60 citations · 156 across the 7 of their papers we have counts for
7 papers
Variational data assimilation in wall turbulence: From outer observations to wall stress and pressure
Mengze Wang, Tamer A. Zaki
Estimation of near-wall turbulence in channel flow from outer observations is investigated using adjoint-variational data assimilation. We first consider fully resolved velocity da…
State estimation in minimal turbulent channel flow: A comparative study of 4DVar and PINN
Yifan Du, Mengze Wang, Tamer A. Zaki
The state of turbulent, minimal-channel flow is estimated from spatio-temporal sparse observations of the velocity, using both a physics-informed neural network (PINN) and adjoint-…
Origin of Enhanced Skin Friction at the Onset of Boundary-Layer Transition
Mengze Wang, Gregory L. Eyink, Tamer A. Zaki
Boundary-layer transition is accompanied by a significant increase in skin friction whose origin is rigorously explained using the stochastic Lagrangian formulation of the Navier-S…
Synchronization of turbulence in channel flow
Mengze Wang, Tamer A. Zaki
Synchronization of turbulence in channel flow is investigated using continuous data assimilation. The flow is unknown within a region of the channel. Beyond this region the velocit…
From limited observations to the state of turbulence: Fundamental difficulties of flow reconstruction
Tamer A. Zaki, Mengze Wang
Numerical simulations of turbulence provide non-intrusive access to all the resolved scales, although they often invoke idealizations that can compromise realism. In contrast, expe…
From wall observations to turbulence: The difficulty of flow reconstruction
Qi Wang, Mengze Wang, Tamer A. Zaki
Estimation of the initial state of turbulent channel flow from spatially and temporally resolved wall data is performed using adjoint-variational data assimilation. The accuracy of…
State estimation in turbulent channel flow from limited observations
Mengze Wang, Tamer A. Zaki
Estimation of the initial state of turbulent channel flow from limited data is investigated using an adjoint-variational approach. The data are generated from a reference direct nu…