报告一：

    报告题目：Progress of Reconstructed Discontinuous Galerkin Methods for Computational Fluid Dynamics
    报告人：Dr. Hong Luo (North Carolina State University, USA)
    报告时间：2015年7月27日周一上午9：30
    报告地点：力学所一号楼312会议室

    报告摘要：
    Our recent progress on the development of higher-order reconstructed discontinuous Galerkin
    (rDG) methods for computational fluid dynamics (CFD) will be presented. The idea behind rDG
    methods is to combine the efficiency of the reconstruction methods in finite volume methods and
    the accuracy of the DG methods to obtain a better numerical algorithm in computational fluid
    dynamics. The beauty of the resulting rDG methods is that they provide a unified formulation for
    both finite volume and DG methods, and contain both classical finite volume and standard DG
    methods as two special cases of the rDG methods, and thus allow for a direct efficiency
    comparison. In our latest work, a reconstructed discontinuous Galerkin method based on a
    Hierarchical WENO reconstruction, termed HWENO(P1P2), designed not only to enhance the
    accuracy of discontinuous Galerkin methods but also to ensure the nonlinear stability of the rDG
    method, is presented to solve compressible flow problems at all speeds on hybrid grids. The
    developed HWENO(P1P2) method is used to compute a variety of flow problems on hybrid
    meshes to demonstrate its accuracy, robustness, and non-oscillatory property. The numerical
    experiments indicate that the HWENO(P1P2) method is able to capture shock waves within one
    cell without any spurious oscillations, and achieve the designed third-order of accuracy: one
    order accuracy higher than the underlying DG method, indicating the potential of this rDG
    method to become a viable, competitive, and perhaps superior DG method over existing FV and
    DG methods for computational fluid dynamics. Our latest work on the extension of the rDG
    methods to the incompressible flows and the porting of the rDG methods on GPUs will also be
    discussed.

    报告人简介：
    Dr. Hong Luo is a professor in the Department of Mechanical and Aerospace Engineering at
    North Carolina State University. He received his Ph.D. in Applied Mathematics from Pierre and
    Marie Curie University (University of Paris 6) in France in 1989. Prior to joining NC State in
    2007, he worked as a post-doctoral research associate at Purdue University from 1989 to 1991
    and as a senior research scientist at Science Applications International Corporation from 1991 to
    2007. His current research interests include: Computational Fluid Dynamics, Computational
    Aeroacoustics, and Computational mgnetohydrodynamics; Reconstructed Discontinuous
    Galerkin Methods on Unstructured Hybrid Grids; High Performance Computing on Hybrid
    CPU/GPU Architectures; Moving Boundary Problems and Fluid-Structure Interaction; Large
    Eddy Simulation of Turbulent Flows; Multi-phase Flows and Chemically Reactive Flows;
    Geometry Modeling, Unstructured Grid Generation, and Grid Adaptation. His research activities
    have been and are supported by NASA, AFSOR, DOE, Idaho National Laboratory, Navy, Army,
    NSF, DTRA, and others. Currently, he leads a research group of 2 postdoctoral researchers, 6
    PhD graduates, and 2 MS students at NC State.

报告二：

    报告题目：Development of Advanced Flow Diagnostic Techniques to Study Complex Thermal/Fluids Phenomena
    报告人：Dr. Hui Hu (Iowa State University, USA)
    报告时间：2015年7月27日周一上午10：30
    报告地点：力学所一号楼312会议室

 

报告摘要：
    The talk will start with the description of the recent progress made by the speaker in developing a novel molecule-based flow diagnostic technique, named as Molecular Tagging Velocimetry and Thermometry (MTV&T), for simultaneous measurements of flow velocity and temperature distributions in fluid flows. Unlike most commonly-used particle-based flow diagnostic techniques such as Particle Image Velocimetry (PIV), MTV&T utilizes specially-designed phosphorescent molecules, which can be turned into long-lasting glowing marks upon excitation by photons of appropriate wavelength, as the tracers for both flow velocity and temperature measurements. The unique glamour of the MTV&T technique will be demonstrated from the application examples to study the thermal effects on the wake instabilities behind a heated cylinder, to investigate the unsteady heat transfer and phase changing process within micro-sized icing water droplets, and to quantify the transient behavior of the surface water transport process over airfoil surfaces pertinent to aircraft icing and de-/anti-icing applications. The recent research of the speaker’s group on wind turbine aeromechanics and wake interferences among multiple wind turbines sited in onshore and offshore wind farms will also be introduced briefly for higher total power yield and better durability of wind turbines operating in turbulent atmospheric boundary layer (ABL) winds.

报告人简介：
    Dr. Hui Hu is a Professor of Aerospace Engineering at Iowa State University. Dr. Hu’s recent research interests include aircraft icing and anti-icing/de-icing technology; wind energy and wind turbine aeromechanics; film cooling, trailing edge cooling and thermal management of gas turbines; unsteady aerodynamics and bio-inspired aerodynamic designs for micro-air-vehicle (MAV) applications; micro-flows and micro-scale heat transfer in microfluidics or “Lab-on-a-Chip” devices; fluid-structure interactions of built structures in violent winds such as tornados, microbursts and storms. Dr. Hu received several prestigious awards in recent years, including 2006 NSF-CAREER Award, 2007 Best Paper in Fluid Mechanics Award (Measurement Science and Technology, IOP Publishing), 2009 AIAA Best Paper Award in Applied Aerodynamics, 2012 Mid-Career Achievement in Research Award of Iowa State University, 2013 AIAA Best Paper Award in Ground Testing Technology, and 2014 Renewable Energy Impact Award of Iowa Energy Center. Further information about Dr. Hu’s technical background and recent research activities is available at: http://www.aere.iastate.edu/~huhui/