Bayesian interface technique-based inverse estimation of closure coefficients of standard \(k-\epsilon\) turbulence model by limiting the number of DNS data points for flow over a periodic hill
DOI10.1088/1361-6420/AD5A34MaRDI QIDQ6569724
Shubhankar Chakraborty, Nagendra Kumar Chaurasia
Publication date: 9 July 2024
Published in: Inverse Problems (Search for Journal in Brave)
sensitivity analysisdirect numerical simulationMetropolis-Hastings algorithmMarkov chain Monte Carlo simulationReynolds-averaged Navier-Stokes turbulence model
Stochastic analysis applied to problems in fluid mechanics (76M35) (k)-(varepsilon) modeling in turbulence (76F60) Direct numerical and large eddy simulation of turbulence (76F65)
Cites Work
- Bayesian estimates of parameter variability in the \(k-\varepsilon\) turbulence model
- Predictive RANS simulations via Bayesian model-scenario averaging
- Flow over periodic hills -- numerical and experimental study in a wide range of Reynolds numbers
- Development of DDES and IDDES formulations for the \(k\)-\(\omega \) shear stress transport model
- Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: a data-driven, physics-informed Bayesian approach
- A reduced order model based on Kalman filtering for sequential data assimilation of turbulent flows
- A hybrid approach combining DNS and RANS simulations to quantify uncertainties in turbulence modelling
- Estimation of parameters in multi-mode heat transfer problems using Bayesian inference - effect of noise and a priori
- The numerical computation of turbulent flows
- Bayesian calibration of the constants of the \(k-\varepsilon\) turbulence model for a CFD model of street canyon flow
- Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks
- Bayesian inverse problems for functions and applications to fluid mechanics
- Some Recent Developments in Turbulence Closure Modeling
- Highly resolved large-eddy simulation of separated flow in a channel with streamwise periodic constrictions
- An efficient very large eddy simulation model for simulation of turbulent flow
This page was built for publication: Bayesian interface technique-based inverse estimation of closure coefficients of standard \(k-\epsilon\) turbulence model by limiting the number of DNS data points for flow over a periodic hill
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6569724)
