Research on inland ship hydrodynamic modeling and parameter identification based on CFD
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2025-02-15
Major/Subject
Mcode
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Language
en
Pages
19
Series
Ocean Engineering, Volume 318
Abstract
Hydrodynamic modeling and the calculation of hydrodynamic derivatives for Inland ships have consistently presented challenges. This paper introduces a method for building ship maneuvering models utilizing Computational Fluid Dynamics (CFD) and the Maneuvering Motion Group (MMG) models. Forces and moments acting on the hull from fluid dynamics to predict calculating the hydrodynamic derivatives of unconventional ship hulls. Static Oblique Towing Tests (OTT) and Dynamic Circular Motion Tests (CMT) are used to collect synthetic data for the 3 Degrees of Freedom (DOF) of the MMG model. To improve the fitting accuracy of parameter identification of MMG model, this study suggests using an interpolation fitting method instead of the traditional least squares fitting method. Considering the unique characteristics of the research object of this paper, the reliability of its maneuvering model is validated through the creation of a scaled ship model corresponding to the CFD computational model. Ship model maneuvering tests, including the 15/15 Zigzag test, are conducted to refine certain propeller and rudder parameters. The proposed method is applied to the inland ship (ANJI 209 wheel). The results show that the mathematical model, established using interpolation fitting to determine hydrodynamic derivatives, accurately forecasts the ship maneuvering features, which is corroborated by the experimental data from ship model tests.Description
Publisher Copyright: © 2024
Keywords
Computational fluid dynamics (CFD), Free-running test, Interpolation fitting, Parameter identification, Ship maneuvering modeling
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Citation
Ding, S, Zheng, M, Tavakoli, S, Li, S, Lan, J, Lin, B, Zou, T & Zhang, M 2025, ' Research on inland ship hydrodynamic modeling and parameter identification based on CFD ', Ocean Engineering, vol. 318, 120064 . https://doi.org/10.1016/j.oceaneng.2024.120064