Physically explicable mathematical model for strength prediction of UHPFRC

•Extensive UHPFRC mixtures acquired from the literature were analyzed.•Key factors affecting the strength of UHPFRC mixtures were discussed.•Mathematical and ANN models for strength of UHPFRC was established. This paper presents a quantitative analysis of the mechanical performance of ultra-high per...

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Veröffentlicht in:	Engineering structures 2023-01, Vol.275, p.115191, Article 115191
Hauptverfasser:	Chu, S.H., Kurumisawa, K., Kong, Y.K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aggregate Artificial neural networks Cementitious paste volume Design engineering Empirical analysis Fiber reinforced concrete (FRC) Fiber reinforced concretes Mathematical analysis Mathematical models Mechanical properties Neural networks Reinforced concrete Robustness (mathematics) Steel fibers Strength Sustainable design Ultra high performance concrete Ultra-high performance concrete (UHPC) Wet packing density
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