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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…
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…
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…
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…
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…