We aim to advance understanding and predictive modeling of wind flow in urban areas through collaborative learning and research. Our research focusses on establishing multi-scale and multi-fidelity modeling frameworks that incorporate uncertainty quantification and data assimilation, and on investigating how these tools can effectively support sustainable urban and building design.
Giacomo Lamberti, Catherine Gorlé (2020). Sensitivity of LES predictions of wind loading on a high-rise building to the inflow boundary condition. Journal of Wind Engineering and Industrial Aerodynamics, Volume 206, 104370.
of the world's population lives in cities today. According to UN projections this number will increase to 60% by 2030. Read here about the UN's 11th Sustainable Development Goal: Make cities and human settlements inclusive, safe, resilient and sustainable.