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Yulia Peet

Researcher at Arizona State University

Publications -  59
Citations -  596

Yulia Peet is an academic researcher from Arizona State University. The author has contributed to research in topics: Turbulence & Large eddy simulation. The author has an hindex of 12, co-authored 50 publications receiving 484 citations. Previous affiliations of Yulia Peet include Stanford University & Northwestern University.

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Journal ArticleDOI

Theoretical prediction of turbulent skin friction on geometrically complex surfaces

TL;DR: In this article, the authors extended the theoretical analysis of Fukagata et al. to a fully three-dimensional situation allowing complex wall shapes, by considering arbitrarily-shaped surfaces and then formulate a restriction on a surface shape for which the current analysis is valid.
Proceedings ArticleDOI

Turbulent Drag Reduction using Sinusoidal Riblets with Triangular Cross-Section

TL;DR: In this article, a large eddy simulation of a turbulent flow over a riblet-covered surface is performed for three cases: straight riblets and sinusoidal riblests with two different values of wavelength.
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Pressure loss reduction in hydrogen pipelines by surface restructuring

TL;DR: In this article, the use of organized micro-structures on pipeline walls is proposed to obtain lower values of pressure losses with respect to smooth walls, and an optimum configuration maximizing the total drag reduction is proposed.
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Large-scale thermal motions of turbulent Rayleigh–Bénard convection in a wide aspect-ratio cylindrical domain

TL;DR: In this paper, large-scale structures that occur in turbulent Rayleigh-Benard convection in a wide-aspect-ratio cylindrical domain are studied by means of direct numerical simulation.
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A spectrally accurate method for overlapping grid solution of incompressible Navier-Stokes equations

TL;DR: An overlapping mesh methodology that is spectrally accurate in space and up to third-order accurate in time is developed for solution of unsteady incompressible flow equations in three-dimensional domains.