RESOURCES
Deliverables
Publications
AI-BASED DIGITAL TWIN MODELS TO MONITOR SHIP SAFETY & EFFICIENCY
AI-BASED DIGITAL TWIN MODELS TO MONITOR SHIP SAFETY & EFFICIENCY Mingyang Zhang , Pentti Kujala (Marine and Arctic Technology Group, Aalto University, Espoo, Finland) Presented at
OPERATIONAL DATA ANALYSIS
OPERATIONAL DATA ANALYSIS TO AID THE OPTIMIZATION OF RETROFIT SOLUTIONS WITHIN ‘RETROFIT55’ FRAMEWORK N. Themelis, School of Naval Architecture and Marine Engineering (NTUA)G. Nikolaidis, SimFWDV.
A SHIP DIGITAL TWIN FOR SAFE AND SUSTAINABLE SHIP OPERATIONS
A SHIP DIGITAL TWIN FOR SAFE AND SUSTAINABLE SHIP OPERATIONS Mingyang Zhang a, Spyros Hirdaris b, Nikolaos Tsoulakos c a Department of Mechanical Engineering, Marine Technology
ANALYSIS OF COMPRESSIBLE FLOW DURING THE WATER ENTRY OF A BODY EQUIPPED WITH AN AIR LUBRICATION SYSTEM
ANALYSIS OF COMPRESSIBLE FLOW DURING THE WATER ENTRY OF A BODY EQUIPPED WITH AN AIR LUBRICATION SYSTEM Sasan Tavakoli a, Spyros Hirdaris b a Marine and Arctic Technology
HYDRODYNAMIC OPTIMIZATION OF SHIPS
HYDRODYNAMIC OPTIMIZATION OF SHIPS WITH RETROFITTED WASP SYSTEMS Hannes F. Renzsch, Fabian Thies (Friendship Systems AG, Germany) Presented at Innov’Sails conference – May 2023ABSTRACT Wind
