5 citations · 5 across the 2 of their papers we have counts for
3 papers
Configurable convolutional neural networks for real-time pedestrian-level wind prediction in urban environments
Alfredo Vicente Clemente, Knut Erik Teigen Giljarhus, Luca Oggiano +1
Urbanization has underscored the importance of understanding the pedestrian wind environment in urban and architectural design contexts. Pedestrian Wind Comfort (PWC) focuses on th…
Positional Encoding Augmented GAN for the Assessment of Wind Flow for Pedestrian Comfort in Urban Areas
Henrik Hoeiness, Kristoffer Gjerde, Luca Oggiano +2
Approximating wind flows using computational fluid dynamics (CFD) methods can be time-consuming. Creating a tool for interactively designing prototypes while observing the wind flo…
Influence of Geometry Acquisition Method on Pedestrian Wind Simulations
Trond-Ola Hågbo, Knut Erik Teigen Giljarhus, Bjørn Helge Hjertager
The construction of a building inevitably changes the microclimate in its vicinity. Many city authorities request comprehensive wind studies before granting a building permit, whic…