A team of researchers led by Nigel Goldenfeld and Björn Hof used statistical mechanics to study turbulence in fluid flows. They discovered that the transitions between laminar and turbulent flows occur through a non-equilibrium phase transition, known as directed percolation, at the critical point of the transition.
Researchers found a 27% decrease in mean friction and a 9% reduction in energy demand through pulsating pumping similar to the human heart. This approach could lead to less costly modifications than pipe wall changes or actuators, benefiting industrial applications.
A novel, low-cost sensor system utilizing force-sensing resistor technology has been developed by Pusan National University researchers for real-time pipeline monitoring. The system demonstrated a 99.4% correlation with commercial sensors, enabling accurate detection of pipeline damages.
Researchers from Aarhus University are developing a new approach to turbulence modelling using physics-constrained machine learning to accurately simulate complex turbulent systems. The goal is to reduce computational costs while maintaining accuracy, enabling more efficient designs and predictions in various fields.