A comprehensive comparison of various machine learning algorithms used for predicting the splitting tensile strength of steel fiber-reinforced concrete
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Elsevier BV
Reference45 articles.
1. Evaluation and Prediction of Tensile Strength of Steel Fiber Concrete;Lolla,2022
2. Corrosion resistance of steel fibre reinforced concrete-A literature review;Marcos-Meson;Cem. Concr. Res.,2018
3. Recycled steel fiber for fiber reinforced concrete production: fresh and hardened properties, cost, and ecological assessments;Roshan;J. Build. Pathol. Rehabil.,2023
4. Comparison of tensile strength fiber reinforced concrete with different types of fibers;Marcalikova;Procedia Struct. Integr.,2020
5. Analysis and prediction of the compressive and splitting tensile performances for the novel multiple hooked-end steel fiber reinforced concrete;Gao;Struct. Concr.,2023
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