Arctic Hive Mind

Arctic Hive Mind

Our goal is to identify and develop technology for ice-covered waters

We challenge existing practices and work across disciplines such as marine engineering, applied machine learning, computational ice mechanics, and risk modelling.

Core technologies from this group support applications such as digital infrastructure for coordinated observations of ice conditions and forecasting, design and operation of marine structures exposed to the risk of ice impact, human-centered exploration and understanding of harsh environments.

Research skills and expertise

Research skills and expertise

  • Algorithms for collaborative sea ice monitoring, including ice object(s) detection, localization and mapping, and characterization of uncertainties.
  • Risk models for multi-agent systems in ice, including escort and convoy operations.
  • Algorithms for modelling of local ice loads, including phase transitions in ice during crushing as well as multiphysics simulations of ice-water-structure interaction(s)

Highlights

Highlights


Collaborations

Collaborations

Local ice loads during crushing

Multiphysics simulations

Multiphysics simulations

Coupled collision simulations that enable detailed analysis of the local and global structural response of the floating wind system to combined wave and ice loads.