Multi-objective hull-form optimization using kriging on noisy computer experiments
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Inclou dades d'ús des de 2022
Cita com:
hdl:2117/332589
Tipus de documentText en actes de congrés
Data publicació2015
EditorCIMNE
Condicions d'accésAccés obert
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Abstract
Meta-modelling is a key technique for efficient multi-objective optimization
in ship design projects using CFD. However, objective functions computed with CFD are not
deterministic functions but contain random scatter about a smooth trend. Kriging is a meta-model
technique that is well suited for numerical experiments with deterministic errors that can be
perceived as random scatter due to varying input parameters. Sim- ple Kriging, universal
kriging and polynomial regression are used to obtain approximate Pareto-fronts from the hull-form
optimization of a chemical tanker including free-surface effects. Cross-validation is used to
assess the quality of the meta-models and the meta- model approximations of the
Pareto-fronts are verified. It is found that cross-validation can be used to select the best
meta-model but should not be used to estimate the true error of the approximation in case
the design of experiment is too coarse. The approach is used in practice in order to accelerate
the ship design process and to obtain more efficient
ships with less vibration hindrance.
CitacióScholcz, T.P.; Gornicz, T.; Veldhuis, C. Multi-objective hull-form optimization using kriging on noisy computer experiments. A: MARINE VI. "MARINE VI : proceedings of the VI International Conference on Computational Methods in Marine Engineering". CIMNE, 2015, p. 1064-1077. ISBN 978-84-943928-6-3.
ISBN978-84-943928-6-3
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Marine-2015-87_MULTI-OBJECTIVE HULL-FORM.pdf | 1,815Mb | Visualitza/Obre |