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Giacomo Lamberti
Giacomo Lamberti
Uber Technologies
Verified email at stanford.edu
Title
Cited by
Cited by
Year
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
532018
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
302021
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
292020
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
222020
Uncertainty quantification for modeling night-time ventilation in Stanford’s Y2E2 building
G Lamberti, C Gorlé
Energy and buildings 168, 319-330, 2018
162018
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
102022
Uncertainty quantification for RANS predictions of wind loads on buildings
G Lamberti, C Gorlé
Proceedings of the XV Conference of the Italian Association for Wind …, 2019
82019
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
42019
A Multi-Fidelity Numerical Framework for Predicting Wind Loads on Buildings
G Lamberti
Stanford University, 2020
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
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Articles 1–17