Reconstruction and Estimation of Flows Using Resolvent Analysis and Data-Assimilation

Reconstruction and Estimation of Flows Using Resolvent Analysis and Data-Assimilation

<p>A flow reconstruction methodology is presented for incompressible, statistically stationary flows using resolvent analysis and data-assimilation. The only inputs necessary for the procedure are a rough approximation of the mean profile and a single time-resolved measurement. The objective i...

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Bibliographic Details
Main Author: Symon, Sean Pearson
Format: Others
Published: 2018
Online Access:https://thesis.library.caltech.edu/10976/14/symon_thesis_2018.pdf
Symon, Sean Pearson (2018) Reconstruction and Estimation of Flows Using Resolvent Analysis and Data-Assimilation. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/B4K7-K876. https://resolver.caltech.edu/CaltechTHESIS:05302018-181049042 <https://resolver.caltech.edu/CaltechTHESIS:05302018-181049042>

Internet

https://thesis.library.caltech.edu/10976/14/symon_thesis_2018.pdf
Symon, Sean Pearson (2018) Reconstruction and Estimation of Flows Using Resolvent Analysis and Data-Assimilation. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/B4K7-K876. https://resolver.caltech.edu/CaltechTHESIS:05302018-181049042 <https://resolver.caltech.edu/CaltechTHESIS:05302018-181049042>

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