Feasibility Analysis of Ensemble Sensitivity Computation in Turbulent Flows
© 2019 by the American Institute of Aeronautics and Astronautics, Inc. In chaotic systems, such as turbulent flows, the solutions to tangent and adjoint equations exhibit an unbounded growth in their norms. This behavior renders the instantaneous tangent and adjoint solutions unusable for sensitivit...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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American Institute of Aeronautics and Astronautics (AIAA)
2021
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Online Access: | https://hdl.handle.net/1721.1/136549 |
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author | Chandramoorthy, Nisha Fernandez, Pablo Talnikar, Chaitanya Wang, Qiqi |
author_facet | Chandramoorthy, Nisha Fernandez, Pablo Talnikar, Chaitanya Wang, Qiqi |
author_sort | Chandramoorthy, Nisha |
collection | MIT |
description | © 2019 by the American Institute of Aeronautics and Astronautics, Inc. In chaotic systems, such as turbulent flows, the solutions to tangent and adjoint equations exhibit an unbounded growth in their norms. This behavior renders the instantaneous tangent and adjoint solutions unusable for sensitivity analysis. The Lea-Allen-Haine ensemble sensitivity (ES) estimates provide a way of computing meaningful sensitivities in chaotic systems by using tangent/adjoint solutions over short trajectories. In this paper, the feasibility of ES computations is analyzed under optimistic mathematical assumptions on the flow dynamics. Furthermore, upper bounds are estimated on the rate of convergence of the ES method in numerical simulations of turbulent flow. Even at the optimistic upper bound, the ES method is computationally intractable in each of the numerical examples considered. |
first_indexed | 2024-09-23T16:30:15Z |
format | Article |
id | mit-1721.1/136549 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T16:30:15Z |
publishDate | 2021 |
publisher | American Institute of Aeronautics and Astronautics (AIAA) |
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spelling | mit-1721.1/1365492021-10-28T03:10:01Z Feasibility Analysis of Ensemble Sensitivity Computation in Turbulent Flows Chandramoorthy, Nisha Fernandez, Pablo Talnikar, Chaitanya Wang, Qiqi © 2019 by the American Institute of Aeronautics and Astronautics, Inc. In chaotic systems, such as turbulent flows, the solutions to tangent and adjoint equations exhibit an unbounded growth in their norms. This behavior renders the instantaneous tangent and adjoint solutions unusable for sensitivity analysis. The Lea-Allen-Haine ensemble sensitivity (ES) estimates provide a way of computing meaningful sensitivities in chaotic systems by using tangent/adjoint solutions over short trajectories. In this paper, the feasibility of ES computations is analyzed under optimistic mathematical assumptions on the flow dynamics. Furthermore, upper bounds are estimated on the rate of convergence of the ES method in numerical simulations of turbulent flow. Even at the optimistic upper bound, the ES method is computationally intractable in each of the numerical examples considered. 2021-10-27T20:35:53Z 2021-10-27T20:35:53Z 2019 2021-05-04T17:53:21Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/136549 en 10.2514/1.J058127 AIAA Journal Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf American Institute of Aeronautics and Astronautics (AIAA) arXiv |
spellingShingle | Chandramoorthy, Nisha Fernandez, Pablo Talnikar, Chaitanya Wang, Qiqi Feasibility Analysis of Ensemble Sensitivity Computation in Turbulent Flows |
title | Feasibility Analysis of Ensemble Sensitivity Computation in Turbulent Flows |
title_full | Feasibility Analysis of Ensemble Sensitivity Computation in Turbulent Flows |
title_fullStr | Feasibility Analysis of Ensemble Sensitivity Computation in Turbulent Flows |
title_full_unstemmed | Feasibility Analysis of Ensemble Sensitivity Computation in Turbulent Flows |
title_short | Feasibility Analysis of Ensemble Sensitivity Computation in Turbulent Flows |
title_sort | feasibility analysis of ensemble sensitivity computation in turbulent flows |
url | https://hdl.handle.net/1721.1/136549 |
work_keys_str_mv | AT chandramoorthynisha feasibilityanalysisofensemblesensitivitycomputationinturbulentflows AT fernandezpablo feasibilityanalysisofensemblesensitivitycomputationinturbulentflows AT talnikarchaitanya feasibilityanalysisofensemblesensitivitycomputationinturbulentflows AT wangqiqi feasibilityanalysisofensemblesensitivitycomputationinturbulentflows |