Martinuzzi, RobertMorton, ChrisVocke, Maegan2023-05-092023-05-092023-05-01Vocke, M. (2023). Advection-based spatiotemporal reconstruction techniques for turbulent velocity fields (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.http://hdl.handle.net/1880/116197Turbulent flows are characterized by interactions of widespread spatiotemporal scales. Experimental techniques such as Particle Image Velocimetry can provide correlated flow measurements, however, obtaining suitable resolution of temporal and spatial scales remains challenging. This work investigates the ability of an advection-based flow reconstruction technique to increase the temporal resolution of turbulent flow data. A semi-Lagrangian technique is used to obtain instantaneous fluid trajectories through a forward and backward integration of the known data. The estimates are then fused using a temporal weighting scheme to yield velocity fields at intermediate times. The performance of the method is verified against a benchmark direct numerical simulation (DNS) data set. Spectral information up to two orders of magnitude beyond the Nyquist criteria is successfully - surpassing the performance of previously introduced methods. Correlation maps are used to quantify the spatial loss of memory and define a criterion for the maximum recoverable frequency.enUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.TurbulenceParticle Image VelocimetryRapid Distortion TheoryNyquist FrequencyEngineering--Mechanicalmaster thesis