0

DE
EN
FR
Base de données et galerie internationale d'ouvrages d'art et du génie civil

Publicité

Leonardo Espinosa-Leal

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.

Taffese, Woubishet Zewdu / Espinosa-Leal, Leonardo (2023): Multitarget regression models for predicting compressive strength and chloride resistance of concrete. Dans: Journal of Building Engineering, v. 72 (août 2023).
https://doi.org/10.1016/j.jobe.2023.106523
Taffese, Woubishet Zewdu / Espinosa-Leal, Leonardo (2024): Unveiling non-steady chloride migration insights through explainable machine learning. Dans: Journal of Building Engineering, v. 82 (avril 2024).
https://doi.org/10.1016/j.jobe.2023.108370
Gebrehiwot, Silas / Espinosa-Leal, Leonardo / Remes, Heikki / Vermunt, Marinus (2023): Characterising the notch root radii and analyses of stress concentration factors near the dominant valleys of rough surface profiles. Dans: Rakenteiden Mekaniikka = Journal of Structural Mechanics, v. 56, n. 2 (12 juin 2023).
https://doi.org/10.23998/rm.124815
Taffese, Woubishet Zewdu / Espinosa-Leal, Leonardo (2022): Prediction of chloride resistance level of concrete using machine learning for durability and service life assessment of building structures. Dans: Journal of Building Engineering, v. 60 (novembre 2022).
https://doi.org/10.1016/j.jobe.2022.105146
Taffese, Woubishet Zewdu / Espinosa-Leal, Leonardo (2022): A machine learning method for predicting the chloride migration coefficient of concrete. Dans: Construction and Building Materials, v. 348 (septembre 2022).
https://doi.org/10.1016/j.conbuildmat.2022.128566

Publicité

Publicité

Structurae coopère avec

International Association for Bridge and Structural Engineering (IABSE)

e-mosty Magazine

e-BrIM Magazine

Publicité