Experimental data-driven deep neural network modeling and prediction for the streaks of turbulent separated shear flow

Key Points

• Accurate predictions of turbulent separated shear flow were achieved through advanced deep neural network techniques.
• The model successfully predicted specific flow patterns under varying conditions, indicating high reliability with an accuracy metric above 90%.
• Experimental data was utilized in the data-driven modeling approach to enhance predictions regarding shear flow dynamics.
• This study highlights the potential for deep learning models in fluid dynamics, requiring further validation across different flow conditions.