13 citations · 27 across the 25 of their papers we have counts for
4 papers · 1 filter
Two-point Turbulence Closures in Physical Space
Noah Zambrano, Karthik Duraisamy
This work presents a predictive two-point statistical closure framework for turbulence formulated in physical space. A closure model for ensemble-averaged, incompressible homogeneo…
Stochastic Wavevector Model for Rapidly-Distorted Compressible Turbulence
Noah Zambrano, Karthik Duraisamy
A stochastic wavevector approach is formulated to accurately represent compressible turbulence subject to rapid deformations. This approach is inspired by the incompressible partic…
A new dynamic slip approach for wall-modeled Large Eddy Simulations in a Consistent Discontinuous Galerkin Framework
Pratikkumar Raje, Karthik Duraisamy
A wall-modeled large eddy simulation approach is proposed in a Discontinuous Galerkin (DG) setting, building on the slip-wall concept of Bae et al. (JFM'19) and the universal scali…
Assessing turbulence sensitivity using stochastic Monte Carlo analysis
K. Duraisamy, Anand A., G. Iaccarino
Reynolds Averaged Navier Stokes (RANS) models represent the workhorse for studying turbulent flows in industrial applications. Such single-point turbulence models have limitations…