Searched for: subject%3A%22Uncertainty%255C%252Bquantification%22
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document
Adatrao, S. (author), Bertone, M. (author), Sciacchitano, A. (author)
A novel approach is devised for the quantification of systematic uncertainty due to peak locking in particle image velocimetry (PIV), which also leads to correction of the peak-locking errors. The approach, applicable to statistical flow properties such as time-averaged velocity and Reynolds stresses, relies on image recordings with multiple...
journal article 2021
document
Sciacchitano, A. (author)
Particle image velocimetry (PIV) has become the chief experimental technique for velocity field measurements in fluid flows. The technique yields quantitative visualizations of the instantaneous flow patterns, which are typically used to support the development of phenomenological models for complex flows or for validation of numerical...
review 2019
document
Sciacchitano, A. (author), Wieneke, Bernhard (author)
This paper discusses the propagation of the instantaneous uncertainty of PIV measurements to statistical and instantaneous quantities of interest derived from the velocity field. The expression of the uncertainty of vorticity, velocity divergence, mean value and Reynolds stresses is derived. It is shown that the uncertainty of vorticity and...
journal article 2016
document
Sciacchitano, A. (author)
Particle Image Velocimetry (PIV) is a well-established technique for the measurement of the flow velocity in a two or three-dimensional domain. As in any other technique, PIV data is affected by measurement errors, defined as the difference between the measured velocity and its actual value, which is unknown. Aim of uncertainty quantification is...
doctoral thesis 2014
Searched for: subject%3A%22Uncertainty%255C%252Bquantification%22
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