Wengang Mao
Wengang Mao conducts research contributing to shipping energy efficiency and safety. The research areas include 1) Machine learning/AI and digitalization for ship performance and response modeling; 2) Ship weather routing and voyage optimization for energy-efficient shipping; 3) Autonomous shipping: routing planning, optimal control, and smart navigation; 4) Statistical modeling of hydrodynamic loads, fatigue safety, and wind/wave conditions.
Showing 135 publications
A novel method for the evaluation of ship berthing risk using AIS data
Strategies to improve the isochrone algorithm for ship voyage optimisation
A spectral fatigue assessment framework for floating offshore wind turbines
The Model of Ship Navigation Risk Field for Risk Assessment of Icebreaker Convoy Operations
Physics-informed machine learning models for ship speed prediction
An overview of scholarly literature on navigation hazards in Arctic shipping routes
A comparison of ship manoeuvrability models to approximate ship navigation trajectories
Statistical Modeling of Arctic Sea Ice Concentrations for Northern Sea Route Shipping
The Ext-3DJPS algorithm for ship path planning in the Arctic
The Ext-3DJPS algorithm for polar ship path planning
Study on the annual changing trend of Arctic Sea ice melting for mechant shipping
A collaborative collision avoidance strategy for autonomous ships under mixed scenarios
Power allocation influence on energy consumption of a double-ended ferry
Different strategies to improve isochrone voyage optimization algorithm
Pre-study on AIS ‘big data’ analyses for identification of tank cleaning operations at sea
Increase shipping efficiency using ship data analytics and AI to assist ship operations
Data-driven ship fatigue assessment based on pitch and heave motions
A Spectral Fatigue Assessment Framework for Floating Offshore Wind Turbines
Review of Different Propulsion Methods for Hybrid-Electric Propulsion Ship
A Machine Learning Ship's Speed Prediction Model and Sailing Time Control Strategy
An Artificial Potential Field Model for the Risk Assessment of Icebreaker Escort Operations
VAE Based Non-Autoregressive Transformer Model for Sea Ice Concentration Forecast
A real-time ship collision risk perception model derived from domain-based approach parameters
A Machine Learning Ship’s Speed Over Ground Prediction Model and Sailing Time Control Strategy
System identification of Vessel Manoeuvring Models
Comparison of supervised machine learning methods to predict ship propulsion power at sea
Benchmark Study of Supervised Machine Learning Methods for a Ship’s Speed-Power Prediction at Sea
A Practical Speed Loss Prediction Model at Arbitrary Wave Heading for Ship Voyage Optimization
Voyage optimization combining genetic algorithm and dynamic programming for fuel/emissions reduction
Prediction of roll motion using fully nonlinear potential flow and Ikeda’s method
Review of ship navigation safety in ice-covered waters
Two-phase energy efficiency optimisation for ships using parallel hybrid electric propulsion system
Analysis of roll damping model scale data
Sensitive analysis of voyage optimization algorithms for ship voyage planning
A Statistical Arima Model to Predict Arctic Environment for NSR Shipping
A comparison of ship maneuverability models to approximate ship navigation trajectories
Impact of ship operations aided by voyage optimization on a ship’s fatigue assessment
Transient response of a TLP-type floating offshore wind turbine under tendon failure conditions
Prediction of dynamic responses of FSRU-LNGC side-by-side mooring system
Performance of tuned mass dampers for vibration reduction in a tlp floating wind turbine
A study on the difference in wave statistics based on storm model for the ship structural assessment
Effects of second-order wave force on fatigue damage assessment of a tlp-type floating wind turbine
A ship safe speed identifying method from risk perspectives in arctic waters
Efficiency of a voluntary speed reduction algorithm for a ship’s great circle sailing
An integrated risk assessment model for safe Arctic navigation
Numerical Study on Motion Response of FSRU-LNGC Side-by-Side Mooring System
Voyage optimization for mitigating ship structural failure due to crack propagation
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
Experimental and numerical study on dynamic response of fsru-lngc side-by-side mooring system
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
EONav - Copernicus Data in Support of Maritime Route Optimization
Stochastic spatio-temporal model for wind speed variation in the Arctic
Prediction of fatigue crack propagation in bulb-flat by experimental and numerical method
Report from ISSC Technical Committee I.1 - Environment
MetOcean Data Drived Voyage Optimization Using Genetic Algorithm
Spatio-temporal modelling of wind speed variation
Wind-assisted propulsion for shipping: status and perspectives
Research on ship structural fatigue damage under nonlinear wave bending moment
A generic energy systems model for efficient ship design and operation
Ship heading control based on backstepping and Least squares support vector machine
Fatigue life prediction method of fairleads installed on a FPSO
Use of Bayesian networks for emergency assistance assessment of ship capsizing
Estimation of Weibull distribution for wind speeds along ship routes
Benchmark study of five optimization algorithms for weather routing
Statistical models for the speed prediction of a container ship
Uncertainties of crack propagation analysis in ship structures
Machine Learning to predict a ship's fuel consumption in seaways
Systems modelling for energy-efficient shipping
DIRECT Optimization Algorithm for Ship Routing Plan
State-of-the-art within ship weather routing
Holistic ship energy systems modelling for efficient ship design and operation
DIRECT optimization algorithm in weather routing of ships
Probabilistic model for wind speed variability encountered by a vessel
Crack growth analysis in ship structures using spectral methods
Probabilistic Model for Wind Speed Variability Encountered by a Vessel
Uncertainty in stress concentration factor computation for ship fatigue design
Analysis of fatigue crack initiation and propagation in ship structures
Analysis of crack retardation effects and crack path in ship structure members on different routes
A comparison of two wave models and their influence on fatigue damage in ship structures
Notes on the Prediction of Extreme Ship Response
What is the potential of using ship fatigue routing in terms of fatigue life extension?
Theoretical development and validation of a fatigue model for ship routing
Estimation of rainflow damages in container ships
Estimation of Extreme Ship Response
Fatigue variation in ships due to the variability of environmental loads
Development of a fatigue model useful in ship routing design
On estimation of extreme ship response using upcrossing spectrum
Fatigue damage assessment of container ships concerning wave-induced torsion
The effect of whipping/springing on fatigue damage and extreme response of ship structures
Development of a fatigue model useful in ship routing design
Safety Index of Fatigue Failure for Ship Structure Details
Fatigue Assessment and Extreme Response Prediction of Ship Structures
Efficient estimation of extreme ship responses using upcrossing spectrum
Comparison between a fatigue model for voyage planning and measurements of a container vessel
Safety Index of Fatigue Failure for Ship Structure Details
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Showing 30 research projects
Hydropower operation and lifetime analysis
Artificial intelligence for enhanced hydraulic turbine lifetime
PINNs -- Multi-Fidelity Physics-Informed Neural Network to Solve Partial Differential Equations
ISEA -- Increase shipping efficiency using ship data analytics and AI to assist ship operations
Machine learning for optimization of pump operation under transients in hydraulic turbine rigs
AI-enhanced energy efficiency measures for optimal ship operations to reduce GHG emissions
AUTOBarge - European training and research network on Autonomous Barges for Smart Inland Shipping
Machine learning method to prediction ship wake distribution
How do you realize the most energy-efficient ship trip in practice?
Development of fully autonomous marine vessels – a step towards an autonomous Marine ElectriCity
E-Nav - Efficient Electronic Navigation at Sea
Energy Efficient Maritime Transport through Autonomous Observations of Ocean and Ice - EMTOI
EcoSail - Eco-friendly and customer-driven Sail plan optimisation service
Spatio-temporal modelling of MetOcean environment for safe and energy efficient maritime transport
Marina droners with extreme persistence for more powerful monitoring of the marine environment
Big data based autonomous navigation system for safe and efficient shipping
ECMWF: Copernicus Climate Change Service (C3S) for Ship Navigation
SEDNA - Safe maritime operations under extreme conditions: the Arctic case
Satellite observations for ship navigation
Explore innovative solutions for arctic shipping
Wind assisted propulsion of merchant vessels
Ship performance modelling through big data techniques (SPLINE)
EONav - Earth Observation for Maritime Navigation
Energy efficient marine transport through energy systems analysis of ships
Modeling environmental loads and structural responses