Prediction of Chloride Penetration Depth in Concrete Using a Combined Ensemble-Neural Network Architecture: Facing Data Saturation. [PDF]
Materials (Basel)Jang C, Kim SH, Jo YW, Kim HG.
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Development of eco-friendly HPC using advanced hybrid multi-scale basalt fibers and ground mining materials. [PDF]
Sci RepDaghash MA +3 more
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Mineral Admixture Governs the Synergy of Polymer and Fibers in Ultra-Low Temperature Concrete. [PDF]
Materials (Basel)Li Y, Deng Y.
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Hybrid machine learning approach for predicting compressive strength of sustainable concrete incorporating palm oil fuel ash. [PDF]
Sci RepKazemi R, Pour MA, Gandomi AH.
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Coconut Shell Aggregate and Coir Fiber in Cement Concrete: A Review of Mechanical Performance, Durability, and Sustainability Under Functional Equivalency. [PDF]
Polymers (Basel)Mutnbak M.
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A hybrid machine learning approach for predicting the flexural strength of concrete reinforced with waste aluminium fibres. [PDF]
Sci RepBoursas F +4 more
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A study on the dynamic mechanical properties of coral concrete reinforced with polypropylene and basalt fibers. [PDF]
Sci RepLi Z, Ge H, Kang T, Kang W.
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Predicting Mechanical Strength of Alkali-Activated High-Performance Concrete Using Machine-Learning Methods. [PDF]
Materials (Basel)Biswas R +4 more
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Mechanical and Bond Behavior of a Hybrid Steel-Basalt-Polypropylene Fiber-Reinforced High-Performance Concrete with Steel, GFRP or CFRP Bars. [PDF]
Materials (Basel)Smarzewski P.
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Combined influence of polymeric and mineral fibres on fresh-state performance and fracture properties of high-performance self-compacting concrete. [PDF]
Sci RepSmarzewski P, Błaszczyk K.
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