activity
20202022
most citedA computational study of expiratory particle transport and vortex dynamics during breathing with and without face masks

34 citations · 65 across the 4 of their papers we have counts for

collaborators

4 papers

physics.geo-ph2022★ 31 cited

On the morphodynamics of a wide class of large-scale meandering rivers: Insights gained by coupling LES with sediment-dynamics

Ali Khosronejad, Ajay B. Limaye, Zexia Zhang +3

In meandering rivers, interactions between flow, sediment transport, and bed topography affect diverse processes, including bedform development and channel migration. Predicting ho…

physics.flu-dyn2021

Prediction of three-dimensional flood-flow past bridge piers in a large-scale meandering river using convolutional neural networks

Zexia Zhang, Kevin Flora1, Seokkoo Kang +2

The prediction of statistical properties of turbulent flow in large-scale rivers is important for river flow analysis. Large-eddy simulations (LESs) provide a powerful tool for suc…

physics.flu-dyn2021★ 34 cited

A computational study of expiratory particle transport and vortex dynamics during breathing with and without face masks

Ali Khosronejad, Seokkoo Kang, Fabian Wermelinger +2

We present high-fidelity numerical simulations of expiratory biosol transport during normal breathing under indoor, stagnant air conditions with and without a facial mask. We inves…

physics.flu-dyn2020

Fluid dynamics simulations show that facial masks can suppress the spread of COVID-19 in indoor environments

Ali Khosronejad, Christian Santoni, Kevin Flora +4

The Coronavirus disease outbreak of 2019 has been causing significant loss of life and unprecedented economical loss throughout the world. Social distancing and face masks are wide…