Towards scalable parallel-in-time turbulent flow simulations

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 va...

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Main Authors: Wang, Qiqi, Gomez, Steven A., Gregory, Alastair L., Qian, Elizabeth Y., Blonigan, Patrick Joseph
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Language:en_US
Published: American Institute of Physics (AIP) 2015
Online Access:http://hdl.handle.net/1721.1/97148
https://orcid.org/0000-0001-5552-6235
https://orcid.org/0000-0001-6713-3746
https://orcid.org/0000-0001-9669-2563
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author Wang, Qiqi
Gomez, Steven A.
Gregory, Alastair L.
Qian, Elizabeth Y.
Blonigan, Patrick Joseph
author2 Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
author_facet Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Wang, Qiqi
Gomez, Steven A.
Gregory, Alastair L.
Qian, Elizabeth Y.
Blonigan, Patrick Joseph
author_sort Wang, Qiqi
collection MIT
description 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.
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spelling mit-1721.1/971482022-09-30T19:51:59Z Towards scalable parallel-in-time turbulent flow simulations Wang, Qiqi Gomez, Steven A. Gregory, Alastair L. Qian, Elizabeth Y. Blonigan, Patrick Joseph Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Wang, Qiqi Gomez, Steven A. Blonigan, Patrick Joseph Gregory, Alastair L. Qian, Elizabeth Y. 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. United States. Air Force Office of Scientific Research. Small Business Technology Transfer Program (Contract FA9550-12-C-0065) 2015-06-02T15:11:51Z 2015-06-02T15:11:51Z 2013-09 2012-12 Article http://purl.org/eprint/type/JournalArticle 10706631 1089-7666 http://hdl.handle.net/1721.1/97148 Wang, Qiqi, Steven A. Gomez, Patrick J. Blonigan, Alastair L. Gregory, and Elizabeth Y. Qian. “Towards Scalable Parallel-in-Time Turbulent Flow Simulations.” Physics of Fluids 25, no. 11 (2013): 110818. https://orcid.org/0000-0001-5552-6235 https://orcid.org/0000-0001-6713-3746 https://orcid.org/0000-0001-9669-2563 en_US http://dx.doi.org/10.1063/1.4819390 Physics of Fluids Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf American Institute of Physics (AIP) arXiv
spellingShingle Wang, Qiqi
Gomez, Steven A.
Gregory, Alastair L.
Qian, Elizabeth Y.
Blonigan, Patrick Joseph
Towards scalable parallel-in-time turbulent flow simulations
title Towards scalable parallel-in-time turbulent flow simulations
title_full Towards scalable parallel-in-time turbulent flow simulations
title_fullStr Towards scalable parallel-in-time turbulent flow simulations
title_full_unstemmed Towards scalable parallel-in-time turbulent flow simulations
title_short Towards scalable parallel-in-time turbulent flow simulations
title_sort towards scalable parallel in time turbulent flow simulations
url http://hdl.handle.net/1721.1/97148
https://orcid.org/0000-0001-5552-6235
https://orcid.org/0000-0001-6713-3746
https://orcid.org/0000-0001-9669-2563
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