As early as at the end of the 19th century, shortly after mathematical rules describing fluid
flow—such as the Navier–Stokes equations—were developed, the idea of using them for …

Solving the hydrodynamical equations in urban canopies often requires substantial
computational resources. This is especially the case when tackling urban wind comfort …

We propose an invariant feature space for the detection of viscous-dominated and turbulent
regions (ie, boundary layers and wakes). The developed methodology uses the principal …

In this paper, we put forth an evolve-then-correct reduced order modeling approach that
combines intrusive and nonintrusive models to take hidden physical processes into account …

Data-driven methods for computer simulations are blooming in many scientific areas. The
traditional approach to simulating physical behaviors relies on solving partial differential …

For a few decades, machine learning has been extensively utilized for turbulence research.
The goal of this work is to investigate the reconstruction of turbulence from minimal or lower …

This thesis presents a comprehensive approach for the analysis and simulation of
incompressible flows, focusing on the identification of viscous-dominated and turbulent …