Linear Stochastic Estimation on flow over a backward facing-step

dc.contributor.advisorHall, Joseph
dc.contributor.authorHashemi, Seyyed Mahmoodreza
dc.date.accessioned2024-05-21T13:31:11Z
dc.date.available2024-05-21T13:31:11Z
dc.date.issued2024-03
dc.description.abstractIn the active flow control, Stochastic Estimation (SE) is a beneficial tool to predict the time-resolved flow field as it offers acceptable short-in-line processing time with higher temporal and spatial resolution. In SE, a correlation between the desired variable and the corresponding time-resolved point measurements obtained from a few locations, must be built. These correlations are employed to estimate the desired flow property. This study delves into SE methods, comparing the conventional SE method with a relatively unexplored technique, Spectral Linear Stochastic Estimation (SLSE) in the flow over a backward-facing step. The study found that conventional SE underestimates fluctuations, suggesting improved accuracy with increased sensor points. SLSE, while enhancing estimation, tends to overpredict structures. A sensor placement analysis addressed these challenges, finding that 8-point sensors, concentrated before the reattachment point, yield the best accuracy. This research aims to advance the understanding and optimization of stochastic estimation for improved flow prediction.
dc.description.copyright©Seyyed Mahmoodreza Hashemi, 2024
dc.format.extentx, 97
dc.format.mediumelectronic
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/37820
dc.language.isoen
dc.publisherUniversity of New Brunswick
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineMechanical Engineering
dc.titleLinear Stochastic Estimation on flow over a backward facing-step
dc.typemaster thesis
oaire.license.conditionother
thesis.degree.disciplineMechanical Engineering
thesis.degree.grantorUniversity of New Brunswick
thesis.degree.levelmasters
thesis.degree.nameM.Sc.E.

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