International Journal of Turbomachinery, Propulsion and Power, Volume 4, Issue 4
2019 December - 11 articles
Cover Story: Kriging is increasingly used in metamodel-assisted design optimization. For expensive simulations, however, one can afford only a few samples to train the Kriging model, which consequently lacks prediction accuracy. This article proposes a bounded Kriging able to handle optimization problems with a small initial database by suggesting designs close to database samples and finding optimal designs while staying in a feasible region (with respect to mesh and CFD convergence). Applied to a multidisciplinary design optimization of a radial compressor, ordinary Kriging stopped prematurely because of many failing design evaluations, while the bounded Kriging satisfied all constraints and reached an improvement of 2.59% in efficiency. The bounded Kriging covers a special need for robust methods in optimization able to deal with challenging geometries and a small database. View this paper. - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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