The simulation of turbulent flows is critical to the transport and energy industries, but it is often limited by the computational cost of resolving fine turbulent flow scales. FastFlows overcomes this challenge with a unified framework that integrates computational fluid dynamics, physics-based machine learning and high-performance computing. Through the use of a generative time-stepping model and advanced data-driven methods, the time-to-solution of scale-resolving turbulent flow simulations is greatly reduced. This enables the integration of such simulations into rapid industrial design cycles, providing accurate and physical solutions with reduced turnaround time.

Slew bearings are specialized bearings designed for heavy-duty rotational movement in the presence of very large loads. Notable applications are in wind turbines, heavy-lifting cranes, FPSO turrets, and offloading buoys. Researchers at TU Delfts Maritime and Transport Technology department have developed an innovative method for condition monitoring of slew bearings. The technology uses quantitative analysis of ultrasonic waves emitted by progressing faults during operation to update a digital twin of the bearing. This advancement enables predictive maintenance, enhances safety of the operation and the environment, and saves substantial costs.

Potential advances in living on the water or delta, harnessing the power of the oceans, and safely traversing the seas present major innovations coupled with unique challenges. How can we ensure that these systems and megastructures are safe for present use and for a future ocean climate harshened by climate change? Extreme wave loading can lead to serious structural challenges. Therefore, this research project focuses on new design techniques for complex marine systems to ensure these innovative systems are reliable and robust. With such techniques, creative design solutions can arise to meet the challenges of life and travel at sea.