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Julio Soria

Researcher at Monash University

Publications -  427
Citations -  9562

Julio Soria is an academic researcher from Monash University. The author has contributed to research in topics: Particle image velocimetry & Reynolds number. The author has an hindex of 49, co-authored 416 publications receiving 8310 citations. Previous affiliations of Julio Soria include Monash University, Clayton campus & King Abdulaziz University.

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Tomographic particle image velocimetry investigation of the flow in a modeled human carotid artery bifurcation

TL;DR: In this paper, a tomographic PIV (Tomo-PIV) measurement of the flow structure and wall shear stress (WSS) in a physiologically accurate model of the human carotid artery bifurcation is presented.
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PIV measurements of a zero-net-mass-flux jet in cross flow

TL;DR: In this paper, phase-averaged in-plane velocity and out-of-plane vorticity vector fields in the jet near field are pre-sented and the time-dependent volume flow is calculated to study the structure of the jets.
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Direct numerical simulation of a self-similar adverse pressure gradient turbulent boundary layer

TL;DR: The statistical properties of a self-similar adverse pressure gradient (APG) turbulent boundary layer (TBL) are presented in this paper, which is generated via the direct numerical simulation of a TBL on a flat surface with a farfield boundary condition designed to apply the desired pressure gradient.
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Near-wall statistics of a turbulent pipe flow at shear Reynolds numbers up to 40 000

TL;DR: In this article, the authors report on near-wall 2C-2D particle image velocimetry (PIV) measurements of a turbulent pipe flow at shear Reynolds numbers up to 40000$ acquired in the CICLoPE facility of the University of Bologna.
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Direct numerical simulation of a self-similar adverse pressure gradient turbulent boundary layer at the verge of separation

TL;DR: In this article, a self-similar adverse pressure gradient (APG) turbulent boundary layer (TBL) at the verge of separation is simulated using direct numerical simulation (DNS) on a flat surface with farfield boundary conditions tailored to apply the desired pressure gradient.