People
Woubishet Taffese
Postdoctoral Researcher
Summary
Developing AI models that predict carbonation depth, chloride profile, chloride diffusivity, and hygrothermal performance in concrete structures as well as physical and mechanical properties of stabilized soils.
Projects
Publications
Taffese, W., Espinosa-Leal, L. (2024) Unveiling non-steady chloride migration insights through explainable machine learning undefined. Available at: https://doi.org/10.1016/j.jobe.2023.108370
Taffese, W. Z., & Espinosa-Leal, L. (2023). Multitarget regression models for predicting compressive strength and chloride resistance of concrete. Journal of Building Engineering, 72, 106523.. Available at: https://doi.org/10.1016/j.jobe.2023.106523
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. Available at: https://doi.org/10.1016/j.jobe.2022.105146
Taffese, W. Z., & Espinosa-Leal, L. (2022). A machine learning method for predicting the chloride migration coefficient of concrete. Construction and Building Materials, 348, 128566.. Available at: https://doi.org/10.1016/j.conbuildmat.2022.128566
