Smart fiber reinforced cementitious composites, like HPFRC and UHPFRC, are today widely ap- plied in the field of the rehabilitation of concrete structures. However, one of the main drawback of HPFRC/UHPFRC is that any modification of the matrix-fibers mix design, due to the market require- ments, affects the mechanical properties of the hardened smart concrete, thus making useless tests performed on previous version of the smart material. For this purpose prediction strength models that link the properties of both fibers and matrix to the performances of the smart concrete are of great practical interest. This work presents a simple and effective model that predicts the compressive and tensile strengths of HPFRC as the fiber properties change. The predictive data obtained by the proposed model were compared to experimental data, showing a good agreement.
Predictive models for the ultimate tensile and compressive strengths of HPFRC/UHPFRC / Savino, V.; Lanzoni, L.; Tarantino, A. M.; Viviani, M.. - (2022). (Intervento presentato al convegno ICCSE2 - 2nd International Conference on Computations for Science and Engineering tenutosi a Rimini nel 30 August - 2 September 2022).
Predictive models for the ultimate tensile and compressive strengths of HPFRC/UHPFRC
V. Savino
;L. Lanzoni;A. M. Tarantino;
2022
Abstract
Smart fiber reinforced cementitious composites, like HPFRC and UHPFRC, are today widely ap- plied in the field of the rehabilitation of concrete structures. However, one of the main drawback of HPFRC/UHPFRC is that any modification of the matrix-fibers mix design, due to the market require- ments, affects the mechanical properties of the hardened smart concrete, thus making useless tests performed on previous version of the smart material. For this purpose prediction strength models that link the properties of both fibers and matrix to the performances of the smart concrete are of great practical interest. This work presents a simple and effective model that predicts the compressive and tensile strengths of HPFRC as the fiber properties change. The predictive data obtained by the proposed model were compared to experimental data, showing a good agreement.File | Dimensione | Formato | |
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