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Yonghua Yan

Researcher at Jackson State University

Publications -  66
Citations -  715

Yonghua Yan is an academic researcher from Jackson State University. The author has contributed to research in topics: Vortex & Boundary layer. The author has an hindex of 13, co-authored 61 publications receiving 592 citations. Previous affiliations of Yonghua Yan include University of Texas at Arlington & University of Shanghai for Science and Technology.

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Physics of turbulence generation and sustenance in a boundary layer

TL;DR: In this paper, the authors proposed a new mechanism about turbulence generation and sustenance, that all small length scales (turbulence) are generated by shear layer instability produced by large vortex structure with multiple level vortex rings, multiple level sweeps and ejections, and multiple level negative and positive spikes near the laminar sub-layers.
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Vibrations of Double-Walled Carbon Nanotubes With Different Boundary Conditions Between Inner and Outer Tubes

TL;DR: In this article, a double-walled carbon nanotube (DWNT) is modeled as two individual elastic beams interacting each other by van der Waals forces and an original method is proposed to calculate the first seven order resonant frequencies and relative vibrational modes.
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Numerical discovery and experimental confirmation of vortex ring generation by microramp vortex generator

TL;DR: In this paper, it was pointed out by Li and Liu that the origin of momentum deficit comes from the shedding of boundary layer over Mircoramp vortex generators (MVG).
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DNS study on Λ-vortex and vortex ring formation in flow transition at Mach number 0.5

TL;DR: In this paper, a large vortex structure in late boundary layer transition with an inflow Mach number of 0.5 is studied by DNS (Direct Numerical Simulation) in the presence of no Λ-vortex tubes, contradicting what the existing literatures and textbooks addressed.
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Numerical study of micro-ramp vortex generator for supersonic ramp flow control at Mach 2.5

TL;DR: An implicit large eddy simulation, implemented using a fifth-order, bandwidth-optimized weighted essentially nonoscillatory scheme, was used to study the flow past a compression ramp at Mach 2.5 and the results suggested that MVGs may distinctly reduce the separation zone at the ramp corner and lower the boundary layer shape factor as discussed by the authors.