Customized data-driven RANS closures for bi-fidelity LES-RANS optimization

Yu Zhang, Richard P. Dwight, Martin Schmelzer +3

Multi-fidelity optimization methods promise a high-fidelity optimum at a cost only slightly greater than a low-fidelity optimization. This promise is seldom achieved in practice, d…