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Machine Learning for the Development of Data-Driven Turbulence Closures in Coolant Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This work shows the application of Gene Expression Programming to augment RANS turbulence closures for flows though complex geometries. Specifically, an optimized internal cooling channel of a turbine blade, designed for ...