Monte-Carlo simulation study for uncertainty evaluation in turbulent statistics obtained by constant-temperature anemometry

Kenji Fujita, Hiroki Suzuki, Shinsuke Mochizuki

Research output: Contribution to journalConference articlepeer-review

Abstract

We evaluate the uncertainty of a recalibration scheme correcting for measurements of constant-temperature anemometry (CTA), where an observed velocity by CTA would be affected by variations in ambient temperature in an experiment. The present study elucidates the characteristics of the uncertainty quantitatively. A temporally evolving calibration curve is used to examine the uncertainty of the calibration curve. In the present study, we consider the temporally evolving curve to be a reference curve. The calibration curve predicted by the scheme is first examined. Here, the uncertainty of the gradient of the calibration curve is also considered. A Monte-Carlo simulation investigates the uncertainty in intensity and higherorder statistics of output-voltage fluctuation. Using the gradient of the calibration curve, this study derives a model for the statistics of the output voltage fluctuation, which is validated by the numerical simulation based on the Monte-Carlo simulation.

Original languageEnglish
Article number012068
JournalJournal of Physics: Conference Series
Volume1324
Issue number1
DOIs
Publication statusPublished - Oct 14 2019
Externally publishedYes
Event2nd International Conference on Physics, Mathematics and Statistics, ICPMS 2019 - Hangzhou, China
Duration: May 22 2019May 24 2019

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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