Physics-informed surrogate of urban wind from sparse measurements
Field 30 MB
Field and CFD data for physics-informed surrogate modelling of urban wind under sparse measurements.
- Resource
- Measurements, Simulation output
- Method
- Field, RANS, ML / surrogate
- Geometry
- Realistic neighbourhood
- Topic
- Wind loads & pedestrian wind
- Quantities
- Velocity
- Data volume
- 30 MB
- Year
- 2026
- Licence
- CC BY 4.0
- Creators
- Hongyuan, Huo; Han, Zhang
From Zenodo, added 2026-11-07. Listed there as “Physics-Informed Surrogate Modeling of Urban Wind Environments under Sparse Measurements: A Pressure-Free Parameterized PINN with Soft Geometric Constraints”. Tags proposed by AI and not yet checked by hand. Spotted a mistake? Tell the portal contacts.