N
Nagi N. Mansour
Researcher at Ames Research Center
Publications - 228
Citations - 10146
Nagi N. Mansour is an academic researcher from Ames Research Center. The author has contributed to research in topics: Turbulence & K-epsilon turbulence model. The author has an hindex of 44, co-authored 215 publications receiving 9156 citations. Previous affiliations of Nagi N. Mansour include University of Illinois at Urbana–Champaign & Stanford University.
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Direct numerical simulation of turbulent channel flow up to Reτ=590
TL;DR: In this paper, numerical simulations of fully developed turbulent channel flow at three Reynolds numbers up to Reτ=590 were reported, and it was noted that the higher Reynolds number simulations exhibit fewer low Reynolds number effects than previous simulations at Reτ = 180.
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Reynolds-stress and dissipation-rate budgets in a turbulent channel flow
TL;DR: In this article, the Reynolds stresses and the dissipation rate of the turbulence kinetic energy are computed using direct simulation data of a turbulent channel flow using a closed-loop model, where the budget data reveal that all the terms in the budget become important close to the wall.
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Energy transfer in rotating turbulence
TL;DR: In this paper, the influence of rotation on the spectral energy transfer of homogeneous turbulence is investigated, and a model for the derivative-skewness factor is defined, which only involves a micro-Rossby number Ro(sup omega) = omega'/(2(OMEGA)).
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Topology of fine-scale motions in turbulent channel flow
TL;DR: In this article, topological features of the velocity gradient field of turbulent channel flow have been investigated using results from a direct numerical simulation for which the Reynolds number based on the channel halfwidth and the centreline velocity was 7860.
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Low Reynolds number k —ε modelling with the aid of direct simulation data
Wolfgang Rodi,Nagi N. Mansour +1 more
TL;DR: In this article, the epsilon budget of the k-epsilon model for fully developed channel flow is derived from direct numerical simulation (DNS) data for developed channel and boundary layer flow at two Reynolds numbers each.