 15:00—16:30
    地       点: 理科楼 407
    摘       要: The Stokes-Darcy model arises in many interesting real world applications, including groundwater flows in karst aquifers, interaction between surface and subsurface flows, industrial filtrations, oil reservoir in vuggy porous medium, and so on. This model describes the free flow of a liquid by the Stokes or Navier-Stokes equation and the confined flow in a porous media by the Darcy equation; the two flows are coupled through interface conditions. For the problems mentioned, the resulting coupled Stokes-Darcy model has higher fidelity than either the Darcy or Stokes systems on their own. However, coupling the two constituent models leads to a very complex system.

This presentation discusses multi-physics domain decomposition methods for solving the coupled Stokes-Darcy system. Robin boundary conditions based on the physical interface conditions are utilized to decouple the Stokes and Darcy parts of the system. A parallel iterative domain decomposition method is first constructed for the steady state Stokes-Darcy model with the Beavers-Joseph interface condition. Then two parallel non-iterative domain decomposition methods are proposed for the time-dependent Stokes-Darcy model with the Beavers-Joseph-Saffman interface condition. Numerical examples are presented to illustrate the features of these methods and verify the theoretical results.

报告人简介:
Dr. He Xiaoming obtained his Ph.D degree in 2009 at Virginia Tech. Before He joined Missouri University of Science and Technology as an assistant professor, he was  a postdoctoral research associate (supervised by Professor Max Gunzburger) in Department of Scientific Computing, Florida State University.

Dr. He’s interests are Interface problems, Computational fluid dynamics, stochastic PDEs, domain decomposition methods and so on. Currently he focuses on multi-physics domain decomposition methods for (Navier-)Stokes-Darcy model.

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