A low-order decomposition of turbulent channel flow via resolvent analysis and convex optimization
We combine resolvent-mode decomposition with techniques from convex optimization to optimally approximate velocity spectra in a turbulent channel. The velocity is expressed as a weighted sum of resolvent modes that are dynamically significant, non-empirical, and scalable with Reynolds number. To opt...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
2014-05-08.
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Subjects: | |
Online Access: | Get fulltext |