4 citations · 4 across the 3 of their papers we have counts for
3 papers
Data-driven correlations for thermohydraulic roughness properties
Simon Dalpke, Jiasheng Yang, Pourya Forooghi +2
The influence of rough surfaces on fluid flow is characterized by the downward shift in the logarithmic layer of velocity and temperature profiles, namely the velocity roughness fu…
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…
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…