M
Michael M. Rogers
Researcher at Ames Research Center
Publications - 54
Citations - 4094
Michael M. Rogers is an academic researcher from Ames Research Center. The author has contributed to research in topics: Turbulence & Reynolds number. The author has an hindex of 24, co-authored 54 publications receiving 3911 citations. Previous affiliations of Michael M. Rogers include Stanford University.
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Spectral methods for the Navier-Stokes equations with one infinite and two periodic directions
TL;DR: In this paper, the Navier-Stokes equations in boundary layers and mixing layers are solved by two numerical methods which employ rapidly decaying spectral basis functions to approximate the vertical dependence of the solutions.
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Direct Simulation of a Self-Similar Turbulent Mixing Layer
TL;DR: In this article, three direct numerical simulations of incompressible turbulent plane mixing layers have been performed and all the simulations were initialized with the same two velocity fields obtained from a direct numerical simulation of a turbulent boundary layer with a momentum thickness Reynolds number of 300.
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The structure of the vorticity field in homogeneous turbulent flows
Michael M. Rogers,Parviz Moin +1 more
TL;DR: In this article, the structures of the vorticity fields in several homogeneous irrotational straining flows and a homogeneous turbulent shear flow were examined using a database generated by direct numerical simulation of the unsteady Navier-Stokes equations.
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The three-dimensional evolution of a plane mixing layer - The Kelvin-Helmholtz rollup
TL;DR: In this paper, the Kelvin Helmholtz roll up of three dimensional, temporally evolving, plane mixing layers were simulated numerically, starting from a few low wavenumber disturbances, usually derived from linear stability theory, in addition to the mean velocity profile.
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The three-dimensional evolution of a plane mixing layer: pairing and transition to turbulence
TL;DR: In this article, the authors simulate the evolution of three-dimensional temporally evolving plane mixing layers through as many as three pairings and find that pairing is able to inhibit the growth of infinitesimal 3D disturbances, and to trigger the transition to turbulence in highly 3D flows.