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RISA Novel Active Optimization Approach for Rapid and Efficient Design Space Exploration Using Ensemble Machine Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this work, a novel design optimization technique based on active learning, which involves dynamic exploration and exploitation of the design space of interest using an ensemble of machine learning algorithms, is presented. ...
An Automated Machine Learning-Genetic Algorithm Framework With Active Learning for Design Optimization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The use of machine learning (ML)-based surrogate models is a promising technique to significantly accelerate simulation-driven design optimization of internal combustion (IC) engines, due to the high computational cost of ...
Assessment of Machine Learning Wall Modeling Approaches for Large Eddy Simulation of Gas Turbine Film Cooling Flows: An a Priori Study
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this work, a priori analysis of machine learning (ML) strategies is carried out with the goal of data-driven wall modeling for large eddy simulation (LES) of gas turbine film cooling flows. High-fidelity flow datasets ...