Conference proposal: International Symposium on High-Order Methods for Computational Fluid Dynamics (San Diego, CA, July 26-30, 2015)

来自世界各地的计算数学和计算流体力学领域的杰出和年轻科学家将参加这次研讨会，他们将讨论未来的研究方向和研究挑战，如果严格解决这些问题，将对技术产生重大影响。对复杂几何形状的流体动力学进行更好的计算建模可以提高对航空航天和海军应用、生物医学应用、风能生产和节能等方面的一些工程问题的理解。该提案寻求资金，用于支付2015年7月26日至30日在加利福尼亚州圣地亚哥举行的题为“2015计算流体动力学高阶方法国际研讨会”的演讲者和学生参与者的部分旅费。本次国际研讨会强调了解决复杂几何流体问题的高阶计算数学方法的基本发展。会议将着重讨论激波捕捉的稳健和精确方法的发展；湍流模拟(大涡模拟和雷诺平均Navier-Stokes模拟)的高效方法；用曲面单元生成高阶计算网格和解决壁流物理问题；移动和变形网格以实现流固结构相互作用的高保真模拟；使用更高效的计算机体系结构和GPU系统实施高阶方法；以及使用高阶方法预测新的流动物理。

The symposium will be attended by both prominent and young scientists in computational mathematics and computational fluid dynamics from around the world, who will be discussing future directions of research and research challenges that, if addressed rigorously, would have a strong impact in technology. Better computational modeling of fluid dynamics in complicated geometries can lead to improved understanding of a number of engineering problems in aerospace and naval applications, biomedical applications, wind energy production and energy conservation, etc.The proposal seeks funds to partially cover travel expenses of speakers and student participants to the conference entitled, "2015 International Symposium on High-Order Methods for Computational Fluid Dynamics", to be held in San Diego, CA, during July 26-30, 2015. This international symposium emphasizes the fundamental development of high-order computational mathematics methods for solving fluid problems with complex geometry. The meeting will emphasize the development of methods for robust and accurate methods for shock capturing; efficient methods for turbulence modeling (Large Eddy Simulations and Reynolds Averaged Navier-Stokes simulations); high-order computation mesh generation with curved elements and resolving wall flow physics; moving and deforming grids to enable high-fidelity simulation of fluid-structure interaction; implementing high-order methods using more efficient computer architectures and GPU systems; and using high-order methods for predicting new flow physics.