High Performance Simulation of Multiphysics Problems in Turbulence, Control, and Structural Design

这项研究计划将解决多物理问题的高性能并行模拟，这些问题耦合了流体力学、传热学、结构和控制中的动态模型。这个项目需要工程学、计算机科学和计算数学领域的研究人员密切合作。工程学的活动是由在高性能并行计算机上模拟涉及航空航天、土木工程和机械工程中重要学科的物理模型动态相互作用的问题来驱动的。这类问题的四个具体应用将被考虑：高温发动机中湍流涡量的缓解；弯管内强湍流流动的研究；在土木工程和航空航天工程中使用主动和半主动控制来保护复合材料结构；以及在气动弹性设计中实施拓扑/形状结构设计和优化。这些应用因其多学科性质而统一，至少涉及两个机械领域，在建模、可视化、问题分解、并行模拟方法和软件/硬件基础设施中使用共同的基础。面向应用问题的问题求解环境(Problem Solving Environment，PSE)的研究将成为计算机科学领域的研究热点，适合大规模多物理模拟的并行实现。PSE的主要目标是提供对在异类和/或分布式系统上执行大型并行应用程序所需的所有资源的透明、可移植和可扩展的访问，包括处理器间通信、对磁盘的访问、可视化、调试和性能监控。S将研究PSE的以下应用：基于网络的分布式对象系统、分布式共享内存系统、并行持久I/O以及计算引导和调试。此外，我们还建议将高速网络中的服务质量协议与我们的分布式对象系统相结合，以提供真正的实时分布式环境，并使用PSE来研究优化存储器访问的数值算法，以促进分布式性能分析。应用问题在建模、计算和软件集成方面相互关联，促进了域分解器和响应可视化等工具的共同使用。该项目将为跨学科背景下的学生和博士后培训提供独特的机会。整个研究小组的每周定期会议将向所有研究人员介绍所涉及的广泛问题，并允许学生找到合适的论文主题。将鼓励学生由研究团队代表的两个学科领域的导师，每个学生将与一名博士后作为导师配对。

This research program will address the high-performance parallel simulation of multiphysics problems that couple dynamic models in fluid mechanics, heat transfer, structures and control. This program requires the close collaboration of researchers in engineering, computer science and computational mathematics. The activities in Engineering are driven by the simulation, on high performance parallel computers, of problems involving the dynamic interaction of physical models from disciplines of importance in aerospace, civil and mechanical engineering. Four specific applications of this class of problems will be considered: the mitigation of turbulent vorticity in high-temperature engines; the study of high turbulent flow in pipe bends, the use of active and semi-active control to safeguard composite structures in civil and aerospace engineering; and the implementation of topology/shape structural design and optimization for aeroelastic design. These application are unified by their multidisciplinary nature which involves at least two mechanical fields, use of a common basis in modeling, visualization, problem decomposition, parallel simulation methodology, and software/hardware infrastructure. The research in Computer Science will focus on the development of a problem Solving Environment (PSE) for the applications problems which is suitable for the parallel implementation of large-scale multiphysics simulations. The primary goal of the PSE is to provide transparent, portable and scalable access to all of the resources needed for execution of large parallel applications on heterogeneous and/or distributed systems, including interprocessor communication, access to disk, visualization, debugging and performance monitoring. The following application s of the PSE will be investigated: network-based distributed object systems, distributed shared memory systems, parallel persistent I/O, and computational steering and debugging. In addition we propose to integrate quality of service protocols in high-speed networks with our distributed object system to provide a true real-time distributed environment, and to investigate numerical algorithms for optimal memory access using the PSE to facilitate distributed performance analysis. The application problems are interconnected in modeling, computational and software integration aspects, facilitating the common use of tools such as domain decomposers and response visualization. This project will provide unique opportunities for the training of students and postdocs in an interdisciplinary setting. Regular weekly meetings of the full research group will introduce all researchers to the breadth of issues involved and will allow students to locate suitable thesis topics. Students will be encouraged to have advisors from two disciplinary areas represented by the research team, and each student will be paired with a postdoctoral student as a mentor.