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View article: Deep Learning-Based Prediction of Ship Roll Motion with Monte Carlo Dropout
Deep Learning-Based Prediction of Ship Roll Motion with Monte Carlo Dropout Open
Accurate prediction of ship roll motion is essential for safe and autonomous navigation. This study presents a deep learning framework that estimates both roll motion and epistemic uncertainty using Monte Carlo (MC) Dropout. Two architectu…
View article: A Data-Driven DNN Model to Predict the Ultimate Strength of a Ship’s Bottom Structure
A Data-Driven DNN Model to Predict the Ultimate Strength of a Ship’s Bottom Structure Open
Plates and curved plates are essential components in ship construction. In the design stage, the methods used to evaluate the ultimate strength required to confirm the structural safety of plates include prediction through analytical metho…
View article: Numerical investigation of the effects of increased and mixed chord lengths for a 4-bladed darrieus vertical axis wind turbine
Numerical investigation of the effects of increased and mixed chord lengths for a 4-bladed darrieus vertical axis wind turbine Open
Increasing amounts of study and research on vertical axis wind turbines (VAWTs) have shown that they are a competitive option in wind energy power generation. However, the VAWT’s primary drawback is low power efficiencies. Although there a…
View article: Predictive Model for Hydrostatic Curves of Chine-Type Small Ships Based on Deep Learning
Predictive Model for Hydrostatic Curves of Chine-Type Small Ships Based on Deep Learning Open
Capsizing accidents are regarded as marine accidents with a high rate of casualties per accident. Approximately 89% of all such accidents involve small ships (vessels with gross tonnage of less than 10 tons). Stability calculations are cri…
View article: Deep-Learning-Based Hydrostatic Curve Modeling for Stability Calculation of Chine-Type Small Ships
Deep-Learning-Based Hydrostatic Curve Modeling for Stability Calculation of Chine-Type Small Ships Open
Capsizing accidents are regarded as marine accidents with a high rate of casualties per accident. Approximately 89% of all such accidents occur in small ships (vessels with gross tonnage less than 10 tons). Stability calculations are criti…
View article: Shear Force and Bending Moment Tuning Algorithm of Shuttle Tanker Model for Global Structural Analysis
Shear Force and Bending Moment Tuning Algorithm of Shuttle Tanker Model for Global Structural Analysis Open
Global ship analysis is conducted using a finite element model (FE model) for ship design and construction, which involves structural, motion, and vibration analyses. It is crucial to examine the structural safety of the hull and motion re…
View article: Development of Fire Consequence Prediction Model in Fuel Gas Supply System Room with Changes in Operating Conditions during Liquefied Natural Gas Bunkering
Development of Fire Consequence Prediction Model in Fuel Gas Supply System Room with Changes in Operating Conditions during Liquefied Natural Gas Bunkering Open
Recently, various dynamic risk analysis methods have been suggested for estimating the risk index by predicting the possibility of accidents and damage in real time. It is necessary to quickly estimate the risk of an accident by predicting…
View article: Weight distribution algorithm for global ship analysis in preliminary design stage
Weight distribution algorithm for global ship analysis in preliminary design stage Open
Structural analysis, based on a global ship model, is vital for examining the structural strength and safety of a hull. In the “NASTRAN” global ship model, only the structural members and cargo tank of a ship are modeled and the outfit, el…
View article: Multi-Objective Optimization of Drilling Trajectory Considering Buckling Risk
Multi-Objective Optimization of Drilling Trajectory Considering Buckling Risk Open
Directional drilling involves three sections—vertical, curved, and horizontal—and is used for drilling offshore wells and mining unconventional resources. The initial design of a well trajectory is important because the total length of the…
View article: Prediction of Dynamic Responses of Flow-Induced Vibration Using Deep Learning
Prediction of Dynamic Responses of Flow-Induced Vibration Using Deep Learning Open
Flow-induced vibration (FIV) is a phenomenon in which the flow passing through a structure exerts periodic forces on the structure. Most studies on FIVs focus on suppressing this phenomenon. However, the Marine Renewable Energy Laboratory …
View article: Automatic Detection of Welding Defects Using Faster R-CNN
Automatic Detection of Welding Defects Using Faster R-CNN Open
In the shipbuilding industry, the non-destructive testing for welding quality inspection is mainly used for the permanent storage of the testing results and the radio-graphic testing which can visually inspect the interior of the welded pa…
View article: Electric power consumption predictive modeling of an electric propulsion ship considering the marine environment
Electric power consumption predictive modeling of an electric propulsion ship considering the marine environment Open
This study predicts the power consumption of an Electric Propulsion Ship (EPS) in marine environment. The EPS is driven by a propeller rotated by a propulsion motor, and the power consumption of the propeller changes by the marine environm…