Sensor-based Estimation of Coherent Velocity Fields in Quasi-periodic Wakes

atmire.migration.oldid5559
dc.contributor.advisorMartinuzzi, Robert
dc.contributor.authorAmani, Anna
dc.contributor.committeememberSudak, Leszek Jozef
dc.contributor.committeememberWood, David Howe
dc.contributor.committeememberSezer, Ayse Deniz
dc.date.accessioned2017-05-01T17:14:32Z
dc.date.available2017-05-01T17:14:32Z
dc.date.issued2017
dc.date.submitted2017en
dc.description.abstractThe turbulent wake of a surface-mounted square-based finite bluff bodies is of heuristic interest. Estimating and synchronizing the planar velocity field obtained from the independent two-dimensional measurement (Particle Image Velocimetry) allows for the reconstruction of the three-dimensional coherent part of velocity field over a volume. In principle, this three-dimensional reconstruction makes it possible to investigate the global dynamics of coherent motions in turbulent wakes as a fundamental step towards understanding the energy transfer between scales of motion and ultimately the generation of the Reynolds Stress field. In this work, the effect of sensor location on sensor-based estimation of the coherent velocity field in the wake of a surface-mounted pyramid obstacle is considered. Three different pressure sensor arrangements studied in this work are: (i) 6-sensor arrangement with the sensors on the obstacle (ii) 4-sensor arrangement which sensors are located in the wake on the base plate and (iii) 10-sensor arrangement with all 10 sensors. Based on the discussion and results provided, a new time lag τ_1 is introduced to account for the convective delay between velocity field and pressure data sensors on the obstacle. Next, large-scale coherent structures of the wakes are analysed in terms of two main topological features. It was found that accounting for mode-specific lag is a very effective strategy for increasing the reliability of the estimation. At the end, three-dimensional reconstruction of the vortex structure is presented. Comparison of different cases of these three sensor arrangements shows the importance of the sensors on the base.en_US
dc.identifier.citationAmani, A. (2017). Sensor-based Estimation of Coherent Velocity Fields in Quasi-periodic Wakes (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27754en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/27754
dc.identifier.urihttp://hdl.handle.net/11023/3783
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity 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.
dc.subjectEngineering--Mechanical
dc.subject.otherturbulent
dc.subject.otherbluff bodies
dc.subject.otherwake
dc.subject.otherSensor-based estimation
dc.titleSensor-based Estimation of Coherent Velocity Fields in Quasi-periodic Wakes
dc.typemaster thesis
thesis.degree.disciplineMechanical and Manufacturing Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
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