Center for the Simulation of Advanced Rockets

CSAR

Founded	1997
Location	University of Illinois at Urbana-Champaign
Department	Computational Science and Engineering
Goal	Develop accurate computation models of solid-state rocket propellant systems
Staff	Approx. 80 Faculty, Staff, and Students
Research Areas	Fluids and Combustion Structures and Materials Computer Science System Integration Uncertainty Integration

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.

Areas of research

There are several fields researched by CSAR. 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

Computation environment

Physical simulations are performed using CSAR's Rocstar suite of numerical solver applications. Rocstar was built by CSAR, and is designed to run efficiently on massively parallel computers. Implementation of Rocstar is done in MPI and is entirely compatible with Adaptive MPI. Rocstar is currently in its third version, Rocstar 3. Documentation on using Rocstar 3 is available through a User's Guide.

CSAR uses a number of supercomputing resources for their simulations. Along with CSAR, the National Center for Supercomputing Applications is located at the University of Illinois at Urbana-Champaign. CSAR takes advantage of the computing environment provided by NCSA for many simulations. The university's department of Computational Science and Engineering has a supercomputing cluster known as Turing, which is also utilized by CSAR.

The computation environment used by CSAR takes advantage of work done by the University of Illinois' Parallel Programming Lab, in particular Charm++ and Adaptive MPI. These parallel programming frameworks allow for application development that scales easily to thousands of processors, which allows for highly complex computations to finish quickly. The Run-time system employed by both Charm++ and AMPI has two primary features that are used by CSAR's software: load-balancing, which helps improve performance by keeping work distributed evenly across all processors, and checkpointing, which allows a lengthy computation to be saved and restarted without having to start over.

Using these highly parallel tools, CSAR's developers have built a number of components which are able to simulate various physical phenomena related to rocket propulsion. Combined, they provide a complete simulation environment. Below is a list of all the Rocstar modules and links to their respective users guides.

Rocstar Modules

Field	Name	User's Manual	Description
Combustion	Rocburn	[1]
Fluids	RocfloMP	[2]
	RocfluMP	[3]
	Roctpart	[4]
	Rocturb	[5]
	Rocrad	[6]
Solids	Rocfrac	[7]
	Rocsolid	[8]
Computer Science	Rocman	[9]
	Roccom	[10]
	Rocface	[11]
	Rocblas	[12]
	Rocin	[13]
	RocHDF	[14]
	Rocmop	[15]
	Rocrem	[16]
	Rocketeer	[17]	Visualization tool for complex 2-D and 3-D data sets.
Utilities	Rocbuild	[18]
	Roctest	[19]
	Rocdiff	[20]
	Rocprep	[21]

Events

• On 11–12 June 2007, UIUC's Computational Science and Engineering department, home of CSAR, hosted a workshop on Uncertainty Quantification. Over 40 people attended, and lectures were given by Habib Najm and Nicholas J. Zabaras.
• On 13 July 2007, CSAR held their International Symposium on Solid Rocket Modeling and Simulation, which featured speakers from CSAR, Japan's JAXA, and France's SNPE