Chen, JianweiJianweiChenYu, ChengChengYuShen, LiangLiangShen2021-03-102021-03-102019-0911th International Workshop on Ship and Marine Hydrodynamics (IWSH2019), Paper 66http://hdl.handle.net/11420/9032Trim optimization is a particularly easy and cheap way of improving ship performance, reducing fuel oil consumption and lowering emission. The purpose of trim optimization is to obtain the optimal trim to minimize the ship total resistance at the specified draft and speed. The usual approach is to establish a surrogate model to estimate the ship resistance based on some sample points. However, for most of present practices of trim optimization, a large number of sample points are uniformly distributed in the design space composed of draft, trim and speed. As a result, a high computing cost can be expected. In this paper, the design of experiments (DOE) is introduced to reduce the number of sample points. Each sample point contains the ship resistance at a specified draft, trim and speed. Then ordinary kriging interpolation is utilized to construct the surrogate model. The ship resistances at the conditions of the sample points are achieved by RANS simulations and the KCS model is selected in the present research. The accuracy of the surrogate model is verified by other RANS simulations. Results indicate that DOE and ordinary kriging interpolation can reduce considerable calls for the CFD solver and remain the accuracy of the surrogate model approximately.enhttp://rightsstatements.org/vocab/InC/1.0/Design of experimentsKriging interpolationRANS simulationTrim optimizationTechnikIngenieurwissenschaftenConference Paper10.15480/882.335710.15480/882.3357Fluiddynamik und Schiffstheorie M-8Conference Paper