0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Join our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessYes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationWind flow modeling in urban areas is influenced by many uncertainties, such as geometric detailing, inflow and boundary conditions, numerical approach (RANS, LES, and DNS) and turbulence model. This study aims to investigate how the different inflow conditions that are usually adopted to simulate urban wind flows may affect the accuracy of the results. CFD simulations were performed on a selected urban area - “Quartiere La Venezia” in Livorno (Italy) - using a steady-state RANS approach. Two types of inflow profiles were considered for one wind direction (α = 240° from the North). Wind tunnel tests performed on the same urban model were used as a benchmark to validate the numerical simulations. Mean wind profiles at 25 locations were compared and the statistical performance in terms of four different metrics was quantified for both inflow conditions. The results show that slightly different inflow conditions can greatly affect the results in terms of mean wind speed and turbulent kinetic energy.
Alessio Ricci, I Ivo Kalkman, Bert Blocken, Massimiliano Burlando, Andrea Freda, Maria Pia Repetto (2016). Inflow condition sensitivity in the CFD simulation of wind flow in the urban environment.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2016
Authors
6
Datasets
0
Total Files
0
Language
en
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access