Wind engineering has a central role to play in sustainable and climate adaptive design of buildings and cities. The current state-of-the-art in High-Performance Computing (HPC) and Computational Fluid Dynamics (CFD) brings the long anticipated ‘virtual wind tunnel’ concept within reach. Carefully designed CFD simulations can provide accurate predictions for a variety of wind engineering flows, and exciting opportunities arise to address urban flow problems that are challenging to investigate in wind tunnels at reduced scale. Examples of such problems are those involving heat transfer, such as the analysis of natural cooling of buildings and urban heat island effects, those involving multi-phase flow problems, such as wind-driven rain, and those involving non-neutral and non-synoptic surface layer winds.
This collection aims to explore the frontiers of methods and applications in computational wind engineering. The high flow Reynolds numbers, the complexity and variability of the boundary conditions and geometries, and the multi-scale and multi-physics nature of wind engineering flows all pose challenges towards accurate and efficient numerical modeling. These challenges should be addressed by proposing and evaluating novel methods and modeling frameworks that aim to improve the predictive capability and efficiency of computational wind engineering. Simultaneously, novel applications should be explored to continue to advance the field and contribute towards realizing the full potential of the virtual wind tunnel concept.
Specific topics of interest include, but are not limited to:
• advances in numerical methods;
• advances in (subgrid) turbulence and wall models;
• advances in data-driven modeling, uncertainty quantification and sensitivity analysis;
• advances in the definition of inlet conditions, including modeling non-synoptic and non-neutral wind conditions;
• multi-scale modeling, including coupling of models at the building to regional scale;
• validation studies and applications for assessing wind comfort, pollutant dispersion, building ventilation and cooling, urban heat island effects and flows in complex topography.
Authors are also encouraged to identify future research needs and directions for the computational wind engineering community.
Wind engineering has a central role to play in sustainable and climate adaptive design of buildings and cities. The current state-of-the-art in High-Performance Computing (HPC) and Computational Fluid Dynamics (CFD) brings the long anticipated ‘virtual wind tunnel’ concept within reach. Carefully designed CFD simulations can provide accurate predictions for a variety of wind engineering flows, and exciting opportunities arise to address urban flow problems that are challenging to investigate in wind tunnels at reduced scale. Examples of such problems are those involving heat transfer, such as the analysis of natural cooling of buildings and urban heat island effects, those involving multi-phase flow problems, such as wind-driven rain, and those involving non-neutral and non-synoptic surface layer winds.
This collection aims to explore the frontiers of methods and applications in computational wind engineering. The high flow Reynolds numbers, the complexity and variability of the boundary conditions and geometries, and the multi-scale and multi-physics nature of wind engineering flows all pose challenges towards accurate and efficient numerical modeling. These challenges should be addressed by proposing and evaluating novel methods and modeling frameworks that aim to improve the predictive capability and efficiency of computational wind engineering. Simultaneously, novel applications should be explored to continue to advance the field and contribute towards realizing the full potential of the virtual wind tunnel concept.
Specific topics of interest include, but are not limited to:
• advances in numerical methods;
• advances in (subgrid) turbulence and wall models;
• advances in data-driven modeling, uncertainty quantification and sensitivity analysis;
• advances in the definition of inlet conditions, including modeling non-synoptic and non-neutral wind conditions;
• multi-scale modeling, including coupling of models at the building to regional scale;
• validation studies and applications for assessing wind comfort, pollutant dispersion, building ventilation and cooling, urban heat island effects and flows in complex topography.
Authors are also encouraged to identify future research needs and directions for the computational wind engineering community.