Flow simulations around randomly generated urban geometries (Random Buildings)
Simulation 3.6 GB
Dataset of microscale atmospheric flow simulations around randomly generated urban geometries for several stability classes. Useful for training and testing ML surrogates of urban flow.
- Resource
- Simulation output
- Method
- RANS, ML / surrogate
- Geometry
- Idealised array
- Topic
- Urban boundary layer, Wind loads & pedestrian wind
- Quantities
- Velocity, Turbulence statistics
- Codes / models
- AB-SWIFT
- Data volume
- 3.6 GB
- Year
- 2026
- Licence
- MIT
- Creators
- de Villeroché, Armand
- Institution
- Électricité de France (France)
From Zenodo, added 2026-11-07. Listed there as “Random Buildings dataset”. Tags proposed by AI and not yet checked by hand. Spotted a mistake? Tell the portal contacts.