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

湍流、控制和结构设计中多物理场问题的高性能仿真

• 批准号: 9725004
• 负责人: Carlos Felippa
• 金额: $ 197.53万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-10-01 至 2002-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9725004&HistoricalAwards=false
• 关键词: Performance; Simulation; Multiphysics; Problems; Turbulence

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.

该研究计划将解决耦合流体力学，传热，结构和控制动态模型的多物理问题的高性能并行模拟。 该计划需要工程，计算机科学和计算数学研究人员的密切合作。 工程活动是由模拟驱动的，在高性能并行计算机上，涉及航空航天，土木和机械工程重要学科的物理模型的动态交互问题。 这类问题的四个具体应用将被考虑：在高温发动机的湍流涡量的缓解;在管道弯曲的高湍流的研究，使用主动和半主动控制，以保障复合材料结构在民用和航空航天工程;和拓扑/形状结构设计和优化气动弹性设计的实施。 这些应用是统一的多学科性质，涉及至少两个机械领域，在建模，可视化，问题分解，并行仿真方法和软件/硬件基础设施的共同基础上使用。 在计算机科学的研究将集中在开发一个问题求解环境（PSE）的应用问题，这是适合大规模多物理场模拟的并行实现。 PSE的主要目标是提供对在异构和/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。 PSE的以下应用将被调查：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，和计算转向和调试。 此外，我们建议在高速网络中的服务质量协议与我们的分布式对象系统，以提供一个真正的实时分布式环境，并调查数值算法的最佳内存访问使用PSE，以方便分布式性能分析。 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。 该项目将为学生和博士后在跨学科环境中的培训提供独特的机会。 整个研究小组的每周例会将向所有研究人员介绍所涉及问题的广度，并允许学生找到合适的论文主题。 将鼓励学生有来自研究团队代表的两个学科领域的顾问，每个学生将与一名博士后学生配对作为导师。