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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.

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  • Center for the Simulation of Advanced Rockets (en)
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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. (en)
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  • http://commons.wikimedia.org/wiki/Special:FilePath/CSAR_logo.jpg
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  • 1997 (xsd:integer)
  • University of Illinois at Urbana-Champaign (en)
  • Approx. 80 Faculty, Staff, and Students (en)
  • Computational Science and Engineering (en)
  • Develop accurate computation models of solid-state rocket propellant systems (en)
  • Fluids and Combustion Structures and Materials Computer Science System Integration Uncertainty Integration (en)
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  • CSAR (en)
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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 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. 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. (en)
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