46 citations · 91 across the 5 of their papers we have counts for
5 papers
Meta-Uncertainty for Particle Image Velocimetry
Lalit K. Rajendran, Sayantan Bhattacharya, Sally P. M. Bane +1
Uncertainty quantification for Particle Image Velocimetry (PIV) is critical for comparing flow fields with Computational Fluid Dynamics (CFD) results, and model design and validati…
Uncertainty-based pressure field reconstruction from PIV/PTV flow measurements with generalized least-squares
Jiacheng Zhang, Sayantan Bhattacharya, Pavlos P. Vlachos
A novel uncertainty-based pressure reconstruction method is proposed to evaluate the instantaneous pressure fields from velocity fields measured using particle image velocimetry (P…
Volumetric Particle Tracking Velocimetry (PTV) Uncertainty Quantification
Sayantan Bhattacharya, Pavlos P. Vlachos
We introduce the first comprehensive approach to determine the uncertainty in volumetric Particle Tracking Velocimetry (PTV) measurements. Volumetric PTV is a state-of-the-art non-…
Uncertainty Quantification in density estimation from Background Oriented Schlieren (BOS) measurements
Lalit K. Rajendran, Jiacheng Zhang, Sayantan Bhattacharya +2
We present an uncertainty quantification methodology for density estimation from Background Oriented Schlieren (BOS) measurements, in order to provide local, instantaneous, a-poste…
Particle Image Velocimetry (PIV) Uncertainty Quantification Using Moment of Correlation (MC) Plane
Sayantan Bhattacharya, John J. Charonko, Pavlos P. Vlachos
We present a new uncertainty estimation method for Particle Image Velocimetry (PIV), that uses the correlation plane as a model for the probability density function (PDF) of displa…