Three-dimensional numerical modeling of local scour: A state-of-the-art review and perspective
This article aims to provide a comprehensive appraisal on the current status of three-
dimensional (3D) numerical modeling of local scour around instream hydraulic structures …
dimensional (3D) numerical modeling of local scour around instream hydraulic structures …
Wall model based on neural networks for LES of turbulent flows over periodic hills
In this work, a data-driven wall model for turbulent flows over periodic hills is developed
using the feedforward neural network (FNN) and data from wall-resolved large-eddy …
using the feedforward neural network (FNN) and data from wall-resolved large-eddy …
Time-averaged wind turbine wake flow field prediction using autoencoder convolutional neural networks
A convolutional neural network (CNN) autoencoder model has been developed to generate
3D realizations of time-averaged velocity in the wake of the wind turbines at the Sandia …
3D realizations of time-averaged velocity in the wake of the wind turbines at the Sandia …
Lagrangian dynamics of particle transport in oral and nasal breathing
We present a large-eddy simulation (LES) of saliva particle transport during normal human
breathing through the nose and mouth. The flow of the air–saliva mixture is modeled using …
breathing through the nose and mouth. The flow of the air–saliva mixture is modeled using …
Toward control co-design of utility-scale wind turbines: Collective vs. individual blade pitch control
A large-eddy simulation framework has been coupled with controller modules to
systematically investigate the impacts of collective (CPC) and individual (IPC) pitch control …
systematically investigate the impacts of collective (CPC) and individual (IPC) pitch control …
Coupling turbulent flow with blade aeroelastics and control modules in large-eddy simulation of utility-scale wind turbines
We present a large-eddy simulation framework capable of control co-design of large wind
turbines, coupling the turbulent flow environment with blade aeroelastics and turbine …
turbines, coupling the turbulent flow environment with blade aeroelastics and turbine …
Data‐Driven Prediction of Turbulent Flow Statistics Past Bridge Piers in Large‐Scale Rivers Using Convolutional Neural Networks
Prediction of statistical properties of the turbulent flow in large‐scale rivers is essential for
river flow analysis. The large‐eddy simulation (LES) provides a powerful tool for such …
river flow analysis. The large‐eddy simulation (LES) provides a powerful tool for such …
Aerial observations and numerical simulations confirm density‐driven streamwise vortices at a river confluence
When rivers collide, complex three‐dimensional coherent flow structures are generated
along the confluence's mixing interface. These structures mix streamborne pollutants and …
along the confluence's mixing interface. These structures mix streamborne pollutants and …
Predicting near-term, out-of-sample fish passage, guidance, and movement across diverse river environments by cognitively relating momentary behavioral decisions …
RA Goodwin, YG Lai, DE Taflin, DL Smith… - Frontiers in Ecology …, 2023 - frontiersin.org
Predicting the behavior of individuals acting under their own motivation is a challenge
shared across multiple scientific fields, from economic to ecological systems. In rivers, fish …
shared across multiple scientific fields, from economic to ecological systems. In rivers, fish …
On the morphodynamics of a wide class of large‐scale meandering rivers: insights gained by coupling LES with sediment‐dynamics
In meandering rivers, interactions between flow, sediment transport, and bed topography
affect diverse processes, including bedform development and channel migration. Predicting …
affect diverse processes, including bedform development and channel migration. Predicting …