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The Center for Simulation of Advanced Rockets (CSAR) is an interdisciplinary research group at the University of Illinois at Urbana-Champaign, and is part of the United States Department of Energy's Advanced Simulation and Computing Program. CSAR's goal is to accurately predict the performance, reliability, and safety of solid propellant rockets.〔(CSAR Homepage ) Retrieved October 10, 2008〕 CSAR was founded in 1997 as part of the Department of Energy's Advanced Simulation and Computing Program. The goal of this program is to "enable accurate prediction of the performance, reliability, and safety of complex physical systems through computational simulation." CSAR extends this motive into the realm of solid rocket propellants, specifically those used by the Space Shuttle. 〔(About CSAR ) Retrieved October 10, 2008〕 CSAR aims to be able to simulate entire rocket systems, under normal and abnormal situations. This involves highly accurate modeling of components and dynamics of fuel flow and other environmental factors. Modeling this requires large computational power, on the order of thousands of processors. Development of the computational infrastructure is critical in achieving their goal.〔 == Areas of research == There are several fields researched by CSAR.〔(Basic Research at CSAR ) Retrieved October 10, 2008〕 Physical simulations are implemented in CSAR's Rocstar software suite. *Fluids and combustion - The study of how a rocket's fuels are ignited and directed in such a way as to provide thrust. * * Multiphase Flow * * Turbulence Modeling * * Multiscale Acceleration (via "time zooming") * * Propellant Morphology/characterization * * Propellant combustion modeling * Structures and Materials - Analysis of the physical structure of a rocket * * Constitutive and damage modeling * * Crack propagation * * Multiscale materials modeling * * Molecular modeling of material interfaces * * Space-time discontinuous Galerkin Methods * Computer Science - Development of advanced simulation and visualization tools * * Parallel programming environments * * Parallel I/O * * Parallel performance modeling and prediction * * Meshing * * Hybrid geometric/topological mesh partitioner * * Visualization * System Integration - Bringing the available tools and resources together in an efficient manner * * Object-oriented integration framework * * Flexible parallel orchestration * * Stable component coupling and time-stepping * * Accurate and conservative data transfer based on common refinement * * Stable and efficient surface propagation * Uncertainty Quantification - Determining accuracy and confidence in simulation results * * Clustering techniques for sampling-based Uncertainty Quantification 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Center for the Simulation of Advanced Rockets」の詳細全文を読む スポンサード リンク
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