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Catherine Gorlé

La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Ciarlatani, Mattia Fabrizio / Huang, Zhu / Philips, David / Gorlé, Catherine (2023): Investigation of peak wind loading on a high-rise building in the atmospheric boundary layer using large-eddy simulations. Dans: Journal of Wind Engineering and Industrial Aerodynamics, v. 236 (mai 2023).

    https://doi.org/10.1016/j.jweia.2023.105408

  2. Chen, Chen / Chew, Lup Wai / Gorlé, Catherine (2023): Characterizing spatial variability in the temperature field to support thermal model validation in a naturally ventilated building. Dans: Journal of Building Performance Simulation, v. 16, n. 4 (janvier 2023).

    https://doi.org/10.1080/19401493.2023.2179115

  3. Hwang, Yunjae / Gorlé, Catherine (2022): Large-Eddy Simulations of Wind-Driven Cross Ventilation, Part 2: Comparison of Ventilation Performance Under Different Ventilation Configurations. Dans: Frontiers in Built Environment, v. 8 (février 2022).

    https://doi.org/10.3389/fbuil.2022.911253

  4. Hwang, Yunjae / Gorlé, Catherine (2022): Large-Eddy Simulations of Wind-Driven Cross Ventilation, Part1: Validation and Sensitivity Study. Dans: Frontiers in Built Environment, v. 8 (février 2022).

    https://doi.org/10.3389/fbuil.2022.911005

  5. Chen, Chen / Gorlé, Catherine (2022): Full-scale validation of CFD simulations of buoyancy-driven ventilation in a three-story office building. Dans: Building and Environment, v. 221 (août 2022).

    https://doi.org/10.1016/j.buildenv.2022.109240

  6. Gorlé, Catherine (2022): Improving the predictive capability of building simulations using uncertainty quantification. Dans: Science and Technology for the Built Environment, v. 28, n. 5 (avril 2022).

    https://doi.org/10.1080/23744731.2022.2079261

  7. Chew, Lup Wai / Chen, Chen / Gorlé, Catherine (2022): Improving thermal model predictions for naturally ventilated buildings using large eddy simulations. Dans: Building and Environment, v. 220 (juillet 2022).

    https://doi.org/10.1016/j.buildenv.2022.109241

  8. Pomaranzi, Giulia / Amerio, Luca / Schito, Paolo / Lamberti, Giacomo / Gorlé, Catherine / Zasso, Alberto (2022): Wind tunnel pressure data analysis for peak cladding load estimation on a high-rise building. Dans: Journal of Wind Engineering and Industrial Aerodynamics, v. 220 (janvier 2022).

    https://doi.org/10.1016/j.jweia.2021.104855

  9. Chen, Chen / Gorlé, Catherine (2022): Optimal temperature sensor placement in buildings with buoyancy-driven natural ventilation using computational fluid dynamics and uncertainty quantification. Dans: Building and Environment, v. 207 (janvier 2022).

    https://doi.org/10.1016/j.buildenv.2021.108496

  10. Lamberti, Giacomo / Gorlé, Catherine (2021): A multi-fidelity machine learning framework to predict wind loads on buildings. Dans: Journal of Wind Engineering and Industrial Aerodynamics, v. 214 (juillet 2021).

    https://doi.org/10.1016/j.jweia.2021.104647

  11. Lamberti, Giacomo / Gorlé, Catherine (2018): Uncertainty quantification for modeling night-time ventilation in Stanford’s Y2E2 building. Dans: Energy and Buildings, v. 168 (juin 2018).

    https://doi.org/10.1016/j.enbuild.2018.03.022

  12. Lamberti, Giacomo / Gorlé, Catherine (2020): Sensitivity of LES predictions of wind loading on a high-rise building to the inflow boundary condition. Dans: Journal of Wind Engineering and Industrial Aerodynamics, v. 206 (novembre 2020).

    https://doi.org/10.1016/j.jweia.2020.104370

  13. Lamberti, Giacomo / Amerio, Luca / Pomaranzi, Giulia / Zasso, Alberto / Gorlé, Catherine (2020): Comparison of high resolution pressure measurements on a high-rise building in a closed and open-section wind tunnel. Dans: Journal of Wind Engineering and Industrial Aerodynamics, v. 204 (septembre 2020).

    https://doi.org/10.1016/j.jweia.2020.104247

  14. Sousa, Jorge / Gorlé, Catherine (2019): Computational urban flow predictions with Bayesian inference: Validation with field data. Dans: Building and Environment, v. 154 (mai 2019).

    https://doi.org/10.1016/j.buildenv.2019.02.028

  15. Sousa, Jorge / García-Sánchez, Clara / Gorlé, Catherine (2018): Improving urban flow predictions through data assimilation. Dans: Building and Environment, v. 132 (mars 2018).

    https://doi.org/10.1016/j.buildenv.2018.01.032

  16. Lamberti, Giacomo / García-Sánchez, Clara / Sousa, Jorge / Gorlé, Catherine (2018): Optimizing turbulent inflow conditions for large-eddy simulations of the atmospheric boundary layer. Dans: Journal of Wind Engineering and Industrial Aerodynamics, v. 177 (juin 2018).

    https://doi.org/10.1016/j.jweia.2018.04.004

  17. Gorlé, Catherine / García-Sánchez, Clara / Iaccarino, Gianluca (2015): Quantifying inflow and RANS turbulence model form uncertainties for wind engineering flows. Dans: Journal of Wind Engineering and Industrial Aerodynamics, v. 144 (septembre 2015).

    https://doi.org/10.1016/j.jweia.2015.03.025

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