Towards real-time reconstruction of velocity fluctuations in turbulent channel flow

We develop a framework for efficient streaming reconstructions of turbulent velocity fluctuations from limited sensor measurements with the goal of enabling real-time applications. The reconstruction process is simplified by computing linear estimators using flow statistics from an initial training period and evaluating their performance during a subsequent testing period with data obtained from direct numerical simulation. We address cases where (i) no, (ii) limited, and (iii) full-field training data are available using estimators based on (i) resolvent modes, (ii) resolvent-based estimation, and (iii) spectral proper orthogonal decomposition modes. During training, we introduce blockwise inversion to accurately and efficiently compute the resolvent operator in an interpretable manner. During testing, we enable efficient streaming reconstructions by using a temporal sliding discrete Fourier transform to recursively update Fourier coefficients using incoming measurements. We use this framework to reconstruct with minimal time delay the turbulent velocity fluctuations in a minimal channel at ${\rm Re}_\tau \approx 186$ from sparse planar measurements. We evaluate reconstruction accuracy in the context of the extent of data required and thereby identify potential use cases for each estimator. The reconstructions capture large portions of the dynamics from relatively few measurement planes when the linear estimators are computed with sufficient fidelity. We also evaluate the efficiency of our reconstructions and show that the present framework has the potential to help enable real-time reconstructions of turbulent velocity fluctuations in an analogous experimental setting.Comment: 36 pages, 22 figures, accepted by Physical Review Fluid

Digital Signal Processing Research Program

Contains table of contents for Part III, table of contents for Section 1, an introduction and reports on seventeen research projects.U.S. Navy - Office of Naval Research Contract N00014-90-J-1544Charles S. Draper Laboratory Contract DL-H-404158Rockwell Corporation Doctoral FellowshipU.S. Navy - Office of Naval Research Grant N00014-89-J-1489U.S. Navy - Office of Naval Research Grant N00014-90-J-1109The Federative Republic of Brazil ScholarshipLockheed Sanders, Inc.National Science Foundation Grant MIP 87-14969AT&T Bell Laboratories Doctoral ProgramBell Northern Research Ltd.Defense Advanced Research Projects Agency Contract N00014-87-K-0825IBM CorporationSloan FoundationU.S. Air Force - Office of Scientific Research FellowshipU.S. Air Force - Office of Scientific Research Grant AFOSR-91-0034National Science Foundation Graduate FellowshipCanada, Natural Science and Engineering Research Council ScholarshipU.S. Air Force - Office of Scientific Research Grant AFOSR-91-0034Texas Instruments, Inc