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physics.flu-dyn2021★ 7 cited
Generalized Joint Probability Density Function Formulation inTurbulent Combustion using DeepONet
Rishikesh Ranade, Kevin Gitushi, Tarek Echekki
Joint probability density function (PDF)-based models in turbulent combustion provide direct closure for turbulence-chemistry interactions. The joint PDFs capture the turbulent fla…
physics.flu-dyn2019
A Framework for Data-Based Turbulent Combustion Closure: A Posteriori Validation
Rishikesh Ranade, Tarek Echekki
In this work, we demonstrate a framework for developing closure models in turbulent combustion using experimental multi-scalar measurements. The framework is based on the construct…
physics.flu-dyn2019
A Framework for Data-Based Turbulent Combustion Closure: A Priori Validation
Rishikesh Ranade, Tarek Echekki
Experimental multi-scalar measurements in laboratory flames have provided important databases for the validation of turbulent combustion closure models. In this work, we present a…