Engineered Cementitious Composites (ECC) exhibit exceptional strain-hardening behavior, yet predicting their tensile properties remains challenging due to complex nonlinear interactions among mix constituents and fiber characteristics. This study presents a comprehensive machine learning framework for predicting both t...
Amro A. Seifelnasr, M. A. Alhaj-Hussein, Jamal A. Abdalla et al.· Proceedings of International...· 0 citations
Concrete-filled steel tubes (CFST) have been used in structural engineering due to the advantages of the ductility of steel and strength of concrete. While a large number of research studies are available for estimating the ultimate load capacity of the CFST cross-sections, the inverse problem of designing the optimum...
Hadia E. M. Ahmed, Jamal A. Abdalla, R. Hawileh· Proceedings of International...· 0 citations
To address the identified research gaps, this study offers a strategy for forecasting the FRP shear contribution using seven supervised ML algorithms and Shapley Additive exPlainations (SHAP)—a novel black-box interpretation approach—was used to explain the predictions.
Zahira Sadoun, A. Elnemr, Farid Bouziadi et al.· Journal of reinforced plasti...· 0 citations
Polyethylene (PE) fibers enable engineered cementitious composites (ECCs) to achieve tensile strain-hardening and multiple-cracking behavior through fiber bridging; however, the relatively large crack widths that can develop in PE fiber-reinforced high-strength ECC (HS-ECC) may limit its autogenous self-healing capabil...
Zhi-Gang Zhang, Xiang-Wen Lei, Jamal A. Abdalla et al.· Polymers· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.