Efficient assimilation of sparse data into RANS-based turbulent flow simulations using a discrete adjoint method
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Publication:2088382
DOI10.1016/j.jcp.2022.111667OpenAlexW4298009356MaRDI QIDQ2088382
Pasha Piroozmand, Oliver Brenner, Patrick Jenny
Publication date: 21 October 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jcp.2022.111667
Related Items (3)
Dimensionality reduction for regularization of sparse data-driven RANS simulations ⋮ Fast convergence strategy for ambiguous inverse problems based on hierarchical regularization ⋮ Deep learning closure models for large-eddy simulation of flows around bluff bodies
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