Datasets

subject: Python subject: Aeronautics and Astronautics Engineering type: dataset

Total is 2 Results
PIV/BOS synthetic image generation in variable density environments for error analysis and experiment design

10.4231/P45Z-8361

Lalit Rajendran ORCID logo

08/26/2020

Ray tracin based image generation methodology to render realistic images of particle image velocimetry (PIV) and background oriented schlieren (BOS) experiments in the presence of density/refractive index gradients.

Aeronautics and Astronautics Engineering background oriented schlieren cuda particle image velocimetry Python ray tracing

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

10.4231/D2FC-N191

Jiacheng Zhang ORCID logo , Lalit Rajendran ORCID logo , Pavlos Vlachos ORCID logo , 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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