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Optimization of the Shape of a Hydrokinetic Turbine's Draft Tube and Hub Assembly Using Design-by-Morphing with Bayesian Optimization. (arXiv:2207.11451v3 [cs.CG] UPDATED)
Sept. 14, 2022, 1:12 a.m. | Haris Moazam Sheikh, Tess A. Callan, Kealan J. Hennessy, Philip S. Marcus
cs.LG updates on arXiv.org arxiv.org
Finding the optimal design of a hydrodynamic or aerodynamic surface is often
impossible due to the expense of evaluating the cost functions (say, with
computational fluid dynamics) needed to determine the performances of the flows
that the surface controls. In addition, inherent limitations of the design
space itself due to imposed geometric constraints, conventional
parameterization methods, and user bias can restrict {\it all} of the designs
within a chosen design space regardless of whether traditional optimization
methods or newer, data-driven …
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