Abstract
An approach for assimilating trusted-source data as a potential means of reducing uncertainties in large-eddy simulations is presented in this paper. The approach is based on an interpretation of ensemble Kalman filtering as applied to statistically-stationary flows. The technique leads to a spatially and temporally varying source term that serves to steer a large-eddy simulation in the direction of trusted-source data without significantly affecting resolved-turbulence structural content. The approach has been tested for a reacting 2D hydrogen-air shear layer (with trusted-source data obtained from a concurrent fine-mesh large-eddy simulation) and for a 3D scramjet combustor (with trusted-source data coming from CARS and SPIV measurements). The results show the potential of the new method as a means of constraining a large-eddy simulation so that its statistics evolve more in accord with trusted-source data. Though applied to problems relevant to high-speed propulsion in this paper, the method is generally applicable to large-eddy simulations of statistically-stationary flows.
| Original language | English (US) |
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| Title of host publication | 51st AIAA/SAE/ASEE Joint Propulsion Conference |
| Publisher | American Institute of Aeronautics and Astronautics Inc, AIAA |
| ISBN (Print) | 9781624103216 |
| DOIs | |
| State | Published - 2015 |
| Externally published | Yes |
| Event | 51st AIAA/SAE/ASEE Joint Propulsion Conference, 2015 - Orlando, United States Duration: Jul 27 2015 → Jul 29 2015 |
Publication series
| Name | 51st AIAA/SAE/ASEE Joint Propulsion Conference |
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Conference
| Conference | 51st AIAA/SAE/ASEE Joint Propulsion Conference, 2015 |
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| Country/Territory | United States |
| City | Orlando |
| Period | 7/27/15 → 7/29/15 |
Bibliographical note
Publisher Copyright:© 2015, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.