Πλοήγηση ανά Θέμα "Turbulence models"
Αποτελέσματα 1-9 από 9
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3D numerical investigation of poultry farms pollutant emissions over complex terrains
(2015)Wind mapping is of utmost importance in various environmental engineering applications concerning pollution dispersion. The available wind atlases usually provide wind data with low spatial resolution relative to pollution ... -
Analysis of airflow through experimental rural buildings: Sensitivity to turbulence models
(2007)Full-scale experimental data and computational fluid dynamics (CFD) methods are used to determine the accuracy of four different turbulence models [standard k-ε, k-ε renormalisation group (RNG), k-ε realisable, Reynolds ... -
Bayesian uncertainty quantification and propagation using adjoint techniques
(2014)This paper presents the Bayesian inference framework enhanced by analytical approximations for uncertainty quantification and propagation and parameter estimation. A Gaussian distribution is used to approximate the posterior ... -
Bayesian uncertainty quantification of turbulence models based on high-order adjoint
(2015)The uncertainties in the parameters of turbulence models employed in computational fluid dynamics simulations are quantified using the Bayesian inference framework and analytical approximations. The posterior distribution ... -
A comparative study of numerical schemes and turbulence models for wind turbine aerodynamics modelling
(2004)This paper is a comparative study of combining turbulence models and interpolation schemes to calculate turbulent flow around a NACA0012 airfoil before and after separation. The calculations were carried out using the code ... -
Direct numerical simulation of particle-laden turbulent channel flows with two- and four-way coupling effects: Models of terms in the Reynolds stress budgets
(2017)In the first part of this study (Dritselis 2016 Fluid Dyn. Res. 48 015507), the Reynolds stress budgets were evaluated through point-particle direct numerical simulations (pp-DNSs) for the particle-laden turbulent flow in ... -
Optimal sensor location for model parameter estimation in CFD
(2013)In this paper the optimal sensor location problem for the estimation of model parameters in computational fluid dynamics is presented. A Bayesian formulation is used to quantify the uncertainties in the model parameters ... -
Posterior robust optimization for design update based on measurements
(2015)A Bayesian unified framework is proposed for data-informed robust design optimization. Models of uncertainties postulated in conventional robust design optimization are treated as prior uncertainties in a Bayesian context. ... -
Α dual-hop equivalent structure of a generalised multi-hop free-space optics network
(2021)The performance of free-space optics links strongly depends on scintillation effects caused by the atmospheric turbulence appearance. A widely adopted way to counterbalance the expected deterioration due to scintillation ...