3 papers
physics.flu-dyn2021
Recurrent Neural Network for End-to-End Modeling of Laminar-Turbulent Transition
Muhammad I. Zafar, Meelan M. Choudhari, Pedro Paredes +1
Accurate prediction of laminar-turbulent transition is a critical element of computational fluid dynamics simulations for aerodynamic design across multiple flow regimes. Tradition…
physics.flu-dyn2020
Convolutional Neural Network for Transition Modeling Based on Linear Stability Theory
Muhammad I. Zafar, Heng Xiao, Meelan M. Choudhari +4
Transition prediction is an important aspect of aerodynamic design because of its impact on skin friction and potential coupling with flow separation characteristics. Traditionally…
physics.flu-dyn2020
Receptivity of the turbulent precessing vortex core: synchronization experiments and global adjoint linear stability analysis
J. S. Müller, F. Lückoff, P. Paredes +2
The Precessing Vortex Core (PVC) is a coherent structure that can arise in swirling jets from a global instability. In this work, the PVC is investigated under highly turbulent con…