High-performance concrete strength prediction based on ensemble learning
Author:
Publisher
Elsevier BV
Subject
General Materials Science,Building and Construction,Civil and Structural Engineering
Reference50 articles.
1. High-performance fiber-reinforced concrete: a review;Afroughsabet;Journal of materials science,2016
2. Mechanical properties and durability of high-strength concrete containing macro-polymeric and polypropylene fibers with nano-silica and silica fume;Fallah;Construction and building materials,2017
3. Effectiveness of fibers and binders in high-strength concrete under chemical corrosion;Nematzadeh;Structural engineering and mechanics: An international journal,2017
4. Evaluation of post-heating flexural behavior of steel fiber-reinforced high-strength concrete beams reinforced with FRP bars: Experimental and analytical results;Jafarzadeh;Engineering Structures,2020
5. The combined effect of crumb rubber aggregates and steel fibers on shear behavior of GFRP bar-reinforced high-strength concrete beams;Nematzadeh;Journal of Building Engineering,2021
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