2023
DOI: 10.1016/j.oceaneng.2023.116098
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Investigations on experimental and computational trim optimisation methods

Kadir Burak Korkmaz,
Sofia Werner,
Rickard Bensow
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Cited by 3 publications
(4 citation statements)
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“…In this paper, the ship resistance, based on which the relationship of speed vs. draft and trim surface is created, is obtained by CFD numerical simulations under different combinations of draft, trim, and speed. As CFD is low in accuracy if the hydrodynamic model or parameters are not properly set [22], model tests or full-scale measurements of real ships could be used instead of CFD simulations to gain more accurate resistance results for the proposed optimization methods. The hull resistance is the input data only for the proposed methods, and can be obtained using various methods.…”
Section: Discussionmentioning
confidence: 99%
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“…In this paper, the ship resistance, based on which the relationship of speed vs. draft and trim surface is created, is obtained by CFD numerical simulations under different combinations of draft, trim, and speed. As CFD is low in accuracy if the hydrodynamic model or parameters are not properly set [22], model tests or full-scale measurements of real ships could be used instead of CFD simulations to gain more accurate resistance results for the proposed optimization methods. The hull resistance is the input data only for the proposed methods, and can be obtained using various methods.…”
Section: Discussionmentioning
confidence: 99%
“…Xie et al [21] developed a speed and trim joint optimization method by using sensor data and a fuel consumption prediction model to minimize the fuel consumption, and proved that joint optimization can overcome the limitations of single-factor optimization such as trim optimization and speed optimization by considering multiple factors simultaneously. Korkmaz et al [22] investigated the trim trends by using Experimental Fluid Dynamics (EFD) compared to CFD with the example of a RoPax vessel, and came to some valuable conclusions on the comparison of the accuracy of EFD and CFD, and some suggestions were given on how to improve the precision of trim trends prediction.…”
Section: Introductionmentioning
confidence: 99%
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