31 citations · 32 across the 3 of their papers we have counts for
3 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★ 1 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…