4D data assimilation for large Eddy simulation of high speed turbulent combustion

Jack R. Edwards, Conrad H. Patton, Hessam Mirgolbabaei, T. J. Wignall, Tarek Echekki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations


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 languageEnglish (US)
Title of host publication51st AIAA/SAE/ASEE Joint Propulsion Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624103216
StatePublished - 2015
Externally publishedYes
Event51st AIAA/SAE/ASEE Joint Propulsion Conference, 2015 - Orlando, United States
Duration: Jul 27 2015Jul 29 2015

Publication series

Name51st AIAA/SAE/ASEE Joint Propulsion Conference


Conference51st AIAA/SAE/ASEE Joint Propulsion Conference, 2015
Country/TerritoryUnited States

Bibliographical note

Publisher Copyright:
© 2015, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.


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