Utforska innovativa lösningar för arktisk sjöfart

Forskningsprojekt, 2017 – 2020

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Publikationer

A machine learning based Bayesian decision support system for efficient navigation of double-ended ferries

The Ext-3DJPS algorithm for polar ship path planning

Study on the annual changing trend of Arctic Sea ice melting for mechant shipping

A Spectral Fatigue Assessment Framework for Floating Offshore Wind Turbines

A Machine Learning Ship's Speed Prediction Model and Sailing Time Control Strategy

VAE Based Non-Autoregressive Transformer Model for Sea Ice Concentration Forecast

A Simplified Ship Wave Induced Added Resistance Calculation Method and Full-scale Measurements Validation in Head Sea

A semi-empirical model for ship speed loss prediction at head sea and its validation by full-scale measurements

Comparative Study on Two Statistical Wave Load Models and Their Application to Fatigue Assessment

Comparison of two statistical wave models for fatigue and fracture analysis of ship structures

A Three-Dimensional Dijkstra’s algorithm for multi-objective ship voyage optimization

Comparison between Full-scale Measurements and Theoretical Fuel Consumption Model in a Real Arctic Ship Navigation

A Spatio-Temporal Statistical Model to Simulate Long-Term Wave Environments along Ship Routes

Efficiency of a Voluntary Speed Reduction Algorithm for a Ship’s Great Circle Sailing

Stochastic spatio-temporal model for wind speed variation in the Arctic

MetOcean Data Drived Voyage Optimization Using Genetic Algorithm

Spatio-temporal modelling of wind speed variation

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