Approach for uncertainty of turbulence modeling based on data assimilation technique

DOI10.1016/j.compfluid.2012.09.002zbMath1290.76042OpenAlexW1982428516MaRDI QIDQ2015965

Hiroshi Kato, Shigeru Obayashi

Publication date: 18 June 2014

Published in: Computers and Fluids (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.compfluid.2012.09.002

zbMATH Keywords

data assimilationturbulence modelmeasurement integrated simulation

Mathematics Subject Classification ID

Direct numerical and large eddy simulation of turbulence (76F65)

Related Items

Reconstruction of unsteady viscous flows using data assimilation schemes ⋮ Epistemic uncertainties in RANS model free coefficients ⋮ Evaluation of ensemble methods for quantifying uncertainties in steady-state CFD applications with small ensemble sizes ⋮ A bi-fidelity ensemble Kalman method for PDE-constrained inverse problems in computational mechanics ⋮ Determining \textit{a priori} a RANS model's applicable range via global epistemic uncertainty quantification ⋮ Small-scale reconstruction in three-dimensional Kolmogorov flows using four-dimensional variational data assimilation ⋮ Regularized ensemble Kalman methods for inverse problems ⋮ Efficient assimilation of sparse data into RANS-based turbulent flow simulations using a discrete adjoint method

Uses Software

• FaSTAR
• Spalart-Allmaras

Cites Work

• A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code

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