A Probabilistic Uncertainty Estimation Method for Turbulence Parameters Measured by Hot-Wire Anemometry in Short-Duration Wind Tunnels

Autor:	Elissavet Boufidi, Sergio Lavagnoli, Fabrizio Fontaneto
Rok vydání:	2020
Předmět:	Physics::Fluid Dynamics 010309 optics Fuel Technology Nuclear Energy and Engineering Mechanical Engineering 0103 physical sciences Energy Engineering and Power Technology Aerospace Engineering 01 natural sciences 010305 fluids & plasmas
Zdroj:	Journal of Engineering for Gas Turbines and Power. 142
ISSN:	1528-8919 0742-4795
DOI:	10.1115/1.4044780
Popis:	A robust and complete uncertainty estimation method is developed to quantify the uncertainty of turbulence quantities measured by hot-wire anemometry (HWA) at the inlet of a short-duration turbine test rig. The uncertainty is categorized into two macro-uncertainty sources: the measurement-related uncertainty (the uncertainty of each instantaneous velocity sample) and the uncertainty stemming from the statistical treatment of the time series. The former is addressed by the implementation of a Monte Carlo (MC) method. The latter, which is directly related to the duration of the acquired signal, is estimated using the moving block bootstrap (MBB) method, a nonparametric resampling algorithm suitable for correlated time series. This methodology allows computing the confidence intervals of the spanwise distributions of mean velocity, turbulence intensity, length scales, and other statistical moments at the inlet of the turbine test section.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d5ce84967c9f7f512c88c9e8feffcbf0 https://doi.org/10.1115/1.4044780 Zobrazit plný text záznamu