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Tuning of Generalized K-Omega Turbulence Model by Using Adjoint Optimization and Machine Learning for Gas Turbine Combustor Applications
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Turbulence modeling plays a crucial role in swirl-stabilized gas turbine combustors, typically relying on scale-resolved simulations (SRS) such as large eddy simulations (LES). However, LES is computationally expensive due ...
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