Datasets

creator: Pavlos Vlachos, 0000-0002-8040-9257

Total is 13 Results
In vitro CFD, MRI, STB Series

10.4231/ZP8A-2G12

Benjamin Dickerhoff, David Saloner, Melissa Brindise, Michael Markl, Pavlos Vlachos, 0000-0002-8040-9257 Sean Rothenberger, 0000-0003-1341-6147, Susanne Schnell, Vitaliy Rayz

11/01/2019

Data from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models, processed using Shake the Box (STB). Associated in vivo MRI and CFD datasets are also provided.

Biomedical Engineering Cerebral Aneurysm CFD Experimental Tests Fluid Mechanics Matlab MRI PIV Shake the Box

To Seal or Not To Seal: Study of Splashes

10.4231/JQ7R-YS20

Javad Eshraghi, 0000-0002-1468-3805, Pavlos Vlachos, 0000-0002-8040-9257 Sunny Jung

02/17/2021

Data from the water entry of hydrophobic spheres experiment used to reveal the criteria in the occurrence of surface seal.

Experimental Tests Fluid Mechanics image processing Matlab Mechanical Engineering Physics

Estimation of the Probability Density Function of Random Displacements from Images

10.4231/34TJ-S109

Adib Ahmadzadegan, 0000-0002-1155-1401, Arezoo Ardekani, Pavlos Vlachos, 0000-0002-8040-9257

07/27/2020

We introduce a novel approach to Image-based Probability Estimation of Displacement (iPED) which is direct estimation of the PDF of displacement of racers within images. Data sets to reproduce the plots and sample images are available here.

Diffusion measurement image processing Mechanical Engineering particle image velocimetry Probability density function estimation Random Process

A data assimilation method for analysis of cavitation bubble dynamics

10.4231/0YAM-9T87

Arezoo Ardekani, Javad Eshraghi, 0000-0002-1468-3805, Pavlos Vlachos, 0000-0002-8040-9257

04/13/2021

Here, we present a novel state-observer data-assimilation technique designed to fuse time-resolved cavitation bubble diameter measurements with a governing model to yield enhanced Spatio-temporal prediction of the cavitation bubble dynamics.

Cavitation Data assimilation Experimental Tests Fluid Mechanics image processing Mechanical Engineering Physics PID controller

Uncertainty quantification in density estimation from background oriented schlieren (BOS) measurements

10.4231/D2FC-N191

Jiacheng Zhang, 0000-0002-9027-6531, Lalit Rajendran, 0000-0002-5673-6063, Pavlos Vlachos, 0000-0002-8040-9257 Sally P M Bane, Sayantan Bhattacharya

05/18/2021

We present an uncertainty quantification methodology for density estimation from background-oriented Schlieren (BOS) measurements, in order to provide local, instantaneous, a posteriori uncertainty bounds on each density measurement in the field...

Aeronautics and Astronautics Engineering background oriented schlieren Numerical Analysis Python uncertainty quantification

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