Linear and nonlinear sensor placement strategies for mean-flow reconstruction via data assimilation
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Publication:4957372
DOI10.1017/jfm.2021.488zbMath1502.76054OpenAlexW3185405991MaRDI QIDQ4957372
Publication date: 8 September 2021
Published in: Journal of Fluid Mechanics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/jfm.2021.488
well-posednessvariational methodwake flowdominant singular mode reconstructionlinearized Reynolds-averaged Navier-Stokes equationssecond-order adjoint-based method
Variational methods applied to problems in fluid mechanics (76M30) Turbulence (76F99) Mathematical modeling or simulation for problems pertaining to fluid mechanics (76-10)
Related Items (3)
Dimensionality reduction for regularization of sparse data-driven RANS simulations ⋮ Four-dimensional variational data assimilation of a turbulent jet for super-temporal-resolution reconstruction ⋮ Optimized parametric inference for the inner loop of the multigrid ensemble Kalman filter
Uses Software
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