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
102. Spiral-Crawler ROV: A Tri-Modal Underwater Robot for Confined Shipwreck Exploration — Conceptual Design Paper

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Physics-Guided Neural Network-Based Shaft Power Prediction for Vessels

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A review of air drag related freight train aerodynamics part 2: Energy efficient designs

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Stochastic seakeeping analysis of nonlinear ship rolling dynamics under non-stationary and irregular sea states

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Modeling ship movements under automatic mooring system with consideration of harbor oscillations

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Experimental study on hydrodynamic performance of a floating multi-use platform integrating an OWC array

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A rolling multi-objective ship speed optimization strategy for energy efficiency and operating cost control in dynamic waterway conditions

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Analysis of three-dimensional and hydroelastic effects on high-velocity water entry of a rectangular plate

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A hybrid collision model for the fluid–structure interaction during autonomous underwater vehicle recovery

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A hybrid model based on a dual-layer decomposition framework and LSTM-Informer for significant wave height prediction

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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 796 FWCI104.9009

Fire Hawk Optimizer: a novel metaheuristic algorithm

article Full Text OpenAlex 355 FWCI46.9071

Spider wasp optimizer: a novel meta-heuristic optimization algorithm

article Full Text OpenAlex 317 FWCI55.9842

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

article Full Text OpenAlex 294 FWCI38.1834

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

article Full Text OpenAlex 160 FWCI32.1974

Vessel Trajectory Prediction in Maritime Transportation: Current Approaches and Beyond

article Full Text OpenAlex 147 FWCI20.6381

Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis

review Full Text OpenAlex 144 FWCI29.0237

Wind speed prediction of unmanned sailboat based on CNN and LSTM hybrid neural network

article Full Text OpenAlex 143 FWCI12.3519

A hybrid EMD-LSTM model for non-stationary wave prediction in offshore China

article Full Text OpenAlex 137 FWCI15.4238

Review of ship energy efficiency

article Full Text OpenAlex 135 FWCI10.5994