The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/20495787

Sagar Adatrao; Andrea Sciacchitano (2022): MATLAB scripts created during the work on "Design of experiments: a statistical tool for PIV uncertainty quantification". Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/20495787.v1

Software

• Statistics
• Mechanical Engineering
• Aerospace Engineering

Design of Experiement (DOE), Particle Image Velocimetry, systematic uncertainty, uncertainty quantification

MIT

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Sagar Adatrao , Andrea Sciacchitano

This dataset contains MATLAB scripts created during the work on "Design of experiments: a statistical tool for PIV uncertainty quantification". The proposed UQ approach is applied to estimate the uncertainties in time-averaged velocity and Reynold normal stresses in planar PIV measurements of the flow over a NACA0012 airfoil. The approach is also used to the investigation by stereoscopic PIV of the flow at the outlet of a ducted Boundary Layer Ingesting (BLI) propulsor. The codes in this dataset are used for these two experimental cases. 

• 2022-09-29 first online, published, posted

4TU.ResearchData

.m (accessed using MATLAB)

Design of experiments: a statistical tool for PIV uncertainty quantification

https://doi.org/10.4121/20496108

• Dutch Research Organization NWO domain Applied and Engineering Sciences, 15854

Faculty of Aerospace Engineering, Delft University of Technology, The Netherlands