3 papers
physics.flu-dyn2024
Drag prediction of rough-wall turbulent flow using data-driven regression
Zhaoyu Shi, Seyed Morteza Habibi Khorasani, Heesoo Shin +3
Efficient tools for predicting the drag of rough walls in turbulent flows would have a tremendous impact. However, methods for drag prediction rely on experiments or numerical simu…
physics.flu-dyn2024
Data-driven discovery of drag-inducing elements on a rough surface through convolutional neural networks
Heesoo Shin, Seyed Morteza Habibi Khorasani, Zhaoyu Shi +3
Understanding the influence of surface roughness on drag forces remains a significant challenge in fluid dynamics. This paper presents a convolutional neural network (CNN) that pre…
cs.LG2023
Effects of spatiotemporal correlations in wind data on neural network-based wind predictions
Heesoo Shin, Mario Rüttgers, Sangseung Lee
This paper investigates the influence of incorporating spatiotemporal wind data on the performance of wind forecasting neural networks. While previous studies have shown that inclu…