Statistical modelling of cement slurries for self-compacting SIFCON containing silica fume

Title: Statistical modelling of cement slurries for self-compacting SIFCON containing silica fume
Author(s): M. Sonebi, L. Svermova, P. J. M. Bartos
Paper category : journal
Serial title: Materials and Structures
Abreviated Serial title: Mater. Struct.
ISSN: 1359-5997
Publisher: RILEM Publications SARL
Volume: 38
Issue: 275
Issue date: 2005-01-01
Publication year: 2005
Pages: 79 - 86
Total Pages: 8
Nb references: 18
Language: English

Abstract: This paper reports a study carried out to develop a self-compacting fibre reinforced concrete containing a high fibre content with slurry infiltrated fibre concrete (SIFCON).
The SIFCON was developed with 10% of steel fibres which are infiltrated by self-compacting cement slurry without any vibration.
Traditionally, the infiltration of the slurry into the layer of fibres is carried out under intensive vibration.
A two-level fractional factorial design was used to optimise the properties of cement-based slurries with four independent variables, such as dosage of silica fume, dosage of superplasticiser, sand content, and water/cement ratio (W/C).
Rheometer, mini-slump test, Lombardi plate cohesion meter, J-fibre penetration test, and induced bleeding were used to assess the behaviour of fresh cement slurries.
The compressive strengths at 7 and 28 days were also measured.
The statistical models are valid for slurries made with W/C of 0.
40 to 0.
50, 50 to 100% of sand by mass of cement, 5 to 10% of silica fume by mass of cement, and SP dosage of 0.
6 to 1.
2% by mass of cement.
This model makes it possible to evaluate the effect of individual variables on measured parameters of fresh cement slurries.
The proposed models offered useful information to understand trade-offs between mix variables and compare the responses obtained from various test methods in order to optimise self-compacting SIFCON.

Online publication: 2004-12-23
Classification: Scientific Reports
Publication type : full_text
Public price (Euros): 0.00
doi: 10.1617/14044