The high manufacturing costs of UHPFRC applications together with time-consuming tests re- quested for the characterization and control quality restrict a wider application of this kind of smart material in the field of the rehabilitation of concrete structures. For this purpose, predictive strength models are useful to reduce this kind of and, at the same time, optimize the amount of compounds in the mixture according to the design requirements, for example by detecting the minimal dosage of fibers necessary to attain the design tensile strength. At the present, no predictive strength models suitable for HPFRC/UHPFRC are available. This work proposes a model able to predict the mechanical response of HPFRC/UHPFRC for any change of matrix and fiber properties. The reliability of the proposed model was confirmed from a large experimental investigation performed on smart concrete mixes.

Experimental characterization and predictive modeling of the flexural behavior of HPFRC/UHPFRC beams / 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.

Experimental characterization and predictive modeling of the flexural behavior of HPFRC/UHPFRC beams

V. Savino;L. Lanzoni
;
A. M. Tarantino;
2022

Abstract

The high manufacturing costs of UHPFRC applications together with time-consuming tests re- quested for the characterization and control quality restrict a wider application of this kind of smart material in the field of the rehabilitation of concrete structures. For this purpose, predictive strength models are useful to reduce this kind of and, at the same time, optimize the amount of compounds in the mixture according to the design requirements, for example by detecting the minimal dosage of fibers necessary to attain the design tensile strength. At the present, no predictive strength models suitable for HPFRC/UHPFRC are available. This work proposes a model able to predict the mechanical response of HPFRC/UHPFRC for any change of matrix and fiber properties. The reliability of the proposed model was confirmed from a large experimental investigation performed on smart concrete mixes.
ICCSE2 - 2nd International Conference on Computations for Science and Engineering
Rimini
30 August - 2 September 2022
Savino, V.; Lanzoni, L.; Tarantino, A. M.; Viviani, M.
Experimental characterization and predictive modeling of the flexural behavior of HPFRC/UHPFRC beams / 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.
File in questo prodotto:
File Dimensione Formato  
ICCSE2_Proceedings.pdf

accesso aperto

Descrizione: Book of abstracts
Tipologia: Versione dell'editore (versione pubblicata)
Dimensione 505.66 kB
Formato Adobe PDF
505.66 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1285985
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact