Quantification of model uncertainty in RANS simulations: A review
In computational fluid dynamics simulations of industrial flows, models based on the
Reynolds-averaged Navier–Stokes (RANS) equations are expected to play an important …
Reynolds-averaged Navier–Stokes (RANS) equations are expected to play an important …
[HTML][HTML] Accuracy of CFD simulations in urban aerodynamics and microclimate: Progress and challenges
This review outlines historical and recent research progress on the accuracy of
computational fluid dynamics (CFD) simulations of urban aerodynamics and microclimates …
computational fluid dynamics (CFD) simulations of urban aerodynamics and microclimates …
[HTML][HTML] Pedestrian-level wind conditions around buildings: Review of wind-tunnel and CFD techniques and their accuracy for wind comfort assessment
Abstract Information on pedestrian-level wind (PLW) speed for wind comfort assessment can
be obtained by wind-tunnel measurements or Computational Fluid Dynamics (CFD) …
be obtained by wind-tunnel measurements or Computational Fluid Dynamics (CFD) …
An interpretable framework of data-driven turbulence modeling using deep neural networks
Reynolds-averaged Navier–Stokes simulations represent a cost-effective option for practical
engineering applications, but are facing ever-growing demands for more accurate …
engineering applications, but are facing ever-growing demands for more accurate …
Eigenspace perturbations for uncertainty estimation of single-point turbulence closures
Reynolds-averaged Navier-Stokes (RANS) models represent the workhorse for predicting
turbulent flows in complex industrial applications. However, RANS closures introduce a …
turbulent flows in complex industrial applications. However, RANS closures introduce a …
Data-driven quantification of model-form uncertainty in Reynolds-averaged simulations of wind farms
Computational fluid dynamics using the Reynolds-averaged Navier–Stokes (RANS) remains
the most cost-effective approach to study wake flows and power losses in wind farms. The …
the most cost-effective approach to study wake flows and power losses in wind farms. The …
Predictive large eddy simulations for urban flows: Challenges and opportunities
Computational fluid dynamics predictions of urban flow are subject to several sources of
uncertainty, such as the definition of the inflow boundary conditions or the turbulence model …
uncertainty, such as the definition of the inflow boundary conditions or the turbulence model …
Confronting grand challenges in environmental fluid mechanics
Environmental fluid mechanics underlies a wealth of natural, industrial, and, by extension,
societal challenges. In the coming decades, as we strive towards a more sustainable planet …
societal challenges. In the coming decades, as we strive towards a more sustainable planet …
Design exploration and optimization under uncertainty
Computational strategies that explicitly quantify uncertainties are becoming increasingly
used in aerospace applications to improve the consistency in reliability, robustness, and …
used in aerospace applications to improve the consistency in reliability, robustness, and …
Quantifying structural uncertainties in Reynolds-averaged Navier–Stokes simulations of wind turbine wakes
SD Hornshøj-Møller, PD Nielsen, P Forooghi… - Renewable Energy, 2021 - Elsevier
Abstract Reynolds-averaged Navier Stokes (RANS) based modeling is considered the
mainstream computational fluid dynamics (CFD) approach for wind energy applications …
mainstream computational fluid dynamics (CFD) approach for wind energy applications …