most citedThree-dimensional realizations of flood flow in large-scale rivers using the neural fuzzy-based machine-learning algorithm

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

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

Uncertainty Quantification of Large-Eddy Simulation Results of Riverine Flows: A Field and Numerical Study

K. Flora, A. Khosronejad

We present large-eddy simulations (LESs) of riverine flow in a study reach in the Sacramento River, California. The riverbed bathymetry was surveyed in high-resolution using a mult…

physics.flu-dyn2021

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-dyn20211 cited

Three-dimensional realizations of flood flow in large-scale rivers using the neural fuzzy-based machine-learning algorithm

Zexia Zhang, Ajay B. Limaye, Ali Khosronejad

Machine learning methods have been extensively used to study the dynamics of complex fluid flows. One such algorithm, known as adaptive neural fuzzy inference system (ANFIS), can g…

physics.comp-ph2021

Eulerian numerical modeling of contaminant transport in Lower Manhattan, New York City, from a point-source release under the dominant wind condition: Insights gained via LES

Wayne R. Oaks, Kevin Flora, Ali Khosronejad

Released pollutants and poisonous chemicals in the highly-populated urban areas can spread via wind flow and affect the health, safety, and wellbeing of those close to the source a…

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…