专题:Ship Hydrodynamics and Maneuverability

This cluster of papers focuses on the comprehensive analysis, verification, and validation of computational fluid dynamics (CFD) simulations for ship hydrodynamics. It covers topics such as ship maneuvering, hydrodynamic optimization, added resistance, numerical uncertainty estimation, propeller performance, wave interactions, maneuvering coefficients, and ship motion prediction. The papers also delve into the hydroelastic effects of ships in various sea conditions.
最新文献
Hydrodynamic wave forces on two side-by-side barges subjected to nonlinear focused wave groups

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A novel ship short-term speed prediction method under the influence of currents

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A deep learning combined prediction model for prediction of ship motion attitude in real conditions

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A voyage-level ship performance modelling approach for the simulation of the Finnish-Swedish winter navigation system

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A viscous investigation on the hydrodynamic coefficients and wave loads under the interaction of side-by-side cylinders in regular waves

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Ship Speed Optimization Method in Canal Environments Considering Waiting Times for Crossing Locks

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Research of Slamming Load Characteristics during Trans-Media Aircraft Entry into Water

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A time-domain model for unsteady upwind sail aerodynamics using the indicial response method

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Air entrainment by a hydrofoil in a high-speed water flow for design of bubbly drag reduction ships

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A multiparameter simulation-driven analysis of ship response when turning concerning a required number of irregular wave realizations

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近5年高被引文献
Beluga whale optimization: A novel nature-inspired metaheuristic algorithm

article Full Text OpenAlex 736 FWCI144.10793173

Fire Hawk Optimizer: a novel metaheuristic algorithm

article Full Text OpenAlex 332 FWCI65.00520834

Spider wasp optimizer: a novel meta-heuristic optimization algorithm

article Full Text OpenAlex 278 FWCI71.01312277

Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems

article Full Text OpenAlex 272 FWCI53.25727912

Deep Learning Methods for Vessel Trajectory Prediction Based on Recurrent Neural Networks

article Full Text OpenAlex 211 FWCI24.52225069

Dynamic anti-collision A-star algorithm for multi-ship encounter situations

article Full Text OpenAlex 177 FWCI19.3414935

A novel MP-LSTM method for ship trajectory prediction based on AIS data

article Full Text OpenAlex 170 FWCI20.72302875

A hybrid approach for forecasting ship motion using CNN–GRU–AM and GCWOA

article Full Text OpenAlex 160 FWCI23.31340735

Deep reinforcement learning-based collision avoidance for an autonomous ship

article Full Text OpenAlex 153 FWCI20.03226113

AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods

article Full Text OpenAlex 135 FWCI36.78343388