Towards Scalable Parallel-in-Time Turbulent Flow Simulations
| Autor: | Patrick J. Blonigan, Steven Gomez, Qiqi Wang, Alastair Gregory, Elizabeth Qian |
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| Přispěvatelé: | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics, Wang, Qiqi, Gomez, Steven A., Blonigan, Patrick Joseph, Gregory, Alastair L., Qian, Elizabeth Y. |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Computational Mechanics
FOS: Physical sciences ComputerApplications_COMPUTERSINOTHERSYSTEMS Computational fluid dynamics Physics::Fluid Dynamics FOS: Mathematics Initial value problem Boundary value problem Time domain Mathematics - Numerical Analysis Computer Science::Databases Fluid Flow and Transfer Processes Physics Chaotic dynamical systems Turbulence business.industry Mechanical Engineering Fluid Dynamics (physics.flu-dyn) Numerical Analysis (math.NA) Mechanics Physics - Fluid Dynamics Computational Physics (physics.comp-ph) Condensed Matter Physics Mechanics of Materials Scalability business Physics - Computational Physics |
| Zdroj: | arXiv |
| Popis: | We present a reformulation of unsteady turbulent flow simulations. The initial condition is relaxed and information is allowed to propagate both forward and backward in time. Simulations of chaotic dynamical systems with this reformulation can be proven to be well-conditioned time domain boundary value problems. The reformulation can enable scalable parallel-in-time simulation of turbulent flows. 11 pages, 17 figures. Accepted for publication in Physics of Fluids |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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