A Machine Learning Approach to Predict Near-optimal Meshes for Turbulent Compressible Flow Simulations
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DOI: 10.1080/10618562.2024.2306941
Abstract: This work presents a methodology to predict a near-optimal spacing function, which defines the element sizes, suitable to perform steady RANS turbulent viscous flow simulations. The strategy aims at utilising existing high fidelity simulations to… read more here.
Keywords: turbulent compressible; flow simulations; predict near; near optimal ... See more keywords