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Woubishet Zewdu Taffese ORCID

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. Taffese, Woubishet Zewdu / Zhu, Yanping / Chen, Genda (2024): Ensemble-learning model based ultimate moment prediction of reinforced concrete members strengthened by UHPC. Dans: Engineering Structures, v. 305 (avril 2024).

    https://doi.org/10.1016/j.engstruct.2024.117705

  2. Cheng, Cheng / Taffese, Woubishet Zewdu / Hu, Tianyu (2024): Accurate Prediction of Punching Shear Strength of Steel Fiber-Reinforced Concrete Slabs: A Machine Learning Approach with Data Augmentation and Explainability. Dans: Buildings, v. 14, n. 5 (24 avril 2024).

    https://doi.org/10.3390/buildings14051223

  3. 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

  4. 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

  5. Getachew, Ephrem Melaku / Yifru, Begashaw Worku / Taffese, Woubishet Zewdu / Yehualaw, Mitiku Damtie (2023): Enhancing Mortar Properties through Thermoactivated Recycled Concrete Cement. Dans: Buildings, v. 13, n. 9 (23 août 2023).

    https://doi.org/10.3390/buildings13092209

  6. 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

  7. 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

  8. Taffese, Woubishet Zewdu / Abegaz, Kassahun Admassu (2022): Prediction of Compaction and Strength Properties of Amended Soil Using Machine Learning. Dans: Buildings, v. 12, n. 5 (24 avril 2022).

    https://doi.org/10.3390/buildings12050613

  9. Taffese, Woubishet Zewdu / Abegaz, Kassahun Admassu (2019): Embodied Energy and CO2 Emissions of Widely Used Building Materials: The Ethiopian Context. Dans: Buildings, v. 9, n. 6 (juin 2019).

    https://doi.org/10.3390/buildings9060136

  10. Taffese, Woubishet Zewdu / Sistonen, Esko / Puttonen, Jari (2015): CaPrM: Carbonation prediction model for reinforced concrete using machine learning methods. Dans: Construction and Building Materials, v. 100 (décembre 2015).

    https://doi.org/10.1016/j.conbuildmat.2015.09.058

  11. Taffese, Woubishet Zewdu / Sistonen, Esko (2016): Neural network based hygrothermal prediction for deterioration risk analysis of surface-protected concrete façade element. Dans: Construction and Building Materials, v. 113 (juin 2016).

    https://doi.org/10.1016/j.conbuildmat.2016.03.029

  12. Taffese, Woubishet Zewdu / Sistonen, Esko (2017): Significance of chloride penetration controlling parameters in concrete: Ensemble methods. Dans: Construction and Building Materials, v. 139 (mai 2017).

    https://doi.org/10.1016/j.conbuildmat.2017.02.014

  13. Taffese, Woubishet Zewdu / Sistonen, Esko (2017): Machine learning for durability and service-life assessment of reinforced concrete structures: Recent advances and future directions. Dans: Automation in Construction, v. 77 (mai 2017).

    https://doi.org/10.1016/j.autcon.2017.01.016

  14. Taffese, Woubishet Zewdu (2018): Suitability Investigation of Recycled Concrete Aggregates for Concrete Production: An Experimental Case Study. Dans: Advances in Civil Engineering, v. 2018 ( 2018).

    https://doi.org/10.1155/2018/8368351

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