Bulletin of the American Physical Society
19th Biennial Conference of the APS Topical Group on Shock Compression of Condensed Matter
Volume 60, Number 8
Sunday–Friday, June 14–19, 2015; Tampa, Florida
Session D5: Equation of State III: Models |
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Chair: Damian Swift, Lawrence Livermore National Laboratory, Oliver Heuze, Commissariat a l'Energie Atomique (CEA) Room: Grand I/J |
Monday, June 15, 2015 2:00PM - 2:15PM |
D5.00001: Insights from Exploring Thermodynamics-Based Artificial Viscosity Ann E. Mattsson Artificial viscosity is a crucial method for handling shock waves numerically in continuum codes. It serves to smoothen the naturally abrupt shock front over several numerical cells, thus enhancing numerical stability of the calculation. I have re-derived, in general terms, the requirements on, and limitations of, the artificial viscosity to produce a stable smoothened shock front and will share insights from this work. In particular, I will discuss which thermodynamic quantities will be needed in an implementation based on this new artificial viscosity concept. Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000. [Preview Abstract] |
Monday, June 15, 2015 2:15PM - 2:30PM |
D5.00002: Automated Generation of Tabular Equations of State with Uncertainty Information John H. Carpenter, Allen C. Robinson, Bert J. Debusschere, Ann E. Mattsson As computational science pushes toward higher fidelity prediction, understanding the uncertainty associated with closure models, such as the equation of state (EOS), has become a key focus. Traditional EOS development often involves a fair amount of art, where expert modelers may appear as magicians, providing what is felt to be the closest possible representation of the truth. Automation of the development process gives a means by which one may demystify the art of EOS, while simultaneously obtaining uncertainty information in a manner that is both quantifiable and reproducible. We describe our progress on the implementation of such a system to provide tabular EOS tables with uncertainty information to hydrocodes. Key challenges include encoding the artistic expert opinion into an algorithmic form and preserving the analytic models and uncertainty information in a manner that is both accurate and computationally efficient. Results are demonstrated on a multi-phase aluminum model. \\ \\ {*}Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000. [Preview Abstract] |
Monday, June 15, 2015 2:30PM - 2:45PM |
D5.00003: ABSTRACT WITHDRAWN |
Monday, June 15, 2015 2:45PM - 3:00PM |
D5.00004: ABSTRACT MOVED TO T5.00005 |
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