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Juan M. Gimenez ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Andrioli Medinilha-Carvalho, Talita / Silva, Fernando Vitor Marques da / Bre, Facundo / Gimenez, Juan M. / Labaki, Lucila Chebel (2024): Experimental Study of Wind Pressures on Low-Rise H-Shaped Buildings. In: Buildings, v. 14, n. 3 (21 February 2024).

    https://doi.org/10.3390/buildings14030762

  2. Aguerre, Horacio J. / Gimenez, Juan M. / Escribano, Francisco / Nigro, Norberto M. (2024): Aerodynamic study of a moving Ahmed body by numerical simulation. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 245 (February 2024).

    https://doi.org/10.1016/j.jweia.2023.105635

  3. Gimenez, Juan M. / Bre, Facundo (2023): An enhanced k-ω SST model to predict airflows around isolated and urban buildings. In: Building and Environment, v. 237 (June 2023).

    https://doi.org/10.1016/j.buildenv.2023.110321

  4. Bre, Facundo / Gimenez, Juan M. (2022): A cloud-based platform to predict wind pressure coefficients on buildings. In: Building Simulation, v. 15, n. 8 (25 March 2022).

    https://doi.org/10.1007/s12273-021-0881-9

  5. Gimenez, Juan M. / Bre, Facundo / Nigro, Norberto M. / Fachinotti, Victor (2018): Computational modeling of natural ventilation in low-rise non-rectangular floor-plan buildings. In: Building Simulation, v. 11, n. 6 (September 2018).

    https://doi.org/10.1007/s12273-018-0461-9

  6. Bre, Facundo / Gimenez, Juan M. / Fachinotti, Víctor D. (2018): Prediction of wind pressure coefficients on building surfaces using artificial neural networks. In: Energy and Buildings, v. 158 (January 2018).

    https://doi.org/10.1016/j.enbuild.2017.11.045

  7. Gimenez, Juan M. / Bre, Facundo (2019): Optimization of RANS turbulence models using genetic algorithms to improve the prediction of wind pressure coefficients on low-rise buildings. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 193 (October 2019).

    https://doi.org/10.1016/j.jweia.2019.103978

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