... of the thousands of calculations are used to quantify the capsize risk, for example. The challenge to validate the capsize risk is that an occurrence of capsizing is the result of a chain of (hydrodynamic) events, each of which needs validation. To validate prediction of rare events, we claim validation on many...

... used to correct distortion, prediction of heating paths for thermally forming curved shell plates, and optimization of the welding process and structure design to improve toughness and fatigue life. Although the ORNL solver have achieved significant successes in modeling the welding process...

... of system delays, phase lag can be mitigated. marine transportation artificial intelligence simulation actuation deep learning controller ride control algorithm reduction san diego united states government machine learning prediction effectiveness foil angle displacement neural network...

... Quiescent Period Prediction (QPP) purpose is to provide ship motion conditions and motion predictions with sufficient forecasted time to launch, recover, and complete other motion sensitive tasks regardless of the seaway. QPP operates within a federated architecture system containing measurement...

... varied independently and validated using experimental data. The URANSE CFD simulations were validated by comparison with the experimental results and unsteady thin-ship resistance predictions of Doctors et al. (2010). The numerical results show reasonable agreement with rowing shells experimental data...

... of possible classes. artificial intelligence segmentation ensemble pixel deep learning convolutional neural network smc 2022 prediction classification sea ice characterization matthew king houston validation machine learning dataset architecture semantic segmentation SNAME Maritime...

... is on building and testing machine learning models that can accurately predict the shaft power of a vessel under different conditions. The models examined include pure empirical models, pure neural network models, and combinations of the two. Using data on two car carrying vessels for 8 years it was found...

... machine learning data mining artificial intelligence renewable energy us government information tirtharaj bhaumik dataset regression model upstream oil & gas prediction offshore operation weather window evaluation smc2021 weather window operation significant wave height buoy...

... and never-ending stream of data. The author has applied the concept of continual learning to building a system that continually learns from actual boat performance and refines predictions previously done using static VPP data. The neural networks used are initially trained using the output from traditional...

... CFD is a useful tool for ship designers looking for accurate predictions of the fuel efficiency achieved by a certain combination of hull, propeller and Energy Saving Devices (ESDs). Such predictions are key to meeting ever-increasing demands for reductions in emissions. However, CFD simulations...

... The main purpose of this work is the development of the wave reconstruction and prediction system RIMARC for forecasting of waves and vessel motion in real time a few minutes in advance. RIMARC (Radar IMAge ReConstruction and wave prediction) utilises ocean surface measurements from a standard X...

... Accurate estimation of the added resistance and added power of a ship in waves is essential to ensure efficient and safe operations at sea. The objectives of this work are to (1) present an efficient means of predicting the added resistance and added power of the KRISO Container Ship (KCS...

... This paper proposes a methodology for vessel-specific wave induced fatigue damage estimation and prediction based on Spectral-Based Fatigue Analysis (SFA) and Monte Carlo simulation (MCS). The impact of the vessel-specific wave conditions on the vessel’s fatigue damage is characterized...

... underwater radiated noise, are continuing to be tightened by regulatory institutions. This development is urging the shipbuilding industry to improve sound prediction and analysis methods. With the propeller as the dominating acoustic source under water, in particular propulsion solution manufacturers need...

...Rapid Simulation of Ship Motions during Maneuvering in Operational Wave Conditions Kevin McTaggart (FL) Defence Research and Development Canada Ship design and operational planning require methods for predicting ship maneuvering including wave-induced motions. Rapid evaluation of ship motions...

... captive model tests to derive the hydrodynamic derivatives in a really cost effective way. These derivatives are being inserted in a simulation maneuvering model for the prediction of the maneuvering performance. It should be noted that the hull, which is subjected to the virtual captive model tests...

...); Howison et al. (1991). The hydrodynamic models are coupled to a linear finite element beam model through a relationship between spray root location and the local deflection. Results of a validation study comparing model predictions to experiments described in Ren et al. (2019a); Javaherian et al. (2019...

... In order to safely design submarines and other underwater vehicles, it is critically important to understand and be able to predict the hydrodynamics forces and moments they will experience in operation. Most methods of predictnig the hydrodynamic forces during maneuvering assume the flow...

... cross deck magnitude trimaran trimaran design arrangement maneuvering october 2019 hull prediction baseline hull Trimaran Design and Performance Author names: William S. Weidle1 (M), Keisuke Suzuki2 (V), Yoshiki Miyauchi2 (V), Parker L. Field1 (M), James W. Lovenbury1 (V) 1. Naval Surface...

... these requirements, the CRS has been working since 2011 on a new time domain simulation tool able to predict the ship s sustained speed, track and drift angle in wind and wave conditions with sufficient accuracy. Due to the difficulty in accurately combining the wave frequency forces with the maneuvering forces...