Subgrid scale modeling of the equation of state for turbulent flows under supercritical conditions

Umesh Unnikrishnan, Xingjian Wang, Suo Yang, Vigor Yang

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

24 Scopus citations

Abstract

The focus of this work is to develop subgrid models for the filtered equation of state for large eddy simulation (LES) of supercritical mixing. The conventional LES treatment of directly computing the filtered density in terms of other filtered quantities results in significant modeling errors. To alleviate this problem, two different approaches are investigated - the gradient-based approach, which seeks to establish a model based on the correlation between the subgrid term and the property gradients in the flow field, and the mixing-based approach, which models the subgrid term as a beta function of the mixture fraction and scalar dissipation rate. Reduction in modeling errors by up to 40% is achieved with the models developed and new insights into the physics of these subgrid contributions are gained.

Original languageEnglish (US)
Title of host publication53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105111
DOIs
StatePublished - 2017
Externally publishedYes
Event53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017 - Atlanta, Georgia
Duration: Jul 10 2017Jul 12 2017

Publication series

Name53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017

Other

Other53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017
Country/TerritoryGeorgia
CityAtlanta
Period7/10/177/12/17

Bibliographical note

Funding Information:
This work was funded by the William R.T. Oakes Endowment of the Georgia Institute of Technology.

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