47 citations · 78 across the 14 of their papers we have counts for
4 papers · 1 filter
A deep-learning approach for reconstructing 3D turbulent flows from 2D observation data
Mustafa Z. Yousif, Linqi Yu, Sergio Hoyas +2
Turbulence is a complex phenomenon that has a chaotic nature with multiple spatio-temporal scales, making predictions of turbulent flows a challenging topic. Nowadays, an abundance…
High-resolution large-eddy simulations of simplified urban flows
Marco Atzori, Pablo Torres, Alvaro Vidal +3
High-fidelity large-eddy simulations of the flow around two rectangular obstacles are carried out at a Reynolds number of 10,000 based on the free-stream velocity and the obstacle…
On the generation and destruction mechanisms of arch vortices in urban fluid flows
Eneko Lazpita, Álvaro Martínez-Sánchez, Adrián Corrochano +3
Studying and interpreting the different flow patterns present in urban areas is becoming essential since they help develop new approaches to fight climate change through an improve…
Data-driven assessment of arch vortices in simplified urban flows
Álvaro Martínez-Sánchez, Eneko Lazpita, Adrián Corrochano +3
Understanding flow structures in urban areas is widely recognized as a challenging concern due to its effect on urban development, air quality, and pollutant dispersion. In this st…