1 citations · 1 across the 6 of their papers we have counts for
5 papers · 1 filter
Data-driven oscillator model for turbulent flows with multiple dominant frequencies
Youngjae Kim, Koichiro Yawata, Hiroya Nakao +1
The complex dynamics of high-dimensional oscillatory flows can be simplified using phase-reduction analysis, providing a deeper understanding of the flow response to external pertu…
Extreme Aerodynamics: A Data-Driven Perspective
Kunihiko Taira
While experiencing atmospheric turbulence on a commercial flight can be uncomfortable, it rarely compromises the stability of the aircraft. The situation is quite different for sma…
Using Optimal Transport Aligned Latent Embeddings for Separated Flow Analysis
Jonathan Quang Tran, Chi-An Yeh, Kunihiko Taira
Quantifying differences between flow fields is a key challenge in fluid mechanics, particularly when evaluating the effectiveness of flow control. Traditional vector metrics, such…
Phase-based analysis and control of supersonic turbulent cavity flows
Vedasri Godavarthi, Yoji Kawamura, Lawrence S. Ukeiley +2
We present a phase-based framework for reducing the pressure fluctuations within a spanwise-periodic supersonic turbulent cavity flow with an incoming free-stream Mach number of 1.…
Leveraging three-dimensionality for navigation in bluff-body wakes
Vedasri Godavarthi, Kartik Krishna, Steven L. Brunton +1
Biological flyers and swimmers navigate in unsteady wake flows using limited sensory abilities and actuation energies. Understanding how vortical structures can be leveraged for en…