Optimizing turbulent inflow conditions for large-eddy simulations of the atmospheric boundary layer G Lamberti, C García-Sánchez, J Sousa, C Gorlé Journal of Wind Engineering and Industrial Aerodynamics 177, 32-44, 2018 | 63 | 2018 |
A multi-fidelity machine learning framework to predict wind loads on buildings G Lamberti, C Gorlé Journal of Wind Engineering and Industrial Aerodynamics 214, 104647, 2021 | 40 | 2021 |
Sensitivity of LES predictions of wind loading on a high-rise building to the inflow boundary condition G Lamberti, C Gorlé Journal of Wind Engineering and Industrial Aerodynamics 206, 104370, 2020 | 36 | 2020 |
Comparison of high resolution pressure measurements on a high-rise building in a closed and open-section wind tunnel G Lamberti, L Amerio, G Pomaranzi, A Zasso, C Gorlé Journal of wind engineering and industrial aerodynamics 204, 104247, 2020 | 28 | 2020 |
Uncertainty quantification for modeling night-time ventilation in Stanford’s Y2E2 building G Lamberti, C Gorlé Energy and buildings 168, 319-330, 2018 | 18 | 2018 |
Wind tunnel pressure data analysis for peak cladding load estimation on a high-rise building G Pomaranzi, L Amerio, P Schito, G Lamberti, C Gorlé, A Zasso Journal of Wind Engineering and Industrial Aerodynamics 220, 104855, 2022 | 16 | 2022 |
Uncertainty quantification for RANS predictions of wind loads on buildings G Lamberti, C Gorlé Conference of the Italian Association for Wind Engineering, 402-412, 2018 | 9 | 2018 |
Comparison of high-resolution pressure peaks in closed and open-section wind tunnels L Amerio, G Lamberti, G Pomaranzi, A Zasso, C Gorlé Proceedings of the XV Conference of the Italian Association for Wind …, 2019 | 4 | 2019 |
A Multi-Fidelity Numerical Framework for Predicting Wind Loads on Buildings G Lamberti Stanford University, 2020 | 1 | 2020 |
Large eddy simulations of wind loading on a high-rise building in the atmospheric boundary layer Z Huang, D Philips, G Lamberti, C Gorlé APS Division of Fluid Dynamics Meeting Abstracts, M02. 018, 2019 | | 2019 |
Data-driven predictions of root mean square pressure fluctuations from RANS simulations G Lamberti, C Gorle APS Division of Fluid Dynamics Meeting Abstracts, H19. 004, 2019 | | 2019 |
Investigating inflow uncertainty in LES predictions of wind loading G Lamberti, C Gorle Bulletin of the American Physical Society 63, 2018 | | 2018 |
Validating computational predictions of night-time ventilation in Stanford's Y2E2 building C Chen, G Lamberti, C Gorle APS Division of Fluid Dynamics Meeting Abstracts, KP1. 054, 2017 | | 2017 |
Optimizing inflow boundary conditions for LES of wind loading G Lamberti, C Gorle APS Division of Fluid Dynamics Meeting Abstracts, F31. 002, 2017 | | 2017 |
Predicting night-time natural ventilation in Stanford's Y2E2 building using an integral model in combination with a CFD model G Lamberti, C Gorle APS Division of Fluid Dynamics Meeting Abstracts, M29. 007, 2016 | | 2016 |
RANS and LES simulations of the airflow through nasal cavities G Lamberti APS Division of Fluid Dynamics Meeting Abstracts, KP1. 014, 2015 | | 2015 |
Simulazioni RANS e LES della fluidodinamica delle cavità nasali F MANARA, G LAMBERTI Politecnico di Milano, 2013 | | 2013 |